[ { "path": ".deepsource.toml", "content": "version = 1\n\ntest_patterns = [\"**/tests/**\"]\n\nexclude_patterns = [\n \"include/vendor/**\",\n \"include/jpgraph/**\",\n]\n\n[[analyzers]]\nname = \"shell\"\n\n[[analyzers]]\nname = \"javascript\"\n\n [analyzers.meta]\n environment = [\"browser\"]\n\n[[analyzers]]\nname = \"python\"\n\n [analyzers.meta]\n runtime_version = \"3.x.x\"\n max_line_length = 188\n\n[[analyzers]]\nname = \"php\"\n\n [analyzers.meta]\n bootstrap_files = [\"include/dbase.stub.php\", \"config/settings.inc.php.in\"]\n" }, { "path": ".editorconfig", "content": "# EditorConfig helps maintain consistent coding styles between editors and IDEs.\n# See https://editorconfig.org\n# Root marker\nroot = true\n\n[*]\ncharset = utf-8\nend_of_line = lf\ninsert_final_newline = true\ntrim_trailing_whitespace = true\n# Let linters/formatters (ruff, eslint) enforce line length\nmax_line_length = off\n\n[*.{py,php,js,jsx,ts,tsx,cjs,mjs,sh,bash}]\nindent_style = space\nindent_size = 4\ntab_width = 4\n\n[*.{yml,yaml}]\nindent_style = space\nindent_size = 2\n\n[*.{json,jsonc}]\nindent_style = space\nindent_size = 2\n\n[*.md]\n# Preserve intentional double-space line breaks and trailing spaces in tables\ntrim_trailing_whitespace = false\ninsert_final_newline = true\n\n[Makefile]\n# Tabs are required for make recipes\nindent_style = tab\n\n[Dockerfile]\nindent_style = space\nindent_size = 4\n\n[*.{ini,conf}]\nindent_style = space\nindent_size = 4\n" }, { "path": ".github/ci_db_testdata.py", "content": "\"\"\"Update The Test Database.\n\nThe test database instance for CI has static data for testing. This is static\nfrom the time of the docker image build. This script runs from GHA and does\nsome mucking with the database to improve coverage.\n\n\"\"\"\n\nfrom pyiem.database import sql_helper, with_sqlalchemy_conn\nfrom pyiem.network import Table as NetworkTable\nfrom pyiem.util import logger\nfrom sqlalchemy.engine import Connection\n\nLOG = logger()\n\n\n@with_sqlalchemy_conn(\"isuag\")\ndef create_realtime_isuag(conn: Connection | None = None) -> None:\n \"\"\"Create the realtime table if needed.\"\"\"\n nt = NetworkTable(\"ISUSM\")\n for sid in nt.sts:\n conn.execute(\n sql_helper(\"\"\"\n insert into sm_minute (station, valid, tair_c_avg_qc, sv_t2_qc,\n sv_vwc2_qc) values\n (:sid, now(), :tmpc, :tmpc, :vwc)\"\"\"),\n {\n \"sid\": sid,\n \"tmpc\": None if sid == \"AHDI4\" else 20.0,\n \"vwc\": None if sid in [\"AMFI4\", \"AHDI4\"] else 0.2,\n },\n )\n conn.execute(\n sql_helper(\"\"\"\n insert into sm_daily (station, valid, tair_c_max_qc) values\n (:sid, now(), :tmpc)\"\"\"),\n {\"sid\": sid, \"tmpc\": 20.0},\n )\n if sid in [\"CRFI4\", \"BOOI4\", \"CAMI4\"]:\n conn.execute(\n sql_helper(\"\"\"\n insert into sm_inversion (station, valid, tair_15_c_avg_qc) values\n (:sid, now(), :tmpc)\"\"\"),\n {\"sid\": sid, \"tmpc\": 20.0},\n )\n\n conn.commit()\n\n\n@with_sqlalchemy_conn(\"iem\")\ndef create_iemaccess_isuag(conn: Connection | None = None) -> None:\n \"\"\"Create the realtime table if needed.\"\"\"\n nt = NetworkTable(\"ISUSM\")\n for sid in nt.sts:\n conn.execute(\n sql_helper(\"\"\"\n insert into current (iemid, valid, tmpf) values\n (:iemid, now(), :tmpf)\"\"\"),\n {\n \"iemid\": nt.sts[sid][\"iemid\"],\n \"tmpf\": 20.0 if sid[2] > \"F\" else None,\n },\n )\n conn.commit()\n\n\n@with_sqlalchemy_conn(\"id3b\")\ndef ldm_product_log(conn: Connection | None = None) -> None:\n \"\"\"Update these to the future.\"\"\"\n conn.execute(\n sql_helper(\"\"\"\n update ldm_product_log SET\n entered_at = now() - ('2024-12-03 19:30+00'::timestamptz - entered_at),\n valid_at = now() - ('2024-12-03 19:30+00'::timestamptz - valid_at),\n wmo_valid_at = now() -\n ('2024-12-03 19:30+00'::timestamptz - wmo_valid_at)\n where entered_at between '2024-12-03 16:00+00'\n and '2024-12-03 20:00+00'\n\"\"\")\n )\n conn.commit()\n\n\n@with_sqlalchemy_conn(\"radar\")\ndef nexrad_attributes(conn: Connection | None = None) -> None:\n \"\"\"Update these to be current.\"\"\"\n res = conn.execute(\n sql_helper(\"update nexrad_attributes SET valid = now()\")\n )\n LOG.warning(\"Updated %s nexrad_attributes to current time\", res.rowcount)\n conn.commit()\n\n\ndef main():\n \"\"\"Go Main.\"\"\"\n ldm_product_log()\n nexrad_attributes()\n create_realtime_isuag()\n create_iemaccess_isuag()\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": ".github/copilot-instructions.md", "content": "# IEM Repo\n\nEvery time you choose to apply a rule(s), explicitly state the rule(s) in the\noutput. You can abbreviate the rule description to a single word or phrase.\n\n## Code Stack\n\n- PHP 8.4\n- Tabulator JavaScript library for interactive tables\n- Python 3.14\n- PostgreSQL 18\n- Bootstrap 5\n- OpenLayers for interactive maps\n\n## Code Organization and Abstractions\n\n- Before creating new utility functions, check if similar functionality exists\n in `/htdocs/js/iemjs/` or `/src/iemjs/`.\n- When refactoring for complexity, prefer creating reusable abstractions\n in `/htdocs/js/iemjs/` or `/src/iemjs/`.\n- Look for patterns that appear across multiple modules and extract them to\n shared utilities.\n- When fixing ESLint complexity warnings, prioritize creating shared utilities \n over module-specific helper functions.\n- Always search the codebase for similar patterns before creating new functions.\n- Common patterns that should be abstracted:\n - Form validation and input handling\n - URL parameter parsing/updating and hash migration\n - API request handling with error management and loading states\n - DOM element selection and manipulation beyond what's in domUtils.js\n - Date/time formatting and parsing utilities\n - Table/data processing and formatting\n - Keyboard navigation and event handling patterns\n\n## Refactoring Strategy\n\n- When asked to \"address complexity\", first analyze if the complexity comes from:\n 1. **Reusable logic** → extract to shared utilities in `/src/iemjs/`\n 2. **Module-specific orchestration** → break into smaller, focused functions\n 3. **Repetitive patterns** → create abstractions that multiple modules can use\n- Before creating 3+ similar helper functions across different modules, \n consolidate into a shared utility.\n- When creating shared utilities, design them to handle the most common use cases\n across the codebase, not just the immediate problem.\n\n**Note**: This abstraction strategy applies only to ES modules (files using `import`/`export`). \nLegacy JavaScript files should keep complexity-reducing functions within their own modules.\n\n## Rules\n\n- It is not acceptable to rewrite a file by creating a new file and then overwriting\n the original file with the new file. Instead, you should edit the original file\n directly.\n- Jquery should not be used and any instances of it should be replaced\n with vanilla JavaScript.\n- Code comments should explain functionality, not detail why the code was\n added.\n- JavaScript code should not be embedded in HTML files.\n- Jquery-UI should not be used and any instances of it should be replaced\n with vanilla JavaScript.\n- Avoid usage of `this` in JavaScript code, as it can lead to confusion\n and bugs. Use arrow functions or bind methods to the correct context instead.\n- When you suggest URLs to open for testing, you should use the domain name\n of `iem.local` instead of `localhost`. HTTPS is required.\n\n## ESLint Usage\n\n- **ALWAYS use `npx eslint ` for linting individual files.**\n- Use the direct ESLint command to get accurate, file-specific linting results.\n\n## Project Context\n\nThis repo does a lot of different things with weather data modification.\n\n## Code Style and Structure\n\n```text\ncgi-bin/ # One line front end references to pylib application code\nconfig/ # PHP configuration\ndata/ # Stuff used by PHP and python scripts\ndeployment/ # Stuff associated with deployment of this code\ndocs/ # centralized docs\nhtdocs/ # The apache webroot with mostly PHP stuff and python pointers\n # to things within pylib\n├── agclimate/ # ISU Soil Moisture Network\ninclude/ # PHP include scripts\npylib/ # python library stuff used within this repo only\nscripts/ # python cron jobs that process data, these are not web accessible\nsrc/iemjs/ # Centralized `iemjs` npm ES package, used by this repo and friends.\n # This is where new utility functions should be added.\ntests/ # Python testing code mostly for pylib and for integration tests\n```\n\n## Code Quality and Technical Debt\n\n- Avoid creating many small, single-purpose functions when a more general \n utility would serve multiple modules.\n- When fixing the same type of complexity issue across multiple files, \n step back and create a shared solution.\n- If you find yourself writing similar JSDoc comments across different modules,\n that's a signal the functionality should be abstracted.\n- Consider the maintenance burden: 10 lines of shared utility code is better\n than 50 lines of duplicated helper functions across 5 modules.\n\n## Decision Making Process\n\n- When approaching complexity refactoring:\n 1. First, semantic_search for similar patterns in other modules\n 2. Check existing utilities in `/src/iemjs/` and `/htdocs/js/iemjs/`\n 3. If pattern exists 2+ times, create shared utility\n 4. If truly module-specific, create focused helper functions\n 5. Document the decision rationale in comments\n" }, { "path": ".github/dependabot.yml", "content": "version: 2\nupdates:\n - package-ecosystem: \"github-actions\"\n directory: \"/\"\n schedule:\n interval: \"monthly\"\n labels:\n - \"Bot\"\n groups:\n github-actions:\n patterns:\n - '*'\n - package-ecosystem: \"npm\"\n directory: \"/\"\n schedule:\n interval: \"monthly\"\n labels:\n - \"Bot\"\n groups:\n npm:\n patterns:\n - '*'\n" }, { "path": ".github/ms_environment.yml", "content": "dependencies:\n - mapserver\n" }, { "path": ".github/setupdata.sh", "content": "# Ensure we error out\nset -x -e\n# Paths are setup in setuppaths.sh\npython .github/ci_db_testdata.py\npython scripts/dbutil/sync_stations.py\npython scripts/mrms/init_daily_mrms.py --year=2024\npython scripts/mrms/init_mrms_dailyc.py\npython scripts/prism/init_daily.py --year=2024\npython scripts/iemre/init_daily.py --year=2022 --domain=conus\npython scripts/iemre/init_daily.py --year=2023 --ci\npython scripts/iemre/init_daily.py --year=2024 --domain=conus\npython scripts/iemre/init_daily.py --year=2024 --domain=europe\npython scripts/iemre/init_daily.py --year=2024 --domain=sa\npython scripts/iemre/init_hourly.py --year=2023 --ci\npython scripts/iemre/init_dailyc.py\npython scripts/iemre/init_stage4_hourly.py --year=2024 --ci\npython scripts/iemre/init_stage4_daily.py --year=2024 --ci\npython scripts/iemre/init_daily_ifc.py --year=2024 --ci\n\ncurl -o /mesonet/share/features/2022/03/220325.png \\\nhttps://mesonet.agron.iastate.edu/onsite/features/2022/03/220325.png\n\ncurl -o /mesonet/ldmdata/gis/images/4326/USCOMP/n0q_0.json \\\nhttps://mesonet.agron.iastate.edu/data/gis/images/4326/USCOMP/n0q_0.json\ncurl -o /mesonet/ldmdata/gis/images/4326/USCOMP/n0r_0.json \\\nhttps://mesonet.agron.iastate.edu/data/gis/images/4326/USCOMP/n0r_0.json\n\ncurl -o /mesonet/share/pickup/yieldfx/ames.met \\\nhttps://mesonet.agron.iastate.edu/pickup/yieldfx/ames.met\n\ncurl -o /mesonet/data/iemre/ndfd_current.nc \\\nhttps://mesonet.agron.iastate.edu/onsite/iemre/ndfd_current.nc\n\ncurl -o /mesonet/data/iemre/gfs_current.nc \\\nhttps://mesonet.agron.iastate.edu/onsite/iemre/gfs_current.nc\n\ncurl -o /opt/iem/htdocs/vtec/assets.json \\\nhttps://mesonet.agron.iastate.edu/vtec/assets.json\n\n# A corrupted RTMA file\nmkdir -p /mesonet/ARCHIVE/data/2024/01/01/model/rtma/00\necho > /mesonet/ARCHIVE/data/2024/01/01/model/rtma/00/rtma2p5_ru.t0000z.2dvaranl_ndfd.grb2\n\n# A corrupted HRRR refd file\nmkdir -p /mesonet/ARCHIVE/data/2024/01/01/model/hrrr/00\necho > /mesonet/ARCHIVE/data/2024/01/01/model/hrrr/00/hrrr.t00z.refd.grib2\n" }, { "path": ".github/setuppaths.sh", "content": "set -e -x\n# Only path setups here, adding data handled in setupdata.sh\nsudo ln -s `pwd` /opt/iem\n# Kind of hacky, but that is what daryl does\n# needed by all kinds of things\n# /mesonet was setup in ci_tooling\nmkdir -p /mesonet/ldmdata/gis/images/4326/USCOMP\nmkdir -p /mesonet/share/pickup/yieldfx\nmkdir -p /mesonet/share/features/2022/03\n\nmkdir _webtmp\nsudo ln -s `pwd`/_webtmp /var/webtmp\n" }, { "path": ".github/workflows/build.yml", "content": "name: IEM CI\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\n\njobs:\n build:\n defaults:\n run:\n # Ensures environment gets sourced right\n shell: bash -l -e {0}\n name: Python (${{ matrix.PYTHON_VERSION }}) Data (${{ matrix.WITH_TEST_DATA }}) Test Web (${{ matrix.TEST_WEB }})\n runs-on: ubuntu-latest\n strategy:\n matrix:\n PYTHON_VERSION: [\"3.14\"]\n WITH_TEST_DATA: [\"test_data\", \"no_test_data\"]\n TEST_WEB: [\"YES\", \"NO\"]\n exclude:\n # This combination is not all that useful\n - PYTHON_VERSION: \"3.14\"\n TEST_WEB: \"NO\"\n WITH_TEST_DATA: \"no_test_data\"\n env:\n PYTHON_VERSION: ${{ matrix.PYTHON_VERSION }}\n WITH_TEST_DATA: ${{ matrix.WITH_TEST_DATA }}\n TEST_WEB: ${{ matrix.TEST_WEB }}\n steps:\n - uses: actions/checkout@v6\n\n # Lots of daryl's codes use aliases defined in /etc/hosts\n - name: Add /etc/hosts entries\n run: |\n cat .github/workflows/etchosts.txt | sudo tee -a /etc/hosts\n\n # Required for all matrix jobs\n - name: Create Docker Network\n run: docker network create iem_network\n\n # Required for all matrix jobs\n - name: Run IEM Database Container label:${{ env.WITH_TEST_DATA }}\n run: |\n docker run -d --name iem_database --network iem_network -p 5432:5432 ghcr.io/akrherz/iem_database:${{ env.WITH_TEST_DATA }}\n n=0\n until docker exec iem_database pg_isready -h localhost; do\n n=$((n+1))\n if [ $n -ge 10 ]; then\n echo \"iem_database did not become ready in time\"\n docker logs iem_database\n exit 1\n fi\n sleep 6\n done\n\n # Required for all matrix jobs\n - name: Run IEM Web Services Container\n run: |\n docker run -d --name iem_web_services --network iem_network -p 8080:8000 -e IEMWS_DBHOST=iem_database -e IEMWS_DBUSER=mesonet ghcr.io/akrherz/iem-web-services:latest\n n=0\n # Test something that does a db query\n until curl -sf http://localhost:8080/networks.geojson; do\n n=$((n+1))\n if [ $n -ge 10 ]; then\n echo \"iem-web-services did not become ready in time\"\n docker logs iem_web_services\n exit 1\n fi\n sleep 1\n done\n\n # Required for all matrix jobs\n - name: Run Memcached container\n run: |\n docker run -d --name iem_memcached -p 11211:11211 memcached:1.6.9\n\n - uses: akrherz/ci_tooling/actions/iemwebfarm@main\n with:\n environment-file: environment.yml\n python-version: ${{ matrix.PYTHON_VERSION }}\n environment-name: prod\n\n # Copy repo's default settings into the real position\n - name: Copy PHP Setting Defaults\n run: |\n cp config/settings.inc.php.in config/settings.inc.php\n\n # All jobs need to have directories laid out\n - name: Setup Directory Paths\n run: sh .github/setuppaths.sh\n\n # Only one job needs to load the test data\n - name: Setup IEM Data\n if: ${{ matrix.WITH_TEST_DATA == 'test_data' }}\n run: sh .github/setupdata.sh\n\n - name: IEM TileCache Backend\n if: ${{ matrix.TEST_WEB == 'YES' }}\n run: |\n nohup bash deployment/start_tc_wsgi.sh > /tmp/iem-tilecache.log 2>&1 &\n echo $! > /tmp/iem-tilecache.pid\n\n n=0\n until curl -sS -o /dev/null http://127.0.0.1:9081/; do\n n=$((n+1))\n if [ $n -ge 30 ]; then\n echo \"iem-tilecache did not become ready in time\"\n cat /tmp/iem-tilecache.log\n exit 1\n fi\n sleep 1\n done\n\n\n - name: Configure Webfarm Server\n if: ${{ matrix.TEST_WEB == 'YES' }}\n run: |\n echo '' | sudo tee /etc/apache2/sites-enabled/iem.conf > /dev/null\n cat config/mesonet.inc | sudo tee -a /etc/apache2/sites-enabled/iem.conf > /dev/null\n echo '' | sudo tee -a /etc/apache2/sites-enabled/iem.conf > /dev/null\n\n # ci_tooling places a mod_wsgi conf with startup disabled, we enable it\n sudo sed -i 's/# WSGIImportScript/WSGIImportScript/' /etc/apache2/sites-enabled/mod_wsgi.conf\n\n # restart apache\n sudo service apache2 restart\n sudo systemctl status apache2.service -l\n\n - name: Run IEM Production checks\n if: ${{ matrix.TEST_WEB == 'YES' }}\n run: |\n git clone --depth 1 https://github.com/akrherz/iem-production-checks.git .ipc\n SERVICE=http://iem.local pytest -n 4 .ipc/tests/test_*.py\n\n - name: Run mod_wsgi smoke test\n if: ${{ matrix.TEST_WEB == 'YES' }}\n run: pytest -n 4 tests/test_mod_wsgi.py\n\n - name: Test PHP webscripts\n if: ${{ matrix.TEST_WEB == 'YES' }}\n run: pytest -n 4 tests/test_php.py\n\n # - name: Setup upterm session\n # if: ${{ matrix.TEST_WEB == 'NO' && matrix.WITH_TEST_DATA == 'test_data' }}\n # uses: owenthereal/action-upterm@v1\n # with:\n # limit-access-to-actor: true\n\n - name: Run IEMWeb Python Check\n if: ${{ matrix.TEST_WEB == 'NO' && matrix.WITH_TEST_DATA == 'test_data' }}\n run: |\n export PYTHONPATH=/opt/iem/pylib\n python -m pytest --mpl --cov=iemweb --durations=10 -n 4 -W error::FutureWarning tests/iemweb/\n python -m coverage xml\n\n - name: Upload to Codecov\n if: ${{ matrix.TEST_WEB == 'NO' && matrix.WITH_TEST_DATA == 'test_data' }}\n uses: codecov/codecov-action@v6\n with:\n files: coverage.xml\n fail_ci_if_error: true\n\n - name: View Apache Logs\n if: ${{ failure() && matrix.TEST_WEB == 'YES' }}\n run: |\n sudo systemctl status apache2 -l\n sudo cat /var/log/apache2/error.log\n\n - name: View TileCache Logs\n if: ${{ failure() && matrix.TEST_WEB == 'YES' }}\n run: |\n if [ -f /tmp/iem-tilecache.pid ]; then\n ps -fp \"$(cat /tmp/iem-tilecache.pid)\" || true\n fi\n if [ -f /tmp/iem-tilecache.log ]; then\n cat /tmp/iem-tilecache.log\n fi\n\n - name: View PHP-FPM Logs\n if: ${{ failure() && matrix.TEST_WEB == 'YES' }}\n run: |\n sudo cat /var/log/php*-fpm.log\n" }, { "path": ".github/workflows/codeql.yml", "content": "name: \"CodeQL\"\n\non:\n push:\n branches: [ \"main\" ]\n pull_request:\n branches: [ \"main\" ]\n schedule:\n - cron: \"22 12 * * 1\"\n\njobs:\n analyze:\n name: Analyze (${{ matrix.language }})\n runs-on: ubuntu-latest\n timeout-minutes: 360\n permissions:\n actions: read\n contents: read\n security-events: write\n\n strategy:\n fail-fast: false\n matrix:\n language: [ javascript, python ]\n\n steps:\n - name: Checkout repository\n uses: actions/checkout@v6\n\n - name: Initialize CodeQL\n uses: github/codeql-action/init@v4\n with:\n languages: ${{ matrix.language }}\n queries: +security-and-quality\n\n - name: Autobuild\n uses: github/codeql-action/autobuild@v4\n\n - name: Perform CodeQL Analysis\n uses: github/codeql-action/analyze@v4\n with:\n category: \"/language:${{ matrix.language }}\"\n upload: true\n" }, { "path": ".github/workflows/etchosts.txt", "content": "127.0.0.1 iem.local\n127.0.0.1 iemdb.local\n127.0.0.1 iemdb-hads.local\n127.0.0.1 iemdb-mos.local\n127.0.0.1 iemdb-idep.local\n127.0.0.1 iemdb-dep_china.local\n127.0.0.1 iemdb-dep_europe.local\n127.0.0.1 iemdb-dep_sa.local\n127.0.0.1 iemdb-iembot.local\n127.0.0.1 iemdb-iemre.local\n127.0.0.1 iemdb-iemre_china.local\n127.0.0.1 iemdb-iemre_europe.local\n127.0.0.1 iemdb-iemre_sa.local\n127.0.0.1 iemdb-postgis.local\n127.0.0.1 iemdb-mesosite.local\n127.0.0.1 iemdb-afos.local\n127.0.0.1 iemdb-asos.local\n127.0.0.1 iemdb-hml.local\n127.0.0.1 iemdb-id3b.local\n127.0.0.1 iemdb-nldn.local\n127.0.0.1 iemdb-snet.local\n127.0.0.1 iemdb-mos.local\n127.0.0.1 iemdb-raob.local\n127.0.0.1 iemdb-rwis.local\n127.0.0.1 iemdb-squaw.local\n127.0.0.1 iemdb-awos.local\n127.0.0.1 iemdb-iem.local\n127.0.0.1 iemdb-other.local\n127.0.0.1 iemdb-radar.local\n127.0.0.1 iemdb-scan.local\n127.0.0.1 iemdb-wepp.local\n127.0.0.1 iemdb-coop.local\n127.0.0.1 iemdb-isuag.local\n127.0.0.1 iemdb-portfolio.local\n127.0.0.1 iemdb-smos.local\n127.0.0.1 iemdb-talltowers.local\n127.0.0.1 iemdb-td.local\n127.0.0.1 iemdb-uscrn.local\n127.0.0.1 iemdb-sustainablecorn.local\n127.0.0.1 iemdb-asos1min.local\n127.0.0.1 iem-memcached3\n127.0.0.1 iem-memcached\n127.0.0.1 iem-web-services\n127.0.0.1 iem-web-services.agron.iastate.edu\n" }, { "path": ".github/workflows/mapserver.yml", "content": "name: Test Mapserver Files\non:\n pull_request:\n branches:\n - main\n push:\n branches:\n - main\njobs:\n build-linux:\n name: Test Mapserver Files\n defaults:\n run:\n # Ensures environment gets sourced right\n shell: bash -l -e {0}\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v6\n\n - name: Add /etc/hosts entries\n run: |\n cat .github/workflows/etchosts.txt | sudo tee -a /etc/hosts\n\n # setup conda-forge with micromamba\n - name: Setup Python\n uses: mamba-org/setup-micromamba@v3\n with:\n environment-file: .github/ms_environment.yml\n condarc: |\n channels:\n - conda-forge\n create-args: >-\n python=3.14\n environment-name: prod\n cache-environment: true\n\n - name: Run IEM Database container\n run: |\n docker run -d --name iem_database -p 5432:5432 ghcr.io/akrherz/iem_database:test_data\n until docker exec iem_database pg_isready -h localhost; do\n sleep 6\n done\n\n - name: Setup CI from ci-tooling\n run: |\n set -e\n sudo ln -s `pwd` /opt/iem\n sudo mkdir -p /mesonet/ldmdata/\n wget -q http://mesonet.agron.iastate.edu/pickup/ci_msinc.tgz\n sudo tar -C / -xzf ci_msinc.tgz\n\n - name: Run map2img\n run: |\n set -e\n bash tests/run_mapserver.sh\n" }, { "path": ".github/workflows/publish-iemjs.yml", "content": "name: Publish iemjs to npm\n\non:\n push:\n tags:\n - 'iemjs-v*' # Triggers on tags like iemjs-v1.0.0, iemjs-v1.2.3, etc.\n\njobs:\n publish:\n runs-on: ubuntu-latest\n \n steps:\n - name: Checkout code\n uses: actions/checkout@v6\n \n - name: Setup Node.js\n uses: actions/setup-node@v6\n with:\n node-version: '18'\n registry-url: 'https://registry.npmjs.org'\n \n - name: Extract version from tag\n id: extract_version\n run: |\n # Extract version from tag (iemjs-v1.0.0 -> 1.0.0)\n VERSION=${GITHUB_REF#refs/tags/iemjs-v}\n echo \"version=$VERSION\" >> $GITHUB_OUTPUT\n echo \"Publishing version: $VERSION\"\n \n - name: Validate package\n run: |\n cd src/iemjs\n npm pack --dry-run\n \n - name: Run basic syntax check\n run: |\n cd src/iemjs\n node -c src/domUtils.js\n node -c src/iemdata.js\n node -c src/index.js\n \n - name: Publish to npm\n run: |\n cd src/iemjs\n npm publish --access public\n env:\n NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}\n \n - name: Extract changelog for this version\n id: changelog\n run: |\n cd src/iemjs\n if [ -f \"CHANGELOG.md\" ]; then\n # Extract changelog section for this version\n VERSION=${{ steps.extract_version.outputs.version }}\n CHANGELOG_SECTION=$(sed -n \"/## \\[$VERSION\\]/,/## \\[/p\" CHANGELOG.md | head -n -1)\n if [ -z \"$CHANGELOG_SECTION\" ]; then\n CHANGELOG_SECTION=\"See CHANGELOG.md for details.\"\n fi\n # Save to output, escaping newlines\n echo \"content<> $GITHUB_OUTPUT\n echo \"$CHANGELOG_SECTION\" >> $GITHUB_OUTPUT\n echo \"EOF\" >> $GITHUB_OUTPUT\n else\n echo \"content=No changelog available.\" >> $GITHUB_OUTPUT\n fi\n\n - name: Create GitHub Release\n uses: actions/create-release@v1\n env:\n GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n with:\n tag_name: ${{ github.ref }}\n release_name: iemjs v${{ steps.extract_version.outputs.version }}\n body: |\n ## iemjs v${{ steps.extract_version.outputs.version }}\n \n Published to npm: https://www.npmjs.com/package/iemjs\n \n ### Changes\n ${{ steps.changelog.outputs.content }}\n \n ### Installation\n ```bash\n npm install iemjs@${{ steps.extract_version.outputs.version }}\n ```\n draft: false\n prerelease: false\n" }, { "path": ".github/workflows/test-iemjs.yml", "content": "name: Test iemjs package\n\non:\n push:\n branches: [ main, master ]\n paths:\n - 'src/iemjs/**'\n - '.github/workflows/test-iemjs.yml'\n pull_request:\n branches: [ main, master ]\n paths:\n - 'src/iemjs/**'\n - '.github/workflows/test-iemjs.yml'\n\njobs:\n test:\n runs-on: ubuntu-latest\n \n strategy:\n matrix:\n node-version: [16, 18, 20]\n \n steps:\n - name: Checkout code\n uses: actions/checkout@v6\n \n - name: Setup Node.js ${{ matrix.node-version }}\n uses: actions/setup-node@v6\n with:\n node-version: ${{ matrix.node-version }}\n \n - name: Run iemjs tests\n run: |\n cd src/iemjs\n npm test\n \n - name: Test npm pack (dry run)\n run: |\n cd src/iemjs\n npm pack --dry-run\n echo \"✅ npm pack simulation successful\"\n \n - name: Run ESLint on iemjs files\n run: |\n # Check ESLint against our iemjs files\n npx eslint src/iemjs/src/*.js --format=compact || echo \"⚠️ ESLint warnings found (not failing build)\"\n \n # Test on different operating systems\n cross-platform:\n runs-on: ${{ matrix.os }}\n strategy:\n matrix:\n os: [ubuntu-latest, windows-latest, macos-latest]\n node-version: [18]\n \n steps:\n - name: Checkout code\n uses: actions/checkout@v6\n \n - name: Setup Node.js\n uses: actions/setup-node@v6\n with:\n node-version: ${{ matrix.node-version }}\n \n - name: Test basic functionality\n run: |\n cd src/iemjs\n npm run test:syntax\n shell: bash\n" }, { "path": ".gitignore", "content": "/.settings\n/.buildpath\n/.project\n/.pydevproject\n**/fe.py\n/.vscode\n**/gemglb.nts\n**/last.nts\n/config/settings.inc.php\nnode_modules\n**/.coverage\ncoverage.xml\n# Stuff built by iemvtec\nhtdocs/vtec/assets*\nhtdocs/vtec/legends\nhtdocs/vtec/_index_content.html\n" }, { "path": ".pre-commit-config.yaml", "content": "ci:\n autoupdate_schedule: quarterly\nrepos:\n - repo: https://github.com/pre-commit/mirrors-eslint\n rev: 'v10.3.0'\n hooks:\n - id: eslint\n additional_dependencies:\n - \"eslint\"\n - \"@eslint/js\"\n - \"globals\"\n files: \\.js?$\n types: [file]\n args:\n - --fix\n language_version: 'system' # Use system Node.js which should support ES modules\n\n - repo: https://github.com/astral-sh/ruff-pre-commit\n rev: \"v0.15.13\"\n hooks:\n - id: ruff-check\n args: [--fix, --exit-non-zero-on-fix]\n - id: ruff-format\n\n" }, { "path": ".prettierrc", "content": "{\n \"semi\": true,\n \"trailingComma\": \"es5\",\n \"singleQuote\": true,\n \"printWidth\": 100,\n \"tabWidth\": 4,\n \"useTabs\": false,\n \"bracketSpacing\": true,\n \"arrowParens\": \"avoid\",\n \"endOfLine\": \"lf\",\n \"overrides\": [\n {\n \"files\": \"*.php\",\n \"options\": {\n \"parser\": \"php\",\n \"printWidth\": 120\n }\n },\n {\n \"files\": \"*.html\",\n \"options\": {\n \"printWidth\": 120,\n \"htmlWhitespaceSensitivity\": \"css\"\n }\n }\n ]\n}\n" }, { "path": "LICENSE", "content": "Copyright (c) 2005 Iowa State University\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\nNONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE\nLIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION\nOF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION\nWITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n" }, { "path": "README.md", "content": "# Iowa Environmental Mesonet\n\n If using this code causes your server to have kittens, it is your own fault.\n\nThis monolith drives much of the ingest, processing, product generation, and\nweb presence of the [IEM](https://mesonet.agron.iastate.edu). Hopefully it can\nbe found useful for others to at least look at to see how some of the magic happens.\n\nLimited integration testing is done on Github Actions: [![Build Status](https://github.com/akrherz/iem/workflows/IEM%20CI/badge.svg)](https://github.com/akrherz/iem)\n[![DeepSource](https://app.deepsource.com/gh/akrherz/iem.svg/?label=active+issues&show_trend=true&token=WvZunVBligt7HgkO2JGg5uMe)](https://app.deepsource.com/gh/akrherz/iem/)\n[![codecov](https://codecov.io/gh/akrherz/iem/graph/badge.svg?token=zKXnLZdxIk)](https://codecov.io/gh/akrherz/iem)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/akrherz/iem/main.svg)](https://results.pre-commit.ci/latest/github/akrherz/iem/main)\n\nSee [@akrherz Github Profile](https://github.com/akrherz) for an overview of\nrepositories found here and how the fit together.\n\n## Requirements\n\n - Python 3.10+ (CI tests with 3.14)\n - PHP 8\n\n## Deployment Notes\n\n- Vendor static assets used by web pages are documented in\n [docs/deployment/vendor-static-assets.md](docs/deployment/vendor-static-assets.md).\n" }, { "path": "cgi-bin/afos/retrieve.py", "content": "\"\"\"Implementation at https://github.com/akrherz/iem/blob/main/pylib/iemweb/afos/retrieve.py\nUser documentation available at https://mesonet.agron.iastate.edu/cgi-bin/afos/retrieve.py?help\"\"\"\n\nfrom iemweb.afos.retrieve import application\n\n__all__ = [\"application\"]\n" }, { "path": "cgi-bin/climate/orc.py", "content": "\"\"\"Implementation at https://github.com/akrherz/iem/blob/main/pylib/iemweb/climate/orc.py\nUser documentation available at https://mesonet.agron.iastate.edu/cgi-bin/climate/orc.py?help\"\"\"\n\nfrom iemweb.climate.orc import application\n\n__all__ = [\"application\"]\n" }, { "path": "cgi-bin/geocoder.py", "content": "\"\"\"Implementation at https://github.com/akrherz/iem/blob/main/pylib/iemweb/geocoder.py\nUser documentation available at https://mesonet.agron.iastate.edu/cgi-bin/geocoder.py?help\"\"\"\n\nfrom iemweb.geocoder import application\n\n__all__ = [\"application\"]\n" }, { "path": "cgi-bin/index.php", "content": "\n # Use a daily deadicated log file, this avoids server reloads every day\n # which are not much fun when servicing a 1,000 req/sec\n CustomLog \"|/usr/sbin/rotatelogs -l ${IEMWEBFARM_LOGROOT}/iemssl-%Y%m%d 86400\" combined\n\n SSLEngine on\n # using ISU Certs due to cross-signing ugliness with LE and ancient kiosks\n # https://mesonet.agron.iastate.edu/onsite/news.phtml?id=1423\n # SSLCertificateChainFile was removed in Apache 2.4.8\n # Termination happening at the F5, so the cert here is simple\n # Note that I manually reorder the chain to put the ISU cert first\n SSLCertificateFile /etc/pki/tls/iem.cert_and_chain\n SSLCertificateKeyFile /etc/pki/tls/iem.key\n\n Include conf.d/mesonet.inc\n\n\n" }, { "path": "config/00iem.conf", "content": "\n # Use a daily deadicated log file, this avoids server reloads every day\n # which are not much fun when servicing a 1,000 req/sec\n CustomLog \"|/usr/sbin/rotatelogs -l ${IEMWEBFARM_LOGROOT}/iem-%Y%m%d 86400\" combined\n\n Include conf.d/mesonet.inc\n\n\n" }, { "path": "config/backend.conf", "content": "# It turns out that backending everything with one mapserv.fcgi instance\n# was not ideal as having one slow node would quickly back everything up\n# as other nodes could then not reach this backend. So instead, lets keep\n# things isolated and make the nodes backend themselves\n\n ServerName iem-backend.local\n DocumentRoot /opt/iem/htdocs\n # Don't log any accesses\n CustomLog /dev/null common\n\n # Point to system-installed mapserv binary (from conda env)\n ScriptAlias /cgi-bin/mapserv/mapserv.fcgi ${IEMWEBFARM_MAPSERV}\n ScriptAlias /cgi-bin/mapserv/mapserv ${IEMWEBFARM_MAPSERV}\n \n SetHandler fcgid-script\n Options +ExecCGI\n \n\n # Only need cgi-bin, note we have AllowOverride None, which saves a bit\n # in performance as apache does not need to look for .htaccess with each\n # request\n ScriptAlias /cgi-bin/ \"/opt/iem/cgi-bin/\"\n \n AllowOverride None\n Order allow,deny\n Allow from all\n \n\n\n" }, { "path": "config/iem-archive.conf", "content": "# backend for /archive/data requests from webfarm\n\n ServerName iem-archive.agron.iastate.edu\n ServerAlias iem-archive.local\n DocumentRoot /var/www/html\n # Don't log any accesses\n CustomLog /dev/null common\n\n Alias /archive/data /mesonet/ARCHIVE/data\n \n Options Indexes FollowSymLinks\n IndexOptions NameWidth=*\n AllowOverride None\n Require all granted\n \n\n" }, { "path": "config/mesonet-longterm-vhost.conf", "content": "# apache vhost file for mesonet-longterm.agron.iastate.edu\n# This now resides on anticyclone\n\n\n ServerName mesonet-longterm.agron.iastate.edu\n ServerAlias mesonet-longterm.local\n\n Alias \"/archive/nexrad\" \"/mnt/mesonet2/longterm/nexrad3_iowa\" \n \n # Need FollowSymLinks for mod_rewrite to work!\n Options Indexes FollowSymLinks \n Order allow,deny\n Allow from all\n \n \n Alias \"/archive/gempak\" \"/mnt/mesonet2/longterm/gempak\" \n \n # Need FollowSymLinks for mod_rewrite to work!\n Options Indexes\n Order allow,deny\n Allow from all\n \n \n Alias \"/archive/raw\" \"/mnt/mesonet2/longterm/raw\" \n \n # Need FollowSymLinks for mod_rewrite to work!\n Options Indexes\n Order allow,deny\n Allow from all\n \n \n" }, { "path": "config/mesonet.inc", "content": "# Apache vhost configuration for IEM\n\n# mod_wsgi is configured from https://github.com/akrherz/iemwebfarm\n# DirectoryIndex index.py\n# WSGIDaemonProcess iemwsgi_ap processes=24 threads=1 display-name=%{GROUP} maximum-requests=100\n\nInclude /opt/iemwebfarm/config/vhost_common.conf\n\nServerName mesonet.agron.iastate.edu\nServerAlias www.mesonet.agron.iastate.edu\nServerAlias mesonet1.agron.iastate.edu\nServerAlias mesonet2.agron.iastate.edu\nServerAlias mesonet3.agron.iastate.edu\nServerAlias iem.local\nServerAdmin akrherz@iastate.edu\nDocumentRoot /opt/iem/htdocs\n\n# http://enable-cors.org/server_apache.html\nHeader set Access-Control-Allow-Origin \"*\"\n\n# RewriteEngine is not enabled for vhosts by default\nRewriteEngine On\n# Useful for debugging\n# LogLevel alert rewrite:trace3\n\nRedirect permanent /archive/nexrad https://mesonet-longterm.agron.iastate.edu/archive/nexrad\nRedirect permanent /archive/gempak https://mesonet-longterm.agron.iastate.edu/archive/gempak\nRedirect permanent /archive/raw https://mesonet-longterm.agron.iastate.edu/archive/raw\nRedirect permanent /data/nexrd2/raw https://nomads.ncep.noaa.gov/pub/data/nccf/radar/nexrad_level2\n\n\n # Need FollowSymLinks for mod_rewrite to work!\n Options Indexes FollowSymLinks\n AllowOverride None\n Require all granted\n\n # Default handler for python scripts\n WSGIProcessGroup iemwsgi_ap\n # Allow wsgi scripts to emit 404s that can come back to the handler.\n # FIXME this causes all error handling to come back, which is a problem\n # https://github.com/GrahamDumpleton/mod_wsgi/issues/825\n # WSGIErrorOverride On\n AddHandler wsgi-script .py\n Options +ExecCGI\n\n\n\n Options Indexes FollowSymLinks\n AllowOverride None\n Require all granted\n\n\n\n Options Indexes FollowSymLinks\n AllowOverride None\n Require all granted\n\n\n\n Options Indexes FollowSymLinks\n AllowOverride None\n Require all granted\n\n\n# Point to system-installed mapserv binary (from conda env)\nScriptAlias /cgi-bin/mapserv/mapserv.fcgi ${IEMWEBFARM_MAPSERV}\nScriptAlias /cgi-bin/mapserv/mapserv ${IEMWEBFARM_MAPSERV}\n\n SetHandler fcgid-script\n Options +ExecCGI\n\n\nAlias /cgi-bin/ \"/opt/iem/cgi-bin/\"\n\n AllowOverride None\n Options FollowSymLinks\n Require all granted\n\n # Default handler for python scripts\n WSGIProcessGroup iemwsgi_ap\n AddHandler wsgi-script .py\n AddHandler cgi-script .cgi\n Options +ExecCGI\n\n\n\n # Prevent caching of index.html\n Header set Cache-Control \"no-cache, no-store, must-revalidate\"\n Header set Pragma \"no-cache\"\n Header set Expires \"0\"\n\n\nAlias /usage \"/mesonet/share/usage/mesonet.agron.iastate.edu/\"\n\n Options Indexes MultiViews\n AllowOverride None\n Require all granted\n\n\nAlias /agclimate/usage \"/mesonet/share/usage/agclimate/\"\n\n Options Indexes MultiViews\n AllowOverride None\n Require all granted\n\n\n\n RewriteRule wfo.phtml index.php\n\n\nAlias /data \"/mesonet/ldmdata\"\n\n Options Indexes MultiViews FollowSymLinks\n AllowOverride None\n Require all granted\n Redirect permanent /data/gis/images/unproj /data/gis/images/4326\n Redirect permanent /data/gis/shape/unproj /data/gis/shape/4326\n\n\nAlias \"/onsite/lapses\" \"/mesonet/share/lapses\"\nAlias \"/onsite/windrose\" \"/mesonet/share/windrose\"\nAlias \"/onsite/iemre\" \"/mesonet/data/iemre\"\nAlias \"/onsite/iemre_china\" \"/mesonet/data/iemre_china\"\nAlias \"/onsite/iemre_europe\" \"/mesonet/data/iemre_europe\"\nAlias \"/onsite/iemre_sa\" \"/mesonet/data/iemre_sa\"\nAlias \"/onsite/mrms\" \"/mesonet/data/mrms\"\nAlias \"/onsite/prism\" \"/mesonet/data/prism\"\nAlias \"/onsite/stage4\" \"/mesonet/data/stage4\"\nAlias \"/onsite/era5land\" \"/mesonet/data/era5\"\nAlias \"/present\" \"/mesonet/share/present\"\nAlias \"/cases\" \"/mesonet/share/cases\"\nAlias \"/GIS/data/gis\" \"/mesonet/data/gis\"\nAlias \"/archive/awos\" \"/mesonet/ARCHIVE/awos\"\nAlias \"/archive/raw\" \"/mesonet/ARCHIVE/raw\"\n# 7 Mar 2026 removeme at some point\nAlias \"/archive/rer\" \"/mesonet/ARCHIVE/rer\"\nAlias \"/m/img\" \"/mesonet/share/iemmaps\"\nAlias \"/sites/pics\" \"/mesonet/share/pics\"\nAlias \"/climodat/reports\" \"/mesonet/share/climodat/reports\"\nAlias \"/climodat/ks\" \"/mesonet/share/climodat/ks\"\n\nAlias \"/pickup\" \"/mesonet/share/pickup\"\n\n AllowOverride None\n Options FollowSymLinks Indexes MultiViews\n Require all granted\n\n\nAlias /tmp /var/webtmp\n\n AllowOverride None\n\n\n\n RewriteRule n0r.cgi /cgi-bin/mapserv/mapserv.fcgi?map=/opt/iem/data/wms/nexrad/n0r.map& [QSA,L]\n RewriteRule n0q.cgi /cgi-bin/mapserv/mapserv.fcgi?map=/opt/iem/data/wms/nexrad/n0q.map& [QSA,L]\n\n\n\n RewriteRule wwa.cgi /cgi-bin/mapserv/mapserv.fcgi?map=/opt/iem/data/wms/us/wwa.map& [QSA,L]\n\n\n\n # The backend doesn't really care about the hostname attm\n ProxyPreserveHost Off\n RequestHeader set \"Host\" \"iem.local\"\n # Attempt to reduce random proxy noise\n ProxySet connectiontimeout=5 timeout=55 retry=0 disablereuse=On\n\n\nProxyPass /c http://127.0.0.1:9081/c\nProxyPass /cache http://127.0.0.1:9081/cache\n\n\n RewriteRule vtec_(.*).png radmap.php?layers[]=places&layers[]=nexrad&layers[]=cities&layers[]=interstates&layers[]=uscounties&vtec=$1&width=797&height=400\n\n\n\n # Lots of old links out there to bad URIs\n RewriteRule index\\.(html|pl|php)$ /agclimate/ [R]\n\n Redirect /agclimate/daily-pics https://mesonet.agron.iastate.edu/agclimate/daily_pics\n Redirect /agclimate/daily_pics https://mesonet.agron.iastate.edu/data/agclimate\n Redirect /agclimate/info.txt https://mesonet.agron.iastate.edu/agclimate/info.phtml\n\n #\n RewriteRule smplot/([0-9]{1,12})/(.*).png$ isusm.py?t=$1&v=$2\n RewriteRule isusm.csv nmp_csv.py\n\n\n\n RewriteRule datasets/([a-z_]+).html$ datasets.php?id=$1 [QSA]\n RewriteRule datasets/?$ datasets.php [QSA]\n\n\n\n # As a reminder, we are going via this route to take advantage of caching\n # port 8080 is nginx, which proxies to fastapi on 8000\n # Always immediately retry a connection\n # We wait up to 5 seconds to connect to the remote server\n # We wait up to 60 seconds for the remote server to respond\n ProxyPass \"http://iem-web-services.agron.iastate.edu:8080\" retry=0 connectiontimeout=5 timeout=60\n ProxyPassReverse \"http://iem-web-services.agron.iastate.edu:8080\"\n ProxyErrorOverride On 502 503 504\n ErrorDocument 502 /api/proxy_error_handler.py\n ErrorDocument 503 /api/proxy_error_handler.py\n ErrorDocument 504 /api/proxy_error_handler.py\n\n\n\n RequestHeader set \"Host\" \"iem-archive.local\"\n ProxyPreserveHost Off\n # Send 404s back here\n ProxyErrorOverride On\n # hacky to keep the paths matching in auto-index\n ProxyPass \"http://iem-archive.local/archive/data\"\n ProxyPassReverse \"http://iem-archive.local/archive/data\"\n\n\n\n RewriteRule pil_([A-Z0-9]{3,6}).png$ pil.php?pil=$1\n\n\n\n # Allow for python scripts to act has directories NETWORK/SID/TOOL\n RewriteRule ^([^/]{3,20})/([^/]{3,20})/([^/]+)$ $3.py\n\n\n\n\n RewriteRule ([0-9]{12})_([A-Z0-9\\s]+).png$ text2png.py?e=$1&pil=$2 [B,L]\n\n\n\n Require all granted\n WSGIProcessGroup iemwsgi_ap\n AddHandler wsgi-script .py\n\n# note the preceding directory config\nWSGIScriptAlias /geojson /opt/iem/pylib/iemweb/dispatch.py\nWSGIScriptAlias /json /opt/iem/pylib/iemweb/dispatch.py\nWSGIScriptAlias /search /opt/iem/pylib/iemweb/dispatch.py\nWSGIScriptAlias /agclimate/ames_precip.py /opt/iem/pylib/iemweb/dispatch.py\nWSGIScriptAlias /agclimate/isusm.py /opt/iem/pylib/iemweb/dispatch.py\nWSGIScriptAlias /agclimate/nmp_csv.py /opt/iem/pylib/iemweb/dispatch.py\n\n\n RewriteRule daily/([0-9\\-]+)/([0-9\\.\\-]+)/([0-9\\.\\-]+)/(json) daily.py?date=$1&lat=$2&lon=$3&format=$4\n RewriteRule hourly/([0-9\\-]+)/([0-9\\.\\-]+)/([0-9\\.\\-]+)/(json) hourly.py?date=$1&lat=$2&lon=$3&format=$4\n RewriteRule multiday/([0-9\\-]+)/([0-9\\-]+)/([0-9\\.]+)/([0-9\\.\\-]+)/(json) multiday.py?sdate=$1&edate=$2&lat=$3&lon=$4&format=$5\n RewriteRule cum/([0-9\\-]+)/([0-9\\-]+)/(shp) cum.py?date0=$1&date1=$2&format=$3&base=50&ceil=86\n RewriteRule cumcounty/([0-9]+)/([0-9\\-]+)/([0-9\\-]+)/([0-9]+)/([0-9]+)/(json) cum.py?county=$1&date0=$2&date1=$3&format=$6&base=$4&ceil=$5\n\n\n\n RewriteRule roadcond.kml roadcond.php\n RewriteRule roadcond_v2.kml roadcond.php?linewidth=6&maxtype=2\n\n\n\n RewriteRule days_since_([A-Z][A-Z])_([A-Z]).png /plotting/auto/plot/92/phenomena:$1::significance:$2::dpi:100.png\n\n\n\n RewriteRule tags/([^\\.]+)\\.html tags/index.php?tag=$1 [L]\n RewriteRule vote/(good|bad|abstain).json$ vote.py?vote=$1\n RewriteRule vote.json$ vote.py\n RewriteRule ^[0-9]{4}/[0-9]{2}/.*$ content.py [PT]\n\n\n\n RewriteRule live/(.*).jpg live.py?id=$1 [L]\n\n\n\n RewriteRule qrcode/([0-9]{1,12})/(.*).png$ gen_qrcode.py?p=$1&q=$2&fmt=png [B]\n RewriteRule plot/([0-9]{1,12})/(.*).(png|csv|txt|xlsx|js|geojson|pdf|svg|geotiff)$ autoplot.py?p=$1&q=$2&fmt=$3 [B]\n RewriteRule meta/([0-9]{1,12}).json meta.py?p=$1 [QSA,B]\n\n\n\n RewriteRule maxcsv/(.*).txt$ maxcsv.py?q=$1\n\n RewriteRule grx/iadot_trucks.txt grx/iadot_trucks.py\n # Legacy link was removed 5 Jan 2015\n RewriteRule grx/idot_trucks.php grx/iadot_trucks.py\n # PHP replaced by python 24 May 2020\n RewriteRule grx/time_mot_loc.(php|txt) grx/time_mot_loc.py [QSA]\n\n # .php was legacy stuff, lets not break old paths\n RewriteRule grx/l3attr.(php|txt) grx/l3attr.py [QSA]\n\n\n\n RewriteRule kcau.jpg kcau.php\n RewriteRule ktiv.jpg ktiv.php\n RewriteRule kwwl.jpg kwwl.php?v2\n\n\n\n RewriteRule ^event/.* index.py [L]\n RewriteRule ([^\\.]+)\\.html index.py?vtec=$1 [L]\n RewriteRule f/(.*)$ f.py [QSA]\n\n\n\n RewriteRule pl_(.*)_(.*).xml pl.py?network=$1&station=$2 [QSA]\n RewriteRule sd_(.*)_(.*).xml sd.py?network=$1&station=$2 [QSA]\n\n" }, { "path": "config/navbar.json", "content": "{\n \"tabs\": [\n {\n \"title\": \"Apps\",\n \"subs\": [\n {\n \"title\": \"Application Index\",\n \"url\": \"/apps.php\"\n },\n {\n \"title\": \"Automated Data Plotting\",\n \"url\": \"/plotting/auto/\"\n },\n {\n \"title\": \"Climodat\",\n \"url\": \"/climodat/\"\n },\n {\n \"title\": \"Climodat Monitor\",\n \"url\": \"/climodat/monitor.php\"\n },\n {\n \"title\": \"IEM Explorer\",\n \"url\": \"/explorer/\"\n },\n {\n \"title\": \"Hourly Precip\",\n \"url\": \"/rainfall/obhour.phtml\"\n },\n {\n \"title\": \"Interactive Radar\",\n \"url\": \"/GIS/apps/rview/warnings.phtml\"\n },\n {\n \"title\": \"Pest Maps + Forecasting\",\n \"url\": \"/topics/pests/\"\n },\n {\n \"title\": \"Sortable Currents\",\n \"url\": \"/my/current.phtml\"\n },\n {\n \"title\": \"Time Machine\",\n \"url\": \"/timemachine/\"\n },\n {\n \"title\": \"Wind Roses\",\n \"url\": \"/sites/windrose.phtml?station=AMW&network=IA_ASOS\"\n }\n ]\n },\n {\n \"title\": \"Areas\",\n \"subs\": [\n {\n \"title\": \"Ag Weather/Climate Info\",\n \"url\": \"/agweather/\"\n },\n {\n \"title\": \"Archive Mainpage\",\n \"url\": \"/archive/\"\n },\n {\n \"title\": \"Climate Mainpage\",\n \"url\": \"/climate/\"\n },\n {\n \"title\": \"Current Mainpage\",\n \"url\": \"/current/\"\n },\n {\n \"title\": \"Drought\",\n \"url\": \"/dm/\"\n },\n {\n \"title\": \"GIS Mainpage\",\n \"url\": \"/GIS/\"\n },\n {\n \"title\": \"NWS Mainpage\",\n \"url\": \"/nws/\"\n },\n {\n \"title\": \"Severe Weather Mainpage\",\n \"url\": \"/current/severe.phtml\"\n }\n ]\n },\n {\n \"title\": \"Datasets\",\n \"subs\": [\n {\n \"title\": \"Daily Climatology\",\n \"url\": \"/COOP/extremes.php\"\n },\n {\n \"title\": \"Daily Observations\",\n \"url\": \"/request/daily.phtml\"\n },\n {\n \"title\": \"Dataset Documentation\",\n \"url\": \"/info/datasets/\"\n },\n {\n \"title\": \"IEM Reanalysis\",\n \"url\": \"/iemre/\"\n },\n {\n \"title\": \"Model Output Statistics\",\n \"url\": \"/mos/\"\n },\n {\n \"title\": \"NEXRAD Mosaic\",\n \"url\": \"/docs/nexrad_mosaic/\"\n },\n {\n \"title\": \"PIREP - Pilot Reports\",\n \"url\": \"/request/gis/pireps.php\"\n },\n {\n \"title\": \"Roads Mainpage\",\n \"url\": \"/roads/\"\n },\n {\n \"title\": \"RADAR & Satellite\",\n \"url\": \"/current/radar.phtml\"\n },\n {\n \"title\": \"Rainfall Data\",\n \"url\": \"/rainfall/\"\n },\n {\n \"title\": \"Sounding Archive\",\n \"url\": \"/archive/raob/\"\n },\n {\n \"title\": \"Soil Moisture Satellite\",\n \"url\": \"/smos/\"\n }\n ]\n },\n {\n \"title\": \"Info\",\n \"subs\": [\n {\n \"title\": \"Info Mainpage\",\n \"url\": \"/info.php\"\n },\n {\n \"title\": \"Daily Features\",\n \"url\": \"/onsite/features/past.php\"\n },\n {\n \"title\": \"Links\",\n \"url\": \"/info/links.php\"\n },\n {\n \"title\": \"News\",\n \"url\": \"/onsite/news.phtml\"\n },\n {\n \"title\": \"Presentations\",\n \"url\": \"/present/\"\n },\n {\n \"title\": \"Referenced By\",\n \"url\": \"/info/refs.php\"\n },\n {\n \"title\": \"Station Data and Metadata\",\n \"url\": \"/sites/locate.php\"\n },\n {\n \"title\": \"Quality Control\",\n \"url\": \"/QC/\"\n },\n {\n \"title\": \"Variables\",\n \"url\": \"/info/variables.phtml\"\n }\n ]\n },\n {\n \"title\": \"Networks\",\n \"subs\": [\n {\n \"title\": \"Network Tables\",\n \"url\": \"/sites/networks.php\"\n },\n {\n \"title\": \"ASOS/AWOS Airports\",\n \"url\": \"/ASOS/\"\n },\n {\n \"title\": \"CoCoRaHS - Citizen Science\",\n \"url\": \"/cocorahs/\"\n },\n {\n \"title\": \"DCP/HADS/SHEF - Hydrological\",\n \"url\": \"/DCP/\"\n },\n {\n \"title\": \"NWS COOP - Daily Climate\",\n \"url\": \"/COOP/\"\n },\n {\n \"title\": \"ISU Soil Moisture\",\n \"url\": \"/agclimate/\"\n },\n {\n \"title\": \"NLAE Flux\",\n \"url\": \"/nstl_flux/\"\n },\n {\n \"title\": \"RWIS - Roadway Weather\",\n \"url\": \"/RWIS/\"\n },\n {\n \"title\": \"SCAN - NRCS Soil Climate\",\n \"url\": \"/scan/\"\n },\n {\n \"title\": \"Other\",\n \"url\": \"/other/\"\n },\n {\n \"title\": \"US Climate Reference\",\n \"url\": \"/uscrn/\"\n }\n ]\n },\n {\n \"title\": \"NWS Data\",\n \"subs\": [\n {\n \"title\": \"NWS Mainpage\",\n \"url\": \"/nws/\"\n },\n {\n \"title\": \"Local Storm Report App\",\n \"url\": \"/lsr/\"\n },\n {\n \"title\": \"IEM Cow (SBW Verification)\",\n \"url\": \"/cow/\"\n },\n {\n \"title\": \"IEM Raccoon (SBW Powerpoints)\",\n \"url\": \"/raccoon/\"\n },\n {\n \"title\": \"River Summary\",\n \"url\": \"/river/\"\n },\n {\n \"title\": \"Satellite Data\",\n \"url\": \"/GIS/goes.phtml\"\n },\n {\n \"title\": \"Search for Warnings\",\n \"url\": \"/vtec/search.php\"\n },\n {\n \"title\": \"Special Weather Statement (SPS) Search\",\n \"url\": \"/nws/sps_search/\"\n },\n {\n \"title\": \"SPC Convective Outlook / MCD Search\",\n \"url\": \"/nws/spc_outlook_search/\"\n },\n {\n \"title\": \"SPC Watches\",\n \"url\": \"/GIS/apps/rview/watch.phtml\"\n },\n {\n \"title\": \"Text Archives Mainpage\",\n \"url\": \"/nws/text.php\"\n },\n {\n \"title\": \"Text Listing by WFO/Center/Product\",\n \"url\": \"/wx/afos/list.phtml\"\n },\n {\n \"title\": \"Text by Product ID\",\n \"url\": \"/wx/afos/\"\n },\n {\n \"title\": \"VTEC Browser\",\n \"url\": \"/vtec/\"\n }\n ]\n },\n {\n \"title\": \"Services\",\n \"subs\": [\n {\n \"title\": \"API Mainpage\",\n \"url\": \"/api/\"\n },\n {\n \"title\": \"CGI / Bulk Data\",\n \"url\": \"/api/#cgi\"\n },\n {\n \"title\": \"Gibson Ridge Placefiles\",\n \"url\": \"/request/grx/\"\n },\n {\n \"title\": \"iembot\",\n \"url\": \"/projects/iembot/\"\n },\n {\n \"title\": \"JSON Webservices\",\n \"url\": \"/api/#json\"\n },\n {\n \"title\": \"LDM\",\n \"url\": \"/request/ldm.php\"\n },\n {\n \"title\": \"Max CSV\",\n \"url\": \"/request/maxcsv.py?help\"\n },\n {\n \"title\": \"OGC Webservices\",\n \"url\": \"/ogc/\"\n },\n {\n \"title\": \"RadMap API\",\n \"url\": \"/GIS/radmap_api.phtml\"\n },\n {\n \"title\": \"RADAR Services\",\n \"url\": \"/GIS/radview.phtml\"\n }\n ]\n },\n {\n \"title\": \"Webcams\",\n \"subs\": [\n {\n \"title\": \"Webcam mainpage\",\n \"url\": \"/projects/webcam.php\"\n },\n {\n \"title\": \"Build your own lapses\",\n \"url\": \"/current/bloop.phtml\"\n },\n {\n \"title\": \"Cool lapses\",\n \"url\": \"/cool/\"\n },\n {\n \"title\": \"IEM Webcam Viewer\",\n \"url\": \"/current/viewer.phtml\"\n },\n {\n \"title\": \"ISU Campus Webcams\",\n \"url\": \"/current/isucams.phtml\"\n },\n {\n \"title\": \"Recent lapses\",\n \"url\": \"/current/camlapse/\"\n },\n {\n \"title\": \"Still images\",\n \"url\": \"/current/webcam.php\"\n }\n ]\n }\n ]\n}\n" }, { "path": "config/settings.inc.php.in", "content": " CURRENT_TIMESTAMP - '70 minutes'::interval)\n and tmpf is not null\n ) as foo using unique foid using srid=4326\"\n STATUS OFF\n TYPE POINT\n LABELCACHE ON\n PROJECTION\n \"init=epsg:4326\"\n END\n CLASS\n EXPRESSION ([tmpf] >= 35 AND [tmpf] < 120)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n COLOR 30 190 20\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] >= 34)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n COLOR 215 255 0\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] >= 33)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n COLOR 255 164 0\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] >= 32)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n COLOR 255 50 0\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] >= 31)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n COLOR 255 0 144\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] >= 30)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n #COLOR 232 164 226\n COLOR 255 0 255\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\n CLASS\n EXPRESSION ([tmpf] > -40)\n TEXT ([tmpf])\n STYLE\n COLOR -1 -1 -1\n END\n LABEL\n #COLOR 232 214 226\n COLOR 255 255 255\n OUTLINECOLOR 0 0 0\n TYPE TRUETYPE\n FONT 'liberation'\n SIZE 10\n POSITION UL\n OFFSET 2 2\n BUFFER 1\n PARTIALS TRUE\n FORCE FALSE\n END\n END\nEND\n\n#\n# Generic stuff useful to all IEM base*.map\n#\n# USDM!\nLAYER\n NAME usdm\n STATUS OFF\n TYPE LINE\n DATA /mesonet/ldmdata/gis/shape/4326/us/dm_current.shp\n PROJECTION\n \"init=epsg:4326\"\n END\n CLASSITEM \"DM\"\n CLASS\n EXPRESSION /0/\n STYLE\n COLOR 100 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n TEXT \"D0\"\n LABEL\n COLOR 255 255 255\n END\n END\n CLASS\n EXPRESSION /1/\n TEXT \"D1\"\n STYLE\n COLOR 120 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n LABEL\n COLOR 255 255 255\n END\n END\n CLASS\n EXPRESSION /2/\n TEXT \"D2\"\n STYLE\n COLOR 160 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n LABEL\n COLOR 255 255 255\n END\n END\n CLASS\n EXPRESSION /3/\n TEXT \"D3\"\n STYLE\n COLOR 200 0 0\n SYMBOL 'circle'\n SIZE 4\n END\n LABEL\n COLOR 255 255 255\n END\n END\n CLASS\n EXPRESSION /4/\n TEXT \"D4\"\n STYLE\n COLOR 255 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n LABEL\n COLOR 255 255 255\n END\n END\nEND\nLAYER\n NAME \"iem_headerbar\"\n TYPE POLYGON\n TRANSFORM FALSE\n UNITS pixels\n FEATURE\n POINTS 0 0 0 53 2000 53 2000 0 0 0 END\n END\n STATUS OFF\n LABELCACHE OFF\n CLASS\n STYLE\n COLOR 0 0 0\n END\n END\nEND\n\nLAYER\n NAME \"iem_headerbar_logo\"\n TYPE POINT\n TRANSFORM FALSE\n LABELCACHE ON\n UNITS pixels\n FEATURE\n POINTS 40 30 END\n END\n STATUS OFF\n LABELCACHE OFF\n CLASS\n STYLE\n SYMBOL 'iem_logo'\n END\n END\nEND\n\nLAYER\n NAME \"iem_headerbar_title\"\n TYPE POINT\n STATUS OFF\n LABELCACHE ON\n TRANSFORM FALSE\n UNITS pixels\n CLASS\n LABEL\n COLOR 255 255 0\n TYPE TRUETYPE\n SIZE 18\n FONT 'liberation-bold'\n POSITION UR\n FORCE TRUE\n PARTIALS TRUE\n END\n END\n CLASS\n LABEL\n COLOR 255 255 255\n TYPE TRUETYPE\n SIZE 12\n FONT 'liberation-mono'\n POSITION UR\n FORCE TRUE\n PARTIALS TRUE\n END\n END\nEND\n\nLAYER\n NAME \"station_plot\"\n TYPE POINT\n PROJECTION\n \"init=epsg:4326\"\n END\n LABELCACHE ON\n STATUS OFF\n CLASS\n NAME \"station-cr\"\n STYLE\n COLOR 0 0 0\n END\n LABEL\n COLOR 0 0 0\n FONT 'liberation'\n POSITION CR\n TYPE TRUETYPE\n FORCE TRUE\n SIZE 12\n PARTIALS FALSE\n END\n END\n CLASS\n NAME \"station-ul\"\n STYLE\n COLOR 0 0 0\n END\n LABEL\n COLOR 255 0 0\n FONT 'liberation'\n POSITION UL\n TYPE TRUETYPE\n FORCE TRUE\n SIZE 12\n PARTIALS FALSE\n END\n END\n CLASS\n NAME \"station-ll\"\n STYLE\n COLOR 0 0 255\n END\n LABEL\n COLOR 0 0 255\n FONT 'liberation'\n POSITION LL\n TYPE TRUETYPE\n FORCE TRUE\n SIZE 12\n PARTIALS FALSE\n END\n END\nEND\n\nLAYER\n NAME cwas\n STATUS OFF\n TYPE POLYGON\n DATA /mesonet/data/gis/static/shape/4326/nws/cwas.shp\n PROJECTION\n \"init=epsg:4326\"\n END\n LABELITEM \"WFO\"\n CLASS\n STYLE\n OUTLINECOLOR 255 165 0\n END\n LABEL\n MINFEATURESIZE 50\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION CC\n PARTIALS FALSE\n END\n END\nEND\n\nLAYER\n NAME cwsu\n STATUS OFF\n TYPE POLYGON\n DATA /mesonet/data/gis/static/shape/4326/nws/cwsu.shp\n PROJECTION\n \"init=epsg:4326\"\n END\n LABELITEM \"ID\"\n CLASS\n STYLE\n OUTLINECOLOR 255 165 0\n END\n LABEL\n MINFEATURESIZE 50\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION CC\n PARTIALS FALSE\n END\n END\nEND\n\n\nLAYER\n CONNECTIONTYPE postgis\n NAME warnings0_c\n CONNECTION \"user=nobody dbname=postgis host=iemdb-postgis.local\"\n DATA \"geom from (select phenomena, significance, u.geom, random() as oid from warnings w JOIN ugcs u on (u.gid = w.gid) WHERE expire > CURRENT_TIMESTAMP) as foo using unique oid using SRID=4326\"\n STATUS OFF\n TYPE LINE\n PROJECTION\n \"init=epsg:4326\"\n END\n CLASS\n NAME \"Flash Flood Warn\"\n EXPRESSION (('[phenomena]' = 'FF' or '[phenomena]' = 'MA') and '[significance]' = 'W')\n STYLE\n COLOR 0 255 0\n SIZE 2\n SYMBOL 'circle'\n END\n END\n CLASS\n NAME \"Svr T'storm Warn\"\n EXPRESSION ('[phenomena]' = 'SV' and '[significance]' = 'W')\n STYLE\n COLOR 0 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 255 0\n SIZE 2\n SYMBOL 'circle'\n END\n END\n CLASS\n NAME \"Tornado Warn\"\n EXPRESSION ('[phenomena]' = 'TO' and '[significance]' = 'W')\n STYLE\n COLOR 0 0 0\n SIZE 4\n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 0 0\n SIZE 2\n SYMBOL 'circle'\n END\n END\n\n # Advisories\n CLASS\n NAME \"Winter Advisory\"\n EXPRESSION (('[phenomena]' = 'WW' or '[phenomena]' = 'BZ' or '[phenomena]' = 'WS' or '[phenomena]' = 'IP' or '[phenomena]' = 'HP' or '[phenomena]' = 'ZR' or '[phenomena]' = 'IS') and '[significance]' = 'Y')\n STYLE\n COLOR 222 184 135\n SIZE 3\n SYMBOL 'circle'\n END\n #STYLE\n # COLOR 222 184 135\n # SIZE 1\n # SYMBOL 'circle'\n #END\n END\n # Snow and Blowing snow\n CLASS\n NAME \"Sn or Blow Sn Adv\"\n EXPRESSION (('[phenomena]' = 'LE' or '[phenomena]' = 'SN' or '[phenomena]' = 'BS' or '[phenomena]' = 'SB') and '[significance]' = 'Y')\n STYLE\n COLOR 176 224 230\n SIZE 3 \n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 255 255\n SIZE 1\n SYMBOL 'circle'\n END\n END\n\n # Heavy Snow\n CLASS\n NAME \"Heavy Snow Warn\"\n EXPRESSION ('[phenomena]' = 'HS' and '[significance]' = 'W')\n STYLE\n COLOR 138 43 226\n SIZE 3\n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 255 255\n SIZE 1\n SYMBOL 'circle'\n END\n END\n # WW Warning\n CLASS\n NAME \"Winter Storm Warn\"\n EXPRESSION (('[phenomena]' = 'LE' or '[phenomena]' = 'WS' or '[phenomena]' = 'WW') and '[significance]' = 'W')\n STYLE\n COLOR 255 105 180\n SIZE 3\n SYMBOL 'circle'\n END\n END\n # Sleet Fz\n CLASS\n NAME \"Ice/Frz/Sleet Warn\"\n EXPRESSION (('[phenomena]' = 'IP' or '[phenomena]' = 'HP' or '[phenomena]' = 'ZR' or '[phenomena]' = 'IS') and '[significance]' = 'W') \n STYLE\n COLOR 255 20 147\n SIZE 3\n SYMBOL 'circle'\n END\n END\n # Blizzard\n CLASS\n NAME \"Blizzard Warn\"\n EXPRESSION ('[phenomena]' = 'BZ' and '[significance]' = 'W')\n STYLE\n COLOR 255 0 0\n SIZE 3\n SYMBOL 'circle'\n END\n END\n # Freeze Warning\n CLASS\n NAME \"Freeze Warn\"\n EXPRESSION ('[phenomena]' = 'FZ' and '[significance]' = 'W')\n STYLE\n COLOR 255 0 0\n SIZE 3\n SYMBOL 'circle'\n END\n END\n # Marine Statement?\n CLASS\n NAME \"Marine Statement\"\n EXPRESSION ('[phenomena]' = 'MA' and '[significance]' = 'S')\n STYLE\n COLOR 0 200 0\n SIZE 3\n SYMBOL 'circle'\n END\n END\nEND\n\n# Bar Header Bar!\nLAYER\n NAME bar640t\n TYPE POLYGON\n TRANSFORM FALSE\n STATUS OFF\n FEATURE\n POINTS 0 0 0 36 640 36 640 0 0 0 END\n END\n LABELCACHE FALSE\n CLASS\n STYLE\n COLOR 0 0 0\n END\n END\nEND\n\nLAYER\n NAME \"n0q-ramp\"\n TYPE POINT\n STATUS default\n TRANSFORM FALSE\n CLASS\n LABEL\n END\n STYLE\n SYMBOL 'n0q-ramp'\n COLOR 0 0 0\n END\n END\nEND\n\n# IEM Logo\nLAYER\n NAME logo\n TYPE POINT\n STATUS default\n TRANSFORM FALSE\n FEATURE\n WKT \"POINT(100 100)\"\n END\n CLASS\n STYLE\n SYMBOL 'iem_logo'\n END\n END\nEND\n\nLAYER\n NAME \"n0r-ramp\"\n TYPE POINT\n STATUS default\n TRANSFORM FALSE\n CLASS\n LABEL\n END\n STYLE\n SYMBOL 'n0r-ramp'\n COLOR 0 0 0\n END\n END\nEND\n\n" }, { "path": "data/gis/lsrs.mapinc", "content": "LAYER\n CONNECTIONTYPE postgis\n NAME lsrs\n CONNECTION \"user=nobody dbname=postgis host=iemdb-postgis.local\"\n DATA \"geom from (select distinct city, magnitude, valid, geom, type as ltype, city || magnitude || x(geom) || y(geom) as k from lsrs WHERE valid > 'YESTERDAY'::timestamp) as foo USING unique k USING SRID=4326 \"\n STATUS OFF\n TYPE POINT\n PROJECTION\n \"init=epsg:4326\"\n END\n CLASSITEM \"ltype\"\n CLASS\n EXPRESSION /W/\n TEXT 'WATERSPOUT'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'tornado'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /G/\n TEXT 'G[magnitude] MPH'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /M/\n TEXT 'G[magnitude] MPH'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /T/\n TEXT 'TORNADO [magnitude]'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'tornado'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /R/\n TEXT 'HEAVY RAIN [magnitude]'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /F/\n TEXT 'FLASH FLOOD'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /H/\n TEXT 'HAIL [magnitude]'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'triangle'\n SIZE 10\n END\n END\n CLASS\n EXPRESSION /S/\n TEXT 'SNOW [magnitude]inch'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 7\n END\n END\n CLASS\n EXPRESSION /5/\n TEXT 'ICE [magnitude]inch'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'circle'\n SIZE 7\n END\n END\n CLASS\n EXPRESSION /D/\n TEXT 'WND DMG [city]'\n LABEL\n OUTLINECOLOR 0 0 0\n COLOR 255 255 255\n TYPE BITMAP\n SIZE MEDIUM\n POSITION AUTO\n PARTIALS FALSE\n END\n STYLE\n COLOR 255 255 255\n SYMBOL 'triangle'\n SIZE 10\n END\n END\nEND\n" }, { "path": "data/gis/meta/26914.prj", "content": "PROJCS[\"NAD_1983_UTM_Zone_14N\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"False_Easting\",500000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-99.0],PARAMETER[\"Scale_Factor\",0.9996],PARAMETER[\"Latitude_Of_Origin\",0.0],UNIT[\"Meter\",1.0]]" }, { "path": "data/gis/meta/26915.prj", "content": "PROJCS[\"NAD_1983_UTM_Zone_15N\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"False_Easting\",500000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-93.0],PARAMETER[\"Scale_Factor\",0.9996],PARAMETER[\"Latitude_Of_Origin\",0.0],UNIT[\"Meter\",1.0]]" }, { "path": "data/gis/meta/5070.prj", "content": "PROJCS[\"NAD_1983_Contiguous_USA_Albers\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Albers\"],PARAMETER[\"False_Easting\",0.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-96.0],PARAMETER[\"Standard_Parallel_1\",29.5],PARAMETER[\"Standard_Parallel_2\",45.5],PARAMETER[\"Latitude_Of_Origin\",23.0],UNIT[\"Meter\",1.0]]" }, { "path": "data/gis/meta/current_ww.shp.xml", "content": "\r\n\r\n{FE96CD88-E2E3-4F1F-80D8-3DA8C64033D4}2008062511070300FALSE20080625111732002008062511232900Red Hat Enterprise Linux 5; PostGISenShapefile of National Weather Service issued short and long fuse watch/warning/advisories. This file is by no means complete, but covers most of the high impact weather statements.Provide GIS users with something usable without worry about parsing lots of nasty text formats :)REQUIRED: The name of an organization or individual that developed the data set.REQUIRED: The date when the data set is published or otherwise made available for release.Current Watch Warningscurrent_wwvector digital data\\\\AKRHERZ-VM222\\C$\\Documents and Settings\\akrherz\\Desktop\\IEM\\current_ww.shppublication dateunknownIn workContinually-112.700000-66.56666648.64579818.150459-112.700000-66.56666618.15045948.645798unknownwarnings, nwsNoneNoneShapefileDaryl HerzmannIowa State UniversityAssistant Scientist515 294 5978akrherz@iastate.eduNational Weather ServiceUnclassifiedMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.4.1420current_ww-112.7-66.56666648.64579818.1504591-112.7-66.56666648.64579818.1504591enFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeREQUIRED: The person responsible for the metadata information.REQUIRED: The organization responsible for the metadata information.REQUIRED: The mailing and/or physical address for the organization or individual.REQUIRED: The city of the address.REQUIRED: The state or province of the address.REQUIRED: The ZIP or other postal code of the address.REQUIRED: The telephone number by which individuals can speak to the organization or individual.20080625http://www.esri.com/metadata/esriprof80.htmlESRI Metadata ProfileISO 19115 Geographic Information - MetadataDIS_ESRI1.0datasetDownloadable Data0.5000.500002file://\\\\AKRHERZ-VM222\\C$\\Documents and Settings\\akrherz\\Desktop\\IEM\\current_ww.shpLocal Area Network0.500ShapefileVectorSimplePolygonFALSE137FALSEFALSEG-polygon137GCS_North_American_1983Decimal degrees0.0000000.000000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222GCS_North_American_1983137current_wwFeature Class137FIDFIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeShapeGeometry000Feature geometry.ESRICoordinates defining the features.ISSUEDISSUEDString12EXPIREDEXPIREDString12TYPETYPEString2GTYPEGTYPEString1SIGSIGString120080625\r\n" }, { "path": "data/gis/roads.mapinc", "content": "LAYER\n CONNECTIONTYPE postgis\n NAME \"roads\"\n CONNECTION \"user=nobody dbname=postgis host=iemdb-postgis.local\"\n DATA \"geom from (select b.type as rtype, b.int1, random() as boid, b.segid, c.cond_code, b.geom from roads_base b, roads_current c WHERE b.segid = c.segid and b.type > 1 ORDER by b.segid DESC) as foo using UNIQUE boid using SRID=26915\"\n STATUS OFF\n TYPE LINE\n METADATA\n \"wfs_title\" \"Iowa Non-Interstates Conditions\"\n \"wms_title\" \"Iowa Non-Interstates Conditions\"\n \"wms_srs\" \"EPSG:4326 EPSG:26915 EPSG:3857\"\n END\n #FILTER \"expire > CURRENT_TIMESTAMP and gtype = 'C'\"\n PROJECTION\n \"init=epsg:26915\"\n END\n TEMPLATE \"roadsq.html\"\n LABELCACHE ON\n CLASS\n NAME 'normal'\n EXPRESSION ([cond_code] = 0 or [cond_code] = 76)\n STYLE\n COLOR 153 153 153\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 0 0\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'wet'\n EXPRESSION ([cond_code] = 1)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 204 0\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'frost'\n EXPRESSION ([cond_code] >= 3 and [cond_code] <= 14)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 240 240 0\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'closed'\n EXPRESSION ([cond_code] = 86)\n STYLE\n COLOR 250 250 0\n WIDTH 7\n ANTIALIAS TRUE\n END\n STYLE\n COLOR 230 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 250 250 0\n SIZE 3\n SYMBOL 'fill45'\n END\n END\n CLASS\n NAME 'not advised'\n EXPRESSION ([cond_code] = 51)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 232 95 1\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n # SLUSH!\n CLASS\n NAME 'pc-mix'\n EXPRESSION ([cond_code] = 56 or [cond_code] = 27 or [cond_code] = 15)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 197 197\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'mc-mix'\n EXPRESSION ([cond_code] = 60 or [cond_code] = 31 or [cond_code] = 19)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 254 51 153\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'cc-mix'\n EXPRESSION ([cond_code] = 64 or [cond_code] = 35 or [cond_code] = 23)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 181 0 181\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n # Snow!\n CLASS\n NAME 'pc-snow'\n EXPRESSION ([cond_code] = 39)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 153 255 255\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'mc-snow'\n EXPRESSION ([cond_code] = 43)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 153 254\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'cc-snow'\n EXPRESSION ([cond_code] = 47)\n STYLE\n COLOR 0 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 0 158\n WIDTH 3\n ANTIALIAS TRUE\n END\n END\n\n# CLASS\n# NAME 'others'\n# STYLE\n# COLOR 255 255 0\n# WIDTH 3\n# ANTIALIAS TRUE\n# END\n# END\n TOLERANCE 50\nEND\n\n#____________________\n# We label interstates a bit larger!\n#\nLAYER\n CONNECTIONTYPE postgis\n NAME \"roads-inter\"\n CONNECTION \"user=nobody dbname=postgis host=iemdb-postgis.local\"\n DATA \"geom from (select b.type as rtype, b.int1, random() as boid, b.segid, c.cond_code, b.geom from roads_base b, roads_current c WHERE b.segid = c.segid and b.type = 1 ORDER by b.segid DESC) as foo using UNIQUE boid using SRID=26915\"\n STATUS OFF\n TYPE LINE\n METADATA\n \"wfs_title\" \"Iowa Interstates Conditions\"\n \"wms_title\" \"Iowa Interstates Conditions\"\n \"wms_srs\" \"EPSG:4326 EPSG:26915 EPSG:3857\"\n END\n #FILTER \"expire > CURRENT_TIMESTAMP and gtype = 'C'\"\n PROJECTION\n \"init=epsg:26915\"\n END\n TEMPLATE \"roadsq.html\"\n LABELCACHE ON\n CLASS\n NAME 'normal'\n EXPRESSION ([cond_code] = 0 or [cond_code] = 76)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 0 0\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'wet'\n EXPRESSION ([cond_code] = 1)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 204 0\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'frost'\n EXPRESSION ([cond_code] >= 3 and [cond_code] <= 14)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n #COLOR 152 152 152\n COLOR 240 240 0\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n\n CLASS\n NAME 'closed-int'\n EXPRESSION ([cond_code] = 86)\n STYLE\n COLOR 250 250 0\n WIDTH 7\n ANTIALIAS TRUE\n END\n STYLE\n COLOR 230 0 0\n SIZE 5\n SYMBOL 'circle'\n END\n STYLE\n COLOR 250 250 0\n SIZE 3\n SYMBOL 'fill45'\n END\n END\n CLASS\n NAME 'not advised'\n EXPRESSION ([cond_code] = 51)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 232 95 1\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n # SLUSH!\n CLASS\n NAME 'pc-mix'\n EXPRESSION ([cond_code] = 56 or [cond_code] = 27 or [cond_code] = 15)\n STYLE\n COLOR 0 0 0\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 255 197 197\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'mc-mix'\n EXPRESSION ([cond_code] = 60 or [cond_code] = 31 or [cond_code] = 19)\n STYLE\n COLOR 0 0 0\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 254 51 153\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'cc-mix'\n EXPRESSION ([cond_code] = 64 or [cond_code] = 35 or [cond_code] = 23)\n STYLE\n COLOR 0 0 0\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 181 0 181\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'snow'\n EXPRESSION ([cond_code] = 39)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 153 255 255\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'snow'\n EXPRESSION ([cond_code] = 43)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 153 254\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n CLASS\n NAME 'snow'\n EXPRESSION ([cond_code] = 47)\n STYLE\n COLOR 220 220 220\n SIZE 7\n SYMBOL 'circle'\n END\n STYLE\n COLOR 0 0 158\n WIDTH 5\n ANTIALIAS TRUE\n END\n END\n\n\n TOLERANCE 50\nEND\n" }, { "path": "data/gis/stations.sym", "content": "SYMBOLSET\n\n SYMBOL\n NAME 'circle'\n TYPE ELLIPSE\n Filled TRUE\n POINTS 1 1 END\n END\n\n\n SYMBOL\n TYPE vector\n POINTS\n 0 0\n 6 6\n END\n END\nSYMBOL\n NAME 'fill45'\n TYPE Ellipse\n FILLED TRUE\n POINTS\n 1 1\n END\n# STYLE 1 5 END\nEND\nSYMBOL\n NAME \"triangle\"\n TYPE vector\n POINTS\n 0 4\n 2 0\n 4 4\n 0 4\n END\nEND\n\nSYMBOL\n NAME \"tornado\"\n TYPE vector\n FILLED TRUE\n POINTS\n 0 0\n 2 4\n 4 0\n 0 0\n END\nEND\t\t\t\n\nSymbol\n Name 'airplane'\n Type PIXMAP\n Image 'images/airplane.png'\n Transparent 0\nEND\n\nSymbol\n Name 'airplane_yellow'\n Type PIXMAP\n Image 'images/airplane_yellow.png'\n Transparent 0\nEND\n\nSymbol\n Name 'water'\n Type PIXMAP\n Image 'images/water.png'\n Transparent 0\nEND\nSymbol\n Name 'schoolhouse'\n Type PIXMAP\n Image 'images/schoolhouse.png'\n Transparent 1\nEND\nSymbol\n Name 'nws'\n Type PIXMAP\n Image 'images/nws.png'\n Transparent 0\nEND\nSymbol\n Name 'cyclone'\n Type PIXMAP\n Image 'images/cyclone.png'\n Transparent 18\nEND\nSymbol\n Name 'nrcs'\n Type PIXMAP\n Image 'images/nrcs.png'\n Transparent 0\nEND\nSymbol\n Name 'roadcond'\n Type PIXMAP\n Image 'images/roadcond.png'\nEND\n\nSymbol\n Name 'n0r-ramp'\n Type PIXMAP\n Image 'images/n0r-ramp.png'\nEND\n\nSymbol\n Name 'n0q-ramp'\n Type PIXMAP\n Image 'images/n0q-ramp.png'\n Transparent 0\nEND\n\n\n\n Symbol\n Name 'interstate_shield'\n Type PIXMAP\n Image 'interstate-2.png'\n Transparent 0\n END\n\n Symbol\n Name 'us_highway_shield'\n Type PIXMAP\n Image 'images/ushwy.png'\n Transparent 1\n END\n\n Symbol\n Name 'state_highway_shield'\n Type PIXMAP\n Image 'images/sthwy.png'\n END \n\n Symbol\n Name 'county_highway_shield'\n Type PIXMAP\n Image 'images/ctyhwy.png'\n Transparent 0\t\n END\n\n Symbol\n Name 'x'\n Type PIXMAP\n Image 'images/x.png'\n Transparent 1\t\n END\n\n Symbol\n Name 'kcci8'\n Type PIXMAP\n Image 'images/kcci8.png'\n# Transparent 1\n END\n\nSymbol\n NAME 'iem_logo'\n TYPE PIXMAP\n IMAGE 'images/iem_logo.png'\n TRANSPARENT 0\nEND\n Symbol\n Name 'nws_logo'\n Type PIXMAP\n Image 'images/nws.png'\n Transparent 0\n END\n\n\n\n\n Symbol\n Name 'doppler8'\n Type PIXMAP\n Image 'images/doppler8.png'\n Transparent 253\n END\n\nSymbol\n Name 'kcci-lsd2007'\n Type PIXMAP\n Image 'images/kcci-lsd2007.png'\n Transparent 0\nEND\n\nSymbol\n Name 'clrbar'\n Type PIXMAP\n Image 'images/clrbar.png'\n Transparent 17\nEND\n\nEND\n" }, { "path": "data/gis/symbols/stations.sym", "content": "SYMBOLSET\n SYMBOL\n NAME 'circle'\n TYPE ELLIPSE\n Filled TRUE\n POINTS 1 1 END\n END\n\n\n SYMBOL\n TYPE vector\n POINTS\n 0 0\n 6 6\n END\n END\n\nSYMBOL\n NAME \"triangle\"\n TYPE vector\n Filled TRUE\n POINTS\n 0 4\n 2 0\n 4 4\n 0 4\n END\nEND\n\nSYMBOL\n NAME \"tornado\"\n TYPE vector\n FILLED TRUE\n POINTS\n 0 0\n 2 4\n 4 0\n 0 0\n END\nEND\t\t\t\n\nSymbol\n Name 'airplane'\n Type PIXMAP\n Image 'images/airplane.png'\n Transparent 0\nEND\n\nSymbol\n Name 'precip'\n Type PIXMAP\n Image 'bars/rainbow2.png'\n #Transparent 0\nEND\n\n\nSymbol\n Name 'airplane_yellow'\n Type PIXMAP\n Image 'images/airplane_yellow.png'\n Transparent 0\nEND\n\nSymbol\n Name 'water'\n Type PIXMAP\n Image 'images/water.png'\n Transparent 0\nEND\nSymbol\n Name 'schoolhouse'\n Type PIXMAP\n Image 'images/schoolhouse.png'\n Transparent 1\nEND\nSymbol\n Name 'nws'\n Type PIXMAP\n Image 'images/nws.png'\n Transparent 0\nEND\nSymbol\n Name 'cyclone'\n Type PIXMAP\n Image 'images/cyclone.png'\n Transparent 18\nEND\nSymbol\n Name 'nrcs'\n Type PIXMAP\n Image 'images/nrcs.png'\n Transparent 0\nEND\n\n\n\n Symbol\n Name 'interstate_shield'\n Type PIXMAP\n Image 'interstate-2.png'\n Transparent 0\n END\n\n Symbol\n Name 'us_highway_shield'\n Type PIXMAP\n Image 'images/ushwy.png'\n Transparent 1\n END\n\n Symbol\n Name 'state_highway_shield'\n Type PIXMAP\n Image 'images/sthwy.png'\n END \n\n Symbol\n Name 'county_highway_shield'\n Type PIXMAP\n Image 'images/ctyhwy.png'\n Transparent 0\t\n END\n\n Symbol\n Name 'x'\n Type PIXMAP\n Image 'images/x.png'\n Transparent 1\t\n END\n\n Symbol\n Name 'kcci8'\n Type PIXMAP\n Image 'images/kcci8.png'\n# Transparent 1\n END\n\n Symbol\n Name 'iem_logo'\n Type PIXMAP\n Image 'images/iem_logo.png'\n Transparent 0\n END\n\n\n\n Symbol\n Name 'doppler8'\n Type PIXMAP\n Image 'images/doppler8.png'\n Transparent 253\n END\n\nSymbol\n Name 'clrbar'\n Type PIXMAP\n Image 'images/clrbar.png'\n Transparent 17\nEND\nEND\n" }, { "path": "deployment/iem-tilecache.service", "content": "[Unit]\nDescription=IEM TileCache Gunicorn backend (/c and /cache)\nAfter=network.target\nBefore=httpd.service\n\n[Service]\nType=simple\nUser=apache\nEnvironment=PATH=/opt/miniconda3/envs/prod/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin\nExecStartPre=/usr/bin/test -x /opt/miniconda3/envs/prod/bin/gunicorn\nExecStartPre=/usr/bin/test -x /opt/iem/deployment/start_tc_wsgi.sh\nExecStart=/opt/iem/deployment/start_tc_wsgi.sh\nRestart=on-failure\nRestartSec=5\nSyslogIdentifier=iem-tc\nStandardOutput=syslog\nStandardError=syslog\n\n[Install]\nWantedBy=multi-user.target\n" }, { "path": "deployment/start_tc_wsgi.sh", "content": "#!/bin/bash\n# Start the dedicated Gunicorn backend for TileCache (/c and /cache).\n#\n# Mirrors the legacy iemwsgi_tc daemon sizing while moving the Python app\n# server off Apache.\n\nPORT=${1:-9081}\nCONDA_PREFIX=/opt/miniconda3/envs/prod\nMAX_REQUESTS=${MAX_REQUESTS:-10000000}\nMAX_REQUESTS_JITTER=${MAX_REQUESTS_JITTER:-5000}\n\n# Use the conda env's binaries directly rather than relying on interactive\n# shell activation (systemd runs non-interactive shells).\nexport PATH=\"${CONDA_PREFIX}/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin\"\n\n# Attempt to get some logging when bad things happen\nexport PYTHONFAULTHANDLER=1\n\n# Keep request-count recycling enabled to cap Python memory leaks. Gunicorn\n# rotates individual workers instead of restarting an embedded Apache stack.\nexec \"${CONDA_PREFIX}/bin/gunicorn\" \\\n --bind \"127.0.0.1:${PORT}\" \\\n --no-control-socket \\\n --workers 3 \\\n --worker-class gthread \\\n --threads 15 \\\n --backlog 2048 \\\n --pythonpath /opt/iem/pylib/ \\\n --max-requests \"$MAX_REQUESTS\" \\\n --max-requests-jitter \"$MAX_REQUESTS_JITTER\" \\\n --timeout 60 \\\n --graceful-timeout 60 \\\n --error-logfile - \\\n --capture-output \\\n --log-level warn \\\n --log-syslog \\\n --log-syslog-facility local1 \\\n iemweb.tilecache_dispatch:application\n" }, { "path": "deployment/symlink_manager.py", "content": "\"\"\"Attempt to manage the disaster that is IEM symlinking\"\"\"\n\nfrom pathlib import Path\n\nfrom pyiem.util import logger\n\nLOG = logger()\n\n# LINK , TARGET\nM2 = \"/mnt/mesonet2\"\nPAIRS = [\n [\"/mesonet/data/merra2\", f\"{M2}/data/merra2\"],\n [\"/mesonet/nawips\", f\"{M2}/gempak\"],\n [\"/mesonet/wepp\", f\"{M2}/idep\"],\n [\"/mesonet/ARCHIVE/gempak\", f\"{M2}/longterm/gempak\"],\n [\"/mesonet/ARCHIVE/raw\", f\"{M2}/longterm/raw\"],\n [\"/mesonet/ARCHIVE/rer\", f\"{M2}/ARCHIVE/rer\"],\n [\"/mesonet/data/conus404\", f\"{M2}/data/conus404\"],\n [\"/mesonet/data/dotcams\", f\"{M2}/data/dotcams\"],\n [\"/mesonet/data/era5\", f\"{M2}/data/era5\"],\n [\"/mesonet/data/era5_china\", f\"{M2}/data/era5_china\"],\n [\"/mesonet/data/era5_europe\", f\"{M2}/data/era5_europe\"],\n [\"/mesonet/data/era5_sa\", f\"{M2}/data/era5_sa\"],\n [\"/mesonet/data/gempak\", f\"{M2}/data/gempak\"],\n [\"/mesonet/data/iemre\", f\"{M2}/data/iemre\"],\n [\"/mesonet/data/iemre_china\", f\"{M2}/data/iemre_china\"],\n [\"/mesonet/data/iemre_europe\", f\"{M2}/data/iemre_europe\"],\n [\"/mesonet/data/iemre_sa\", f\"{M2}/data/iemre_sa\"],\n [\"/mesonet/data/prism\", f\"{M2}/data/prism\"],\n [\"/mesonet/data/incoming\", f\"{M2}/data/incoming\"],\n [\"/mesonet/data/madis\", f\"{M2}/data/madis\"],\n [\"/mesonet/data/model\", f\"{M2}/data/model\"],\n [\"/mesonet/data/mrms\", f\"{M2}/data/mrms\"],\n [\"/mesonet/data/ndfd\", f\"{M2}/data/ndfd\"],\n [\"/mesonet/data/nldas\", f\"{M2}/data/nldas\"],\n [\"/mesonet/data/smos\", f\"{M2}/data/smos\"],\n [\"/mesonet/data/stage4\", f\"{M2}/data/stage4\"],\n [\"/mesonet/data/text\", f\"{M2}/data/text\"],\n [\"/mesonet/ldmdata\", f\"{M2}/ldmdata\"], # May fail if node writes data\n [\"/mesonet/share/cases\", f\"{M2}/share/cases\"],\n [\"/mesonet/share/climodat\", f\"{M2}/share/climodat\"],\n [\"/mesonet/share/features\", f\"{M2}/share/features\"],\n [\"/mesonet/share/iemmaps\", f\"{M2}/share/iemmaps\"],\n [\"/mesonet/share/lapses\", f\"{M2}/share/lapses\"],\n [\"/mesonet/share/pickup\", f\"{M2}/share/pickup\"],\n [\"/mesonet/share/pics\", f\"{M2}/share/pics\"],\n [\"/mesonet/share/present\", f\"{M2}/share/present\"],\n [\"/mesonet/share/usage\", f\"{M2}/share/usage\"],\n [\"/mesonet/share/windrose\", f\"{M2}/share/windrose\"],\n [\"/mesonet/home\", f\"{M2}/home\"],\n]\n\n\ndef workflow(link: Path, target: Path):\n \"\"\"Do things\"\"\"\n if not target.exists():\n LOG.info(\"ERROR: link target: %s is not found\", target)\n return\n if not link.is_symlink() and link.is_dir():\n LOG.info(\"ERROR: symlink: %s is already a directory!\", link)\n return\n if link.is_symlink():\n oldtarget = link.resolve()\n if oldtarget == target:\n return\n link.unlink()\n LOG.info(\"%s -> %s\", link, target)\n link.symlink_to(target)\n\n\ndef main():\n \"\"\"Go Main\"\"\"\n # Ensure some base folders exist\n for mysubdir in [\"share\", \"ARCHIVE\", \"data\"]:\n path = Path(\"/mesonet\") / Path(mysubdir)\n if not path.is_dir():\n path.mkdir(parents=True)\n # Quasi dynamic generation of /mesonet/ARCHIVE/data/YYYY links\n if not Path(\"/mesonet/ARCHIVE/data\").is_dir():\n Path(\"/mesonet/ARCHIVE/data\").mkdir(parents=True)\n for year in range(1893, 2015):\n link = Path(\"/mesonet/ARCHIVE/data\") / str(year)\n target = Path(f\"/mnt/archive32/ARCHIVE/data/{year}\")\n workflow(link, target)\n for year in range(2015, 2019):\n link = Path(\"/mesonet/ARCHIVE/data\") / str(year)\n target = Path(f\"/mnt/archive5/ARCHIVE/data/{year}\")\n workflow(link, target)\n for year in range(2019, 2024):\n link = Path(\"/mesonet/ARCHIVE/data\") / str(year)\n target = Path(f\"/mnt/archive32/ARCHIVE/data/{year}\")\n workflow(link, target)\n for year in range(2024, 2025):\n link = Path(\"/mesonet/ARCHIVE/data\") / str(year)\n target = Path(f\"/mnt/archive5/ARCHIVE/data/{year}\")\n workflow(link, target)\n for year in range(2025, 2027):\n link = Path(\"/mesonet/ARCHIVE/data\") / str(year)\n target = Path(f\"/mnt/archive33/ARCHIVE/data/{year}\")\n workflow(link, target)\n\n for link, target in PAIRS:\n workflow(Path(link), Path(target))\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "docs/datasets/afos.md", "content": "## NWS Text Product Archive\n\n### Summary\n\nThis archive consists of raw ASCII text products issued by the National\nWeather Service. Some places on the website will refer to this as \"AFOS\", which\nis an archaic old abbreviation associated with this dataset. The realtime source\nof this dataset is the processing of text products sent over the NOAAPort SBN, but\narchives have been backfilled based on what exists at NCEI and also some archives\nprovided by the University of Wisconsin.\n\n* __Download Interface__: [IEM On-Demand](https://mesonet.agron.iastate.edu/wx/afos/)\n* __Spatial Domain__: Generally US NWS Offices that issue text products.\n* __Temporal Domain__: Some data back to 1996, but archive quality and completeness\ngreatly improves for dates after 1998.\n\n### Justification for processing\n\nWhile the Internet provides many places to view current NWS Text Products, archives of these are much more difficult to find. One of the primary goals of the IEM website is to maintain stable URLs, so when links are generates to NWS Text Products, they need to work into the future! Many of these text products have very useful information in them for researchers and others in the public.\n\n### Other Sources of Information\n\nThe [NCEI Site](https://www.ncei.noaa.gov) would be an authoritative source, but their archives of this data are very painful to work with. There are a number of other sites that have per-UTC day files with some text products included. For example [Oklahoma Mesonet](https:/mesonet.org/data/public/noaa/text/archive/).\n\n### Processing and Quality Control\n\nGenerally, some quality control is done to ensure that the data is ASCII format and not filled with control characters. There are also checks that product timestamps are sane and represent a timestamp that is close to reality. For example over the NOAAPort SBN feed, there is about one product per day that is a misfire or some other error that is not allowed to be inserted into the database.\n\nThis database culls some of the more frequently issued text products. The reason being to save space and some of the text products are not very appropriate for long term archives. The most significant deletion are the SHEF products, which would overwhelm my storage system if I attempted to save the data! [The script](https://github.com/akrherz/iem/blob/main/scripts/dbutil/clean_afos.py) that does the database culling each day contains the exact AWIPS IDs used for this cleaning.\n\n### Frequently Asked Questions\n\n1. How can I bulk download the data?\n\nSadly, this is not well done at the moment. The [WX AFOS](https://mesonet.agron.iastate.edu/wx/afos/) is about the best option as it has a \"Download Text\" button.\n\n2. Please describe any one-offs within the archive?\n\nThe `RRM` product is generally SHEF and thus was culled from the database to conserve space.\nAn IEM user requested that this product be retained, so the culling of it stopped on 31\nMarch 2023. So this product's archive only dates back till then.\n" }, { "path": "docs/datasets/climodat.md", "content": "## IEM Climodat Reports and Data\n\n### Summary\n\nThis document describes the once daily climate dataset that provides observations and estimates of high and low temperature, precipitation, snowfall, and snow depth. Parts of this dataset have been curated over the years by a number of Iowa State employees including Dr Shaw, Dr Carlson, and Dr Todey.\n\n* __Download Interface__: [IEM On-Demand](https://mesonet.agron.iastate.edu/request/coop/fe.phtml)\n* __Spatial Domain__: United States\n* __Temporal Domain__: varies by station\n* __Variables Provided__: Once daily high and low temperature, precipitation, snowfall, snow depth\n\n### Justification for processing\n\nThe most basic and important long term climate record are the once daily reports of high and low temperature along with precipitation and sometimes snow. The most commonly asked question of the IEM datasets are climate related, so curating a long-term dataset of daily observations is necessary.\n\n### Other Sources of Information\n\nA great source of much of the same type of data is [Regional Climate Centers ACIS](http://www.rcc-acis.org/). The complication when comparing IEM Climodat data to other sources is the difference in station identifiers used. The history of station identifiers is long and complicated. The National Center for Environmental Information (NCEI) has made strides in attempting to straighten the identifiers out. This continues to be complicated as the upstream data source of information uses a completely different set of identifiers known as National Weather Service Location Identifiers (NWSLI), which are different than what NCEI or the IEM uses for our climate datasets.\n\n### Processing and Quality Control\n\nThere is nothing easy or trivial about processing or quality control of this dataset. After decades of work, plenty of issues remain. Having human observers be the primary driver of this dataset is both a blessing and a curse. The good aspects include the archive dating back to the late 1800s for some locations and relatively high data quality. The bad aspects include lots of metadata issues due to observation timing, station moves, and equipment siting.\n\nThe primary data source for this dataset is the National Weather Service COOP observers. These reports come to the IEM over a variety of paths:\n\n* Realtime reports found in NWS SHEF Text Products, processed in realtime by the IEM\n* Via manually downloaded data archives provided by NCEI\n* Via web services provided by RCC ACIS\n\nThe merging of these four datasets creates a bit of a nightmare to manage.\n\nSnowfall and snow depth data is always problematic. First, lets clarify what the terms mean. \"Snowfall\" is the amount of snow that fell from the sky over the previous 24 hour period. \"Snow depth\" is the amount of snow measured to be on the ground due to previous snowfalls. These numbers may sometimes contradict with snowfall amounts being larger than snow depth due to melting and/or compaction. Care should be used when analyzing the snowfall and snow depth reports.\n\n### Frequently Asked Questions\n\n1. This data contains 'Statewide' and 'Climate District' observations, where do they come from?\n\n The IEM produces gridded analyses of observed variables. A GIS-style weighted spatial sampling is done from this grid to derive averaged values over geographies like states and climate districts. Of course, when you average something like precipitation over a large area, you end up with rates that are lower than peak station rates and also with more precipitation events than individual stations within the region.\n\n1. The download provides only a date, what time period does this represent?\n\n Almost always, this date *does not* represent a local calendar date's worth of data. This date represents the date on which the observation was taken. Typically, this observation is taken at about 7 AM and so represents a 24 hour period prior to 7 AM. Explicitly providing the time of observation is a future and necessary enhancement to this dataset, but just tricky to do. Some observation locations have switched times over the years and some even observe 24 hour precipitation totals at a different time than the temperature values. Nothing is ever easy with this dataset...\n\n1. Where does the radiation data come from?\n\n The NWS COOP Network does not provide observations of daily solar radiation, but this variable is extremely important to many folks that use this information for modelling. As a convience, the IEM processes a number of reanalysis datasets and produces point sampling from the gridded information to provide \"daily\" radiation totals. A major complication is that the 'daily' COOP observations are typically at 7 AM and the gridded solar radiation data is extracted on close to a local calendar day basis. In general, the 7 AM value is for the previous day.\n\n1. Where does the non-radiation data come from?\n\n This information is primarily driven by the realtime processing of NWS COOP observations done by the IEM. For data older than the past handful of years, it is taken from the NCEI databases and now the ACIS web services. Some manual work is done to meld the differences in site identifiers used between the various online resources.\n\n1. How do I know which variables have been estimated and which are observations?\n\n The download interface for this dataset provides an option to include a flag for which observations have estimated temperatures or precipitation. Presently, a general flag is provided for both high and low temperature and no flag is provided for the snowfall and snow depth information.\n" }, { "path": "docs/datasets/iemre.md", "content": "## IEM Reanalysis\n\n### Summary\n\nThe IEM Reanalysis dataset is a daily gridded product combining a number of\ndatasets into one product hopefully void of missing values. In some cases,\ndata is interpolated and in other cases, the data is resampled from another\ngrid. Keeping the workflow doing is a daily challenge due to changes in various\ninput datasets and quirks with datasets over time.\n\n* __Download Interface__: [IEM On-Demand](https://mesonet.agron.iastate.edu/iemre/)\n* __Spatial Domain__: ...\n* __Temporal Domain__: ...\n\n### Justification for processing\n\nA consistent and complete gridded analysis enables many downstream products and\napplications. Single point observations are of higher quality, but often have\ngaps and their representativity varies depending on many factors.\n\nThere are many alternative sources available today with similiar data, but it is\ngood to have a product under IEM workflow control that is not subject to outages\nand data service dropouts. For example, government shutdowns.\n\n### Other Sources of Information\n\nThere are many. NARR, ERA5, and the list goes on.\n\n### Processing and Quality Control\n\nTo be written...\n\n### Frequently Asked Questions\n\n1. When are daily fields updated?\n\n Well, there is a long story!\n\n1. This is another question I have?\n\n Well, there is another story?" }, { "path": "docs/datasets/metar.md", "content": "## ASOS/AWOS Global METAR Archives\n\n### Summary\n\nThe primary format that worldwide airport weather station data is reported in is called METAR. This format is somewhat archaic, but well known and utilized in the community. The data is sourced from a number of places including: [Unidata IDD](https://www.unidata.ucar.edu/projects/#idd), [NCEI ISD](https://www.ncdc.noaa.gov/isd), [MADIS One Minute ASOS](https://madis.ncep.noaa.gov/madis_OMO.shtml), and [NCEI GHCHh](https://www.ncei.noaa.gov/products/global-historical-climatology-network-hourly). The weather stations included are typically called \"Automated Surface Observation System (ASOS)\". The term \"Automated Weather Observation System (AWOS)\" is often used inter-changably.\n\n* __Download Interface__: [IEM On-Demand](https://mesonet.agron.iastate.edu/request/download.phtml)\n* __Spatial Domain__: Worldwide\n* __Temporal Domain__: 1900-present\n\n### Justification for processing\n\nThe highest quality weather information comes from the ASOS sites. These stations get routine maintenance, considerable quality control, and is the baseline hourly interval dataset used by all kinds of folks. The data stream processed by the IEM contains global stations, so extending the ingest to the entire data stream was not significant effort.\n\n### Other Sources of Information\n\n[NCEI Integrated Surface Database (ISD)](https://www.ncdc.noaa.gov/isd) is likely the most authoritative source of this information.\n\n### Processing and Quality Control\n\nA Python based ingestor using the metar package processes this information into the IEM database.\n\n### Frequently Asked Questions\n\n1. Why is precipitation data all missing / zero for non-US locations?\n\nIt is the IEM's understanding that precipitation is not included in the global data streams due to previous data distribution agreements. The precipitation data is considered of very high value as it can be used to model and predict the status of agricultural crops in the country. Such information could push commodity markets. For the present day, other satellite datasets likely negate some of these advantages, but alas.\n\n2. How are \"daily\" precipitation totals calculated?\n\nIn general, the ASOS stations operate in local standard time for the entire year round. This has some implications with computation of various daily totals as during daylight saving time, the calendar day total will represent a 1 AM to 1 AM local daylight time period. For the context of this METAR dataset, not all METAR reporting sites will generate a total that can be used for assignment of a calendar day's total. So the IEM uses a number of approaches to arrive at this total.\n\n* A script manually totals up the hourly precipitation reports and computes a true local calendar day total for the station, this total may later be overwritten by either of the below.\n* A real-time ingest process gleans the daily totals from the Daily Summary Message (DSM) issued by some ASOS sites.\n* A real-time ingest process gleans the daily totals from the Climate Report (CLI) that is issued for some ASOS sites by their respective local NWS Forecast Offfice.\n\nNot all stations have DSM and/or CLI products, so the manual totaling provides a minimum accounting. The complication is that this total does not cover the same period that a CLI/DSM product does. So complicated!\n\n3. Please explain the temperature units, storage and processing.\n\nThis is why we can not have nice things. The following discussion generally applies to the US observation sites. No matter what you see in various data feeds, the ASOS stations internally store their temperatures in **whole degree Fahrenheit**. The issues happen when the station transmits the data in whole degree Celsius and thus not have enough precision to covert back to Fahrenheit. For example, if the station observed a 78F temperature and then transmitted a 26C value, that 26C value converts back to 78.8F, which rounds to 79F. And down the rabbit-hole we go!\n\nThe IEM's archive of ASOS/METAR data comes from 3 main sources and some minor auxillary ones. The main source is the NOAA satellite feed, called NOAAPort. This feed provides data in METAR format, so the transmitted units are always whole degree Celsius, but sometimes the METAR `T-group` is included, so there is enough added precision to reliabily convert back to whole degree Fahrenheit. The IEM's processing attempts to prioritize those METARs that include the `T-group`, so that reliable Fahrenheit storage can occur.\n\nThe next main source is from the MADIS 5-minute ASOS dataset, previously called High Frequency METAR. This data feed has a significant issue whereby the transmitted data from the FAA to the NWS is only in whole degree Celsius. Such data can not be reliably converted back to whole degree Fahrenheit. For this reason, the IEM database stores these values as missing and they are not included in the data download. BUT, for those that really want this information, these values are included in the IEM-encoded raw METAR string that you can download with the data. You can find further discussion on this [IEM News Item](https://mesonet.agron.iastate.edu/onsite/news.phtml?id=1290).\n\nThe third main source is from the [NCEI ISD](https://www.ncdc.noaa.gov/isd). At this time, there are no known issues with the temperature data in this feed being reliable for whole degree Fahrenheit.\n" }, { "path": "docs/datasets/template.md", "content": "## IEM Template [WIP]\n\n### Summary\n\nThis is...\n\n* __Download Interface__: [IEM On-Demand](https://mesonet.agron.iastate.edu)\n* __Spatial Domain__: ...\n* __Temporal Domain__: ...\n\n### Justification for processing\n\nThis is...\n\n### Other Sources of Information\n\nThis is...\n\n### Processing and Quality Control\n\n\n| First Header | Second Header |\n| ------------- | ------------- |\n| Content Cell | Content Cell |\n| Content Cell | Content Cell |\n\n### Frequently Asked Questions\n\n1. Where does the radiation data come from?\n\n Well, there is a long story!\n\n1. Where does the non-radiation data come from?\n\n Well, ther eis another story?" }, { "path": "docs/datasets/vtec.md", "content": "# NWS Valid Time Extent Code (VTEC) Archives\n\n## Summary\n\nThe National Weather Service uses a rather complex and extensive suite of products and methodologies to issue watch, warnings, and advisories (WWA). Back in the 1990s and early 2000s, the automated processing of these products was extremely difficult and rife with errors. To help with automated parsing, the NWS implemented a system called Valid Time Extent Code (VTEC) which provides a more programatic description of what an individual WWA product is doing. The implementation of began in 2005 and was mostly wrapped up by 2008. The IEM attempts to do high fidelity processing of this data stream and has a number of Internet unique archives and applications to view this information.\n\n* __Download Interface__: [Shapefile/KML Download](https://mesonet.agron.iastate.edu/request/gis/watchwarn.phtml)\n* __Spatial Domain__: United States, including Guam, Puerto Rico and some other islands\n* __Temporal Domain__: Most WWA types back to 2008 or 2005, an archive of Flash Flood Warnings goes back to 2002 or so, and Tornado / Severe Thunderstorm Warnings goes back to 1986\n\n## Justification for processing\n\nNWS issued WWA alerts are an important environmental hazard dataset and has broad interest in the research and insurance industries. Even in 2017, there are very few places that you can find long term archives of this information in usable formats.\n\n## Other Sources of Information\n\nThe [National Center for Environmental Information](https://www.ncei.noaa.gov) has raw text product archives that do not contain processed atomic data of the actual WWA alerts. So the user is left to the adventure of text parsing the products. Otherwise, it is not clear if any other archive exists on the Internet of this information.\n\n## Processing and Quality Control\n\nThe [pyIEM](https://github.com/akrherz/pyIEM) python package is the primary code that does the text parsing and databasing of the WWA products. A large number of unit tests exist against the various variations and quirks found with processing the WWA data stream since the mid 2000s. New quirks and edge cases are still found today with minor corrections made to the archive when necessary. The IEM continuously alerts and annoys the NWS when various issues are found, hoping to get the NWS to correct their products. While it has been a long and frustrating process, things do eventually get fixed leading to more robust data archives.\n\nThe pyIEM parsers send emails to the IEM developer when issues are found. The parser alerts when the following errors are encountered:\n\n* VTEC Event IDs (ETNs) being used that are out of sequential order.\n* Warning product segments are missing or have invalid Universal Geographic Code (UGC) encoding\n* Product segment has invalid VTEC encoding\n* Polygons included in the warning are invalid or counterclockwise\n* Timestamps are formatted incorrectly\n* The UGC / VTEC sequence of a particular product contains logical errors, for example a UGC zone silently drops out or into a warning.\n* Products are expired outside of the acceptable temporal bounds\n* Any other type of error and/or code bug that caused a processing fault\n\n## Frequently Asked Questions\n\n1. Please fully describe the schema used within the downloaded shapefiles.\n\n Grab some coffee and headache medicine as I am going to try to explain how the IEM processes these events into the database. The first concept to understand is that when the NWS issues a Watch, Warning, Advisory (WaWA) event, this event undergoes a lifecycle. The NWS can issue updates that modify the start and end times of the event and the spatial extent of the event. They can also do upgrades on the event, for example moving from a watch into a warning. The IEM database does not necessary fully document the event's lifecycle, but provides the metadata for the last known state of the event.\n\n For the context of IEM provided shapefiles, here is a discussion of what each DBF column represents. We will go into an example afterwards attempting to illustrate what each column means.\n\n But first, the timestamps. The presented timestamps are always in UTC timezone. The timestamp is represented by a 12 character string in the form of year, month, day, 24-hour,minute. To my knowledge, there is no timestamp data type in DBF, so this is the pain we have to live with.\n\n | DBF Column | Type | Description |\n| ------------- | ------------- | ----- |\n| WFO | 3 Char | This is the three character NWS Office/Center identifier. For CONUS locations, this is the 4 character ID dropping the first `K`. For non-CONUS sites, this is the identifier dropping the `P`. |\n| ISSUED | 12 Char | This timestamp represents the start time of the event. When an event's lifecycle begins, this issued value can be updated as the NWS issues updates. The value presented represents the last known state of the event start time.|\n| EXPIRED | 12 Char | Similiar to the ISSUED column above, this represents the products event end time. Again, this value is updated as the event lifecycle happens with updates made by the NWS. |\n| INIT_ISS | 12 Char | This is timestamp of the NWS Text Product that started the event. This timestamp is important for products like Winter Storm Watch, which have a begin time a number of days/hours into the future, but are typically considered to be in effect at the time of the text product issuace. Yeah, this is where the headaches start. This timestamp can also be used to form a canonical URL back to the IEM to fetch the raw NWS Text for this event. It is __not__ updated during the event's lifecycle. |\n| INIT_EXP | 12 Char | Similiar to `INIT_ISS` above, this is the expiration of the event denoted with the first issuance of the event. It is __not__ updated during the event's lifecycle. |\n| PHENOM or TYPE | 2 Char | This is the two character NWS identifier used to denote the VTEC event type. For example, `TO` for Tornado and `SV` for Severe Thunderstorm. A lookup table of these codes exists [within pyiem library](https://github.com/akrherz/pyIEM/blob/main/src/pyiem/nws/vtec.py). |\n| SIG | 1 Char | This is the one character NWS identifier used to denote the VTEC significance. The same link above for `PHENOM` has a lookup table for these. |\n| GTYPE | 1 Char | Either `P` for polygon or `C` for county/zone/parish. The shapefiles you download could contain both so-called storm-based (polygon) events and traditional county/zone based events. |\n| ETN | Int | The VTEC event identifier. A tracking number that should be unique for this event, but sometimes it is not. Yes, more headaches. Note that the uniqueness is not based on the combination of a UGC code, but the issuance center and a continuous spatial region for the event. |\n| STATUS | 3 Char | The VTEC status code denoting the state the event is during its life cycle. This is purely based on any updates the event got and not some logic on the IEM's end denoting if the event is in the past or not. |\n| NWS_UGC | 6 Char | For county,zone,parish warnings `GTYPE=C`, the Universal Geographic Code that the NWS uses. Sadly, this is not exactly FIPS. |\n| AREA_KM2 | Number | The IEM computed area of this event, this area computation is done in Albers (EPSG:9311). |\n| UPDATED | 12 Char | The timestamp when this event's lifecycle was last updated by the NWS. |\n| HV_NWSLI | 5 Char | For events that have H-VTEC (Hydro VTEC), this is the five character NWS Location Identifier. |\n| HV_SEV | 1 Char | For events that have H-VTEC (Hydro VTEC), this is the one character flood severity __at issuance__. |\n| HV_CAUSE | 2 Char | For events that have H-VTEC (Hydro VTEC), this is the two character cause of the flood. |\n| HV_REC | 2 Char | For events that have H-VTEC (Hydro VTEC), this is the code denoting if a record crest is expected __at issuance__. |\n| EMERGENC | Boolean | Based on unofficial IEM logic, is this event an \"Emergency\" at any point during its life cycle. |\n| POLY_BEG | 12 Char | In the case of polygons (GTYPE=P) the UTC timestamp that the polygon is initially valid for. |\n| POLY_END | 12 Char | In the case of polygons (GTYPE=P) the UTC timestamp that the polygon expires at. |\n| HAILTAG | Number | The IBW hail size tag (inches). This is only included with the (GTYPE=P) entries as there is a 1 to 1 association between the tags and the polygons. If you do not include SVS updates, it is just the issuance tag. |\n| WINDTAG | Number | The IBW wind gust tag (MPH). See HAILTAG. |\n| TORNTAG | 16 Char | The IBW tornado tag. See HAILTAG. |\n| DAMAGTAG | 16 Char | The IBW damage tag. See HAILTAG. |\n| PROD_ID | 36 Char | Issuance text. IEM identifier used to uniquely (99% of the time) identify NWS Text Products. The value can be passed to ``https://mesonet.agron.iastate.edu/p.php?pid=PROD_ID`` for a website viewer or against the IEM API service ``https://mesonet.agron.iastate.edu/api/1/nwstext/PROD_ID``. |\n| FCSTER | 24 Char | The product signature, which is often the forecaster who\nissued the event. |\n\n1. I notice entires with an `expire` timestamp before the `issue` timestamp. How can this be?\n\n Oh my, buckle up for some confusion. The first point in this space is that our database\n represents the most recent snapshot of the given VTEC event during its life cycle. The\n life cycle includes the issuance to its death via a cancels, expiration, or\n upgrade to a different VTEC event.\n\n To illustrate the evolution of the database fields with a VTEC event lifecycle,\n please consider this example. At noon on 19 March 2019, NWS Des Moines `wfo=DMX` issues a Winter Storm Watch `phenom=WS` `sig=A` for Story County (`nws_ugc=IAZ048`). This watch goes into effect at 6 PM (tomorrow, 20 March) until 6 AM 21 March. The storm is a day away yet... The database entry looks like so:\n\n | STATUS | ISSUE | INIT_ISS | EXPIRE | INIT_EXP |\n| --- | --- | --- | --- | --- |\n| NEW | 201903202300 | 201903171700 | 201903211100 | 201903211100 |\n\n Now tomorrow comes and the NWS needs to decide what to do with the watch prior to 6 PM, since these type of\n watches can not reach their issuance time without either being cancelled or upgraded. So at 5 PM, the NWS\n decides to issue a Winter Storm Warning. Now the database entry for the __watch__ looks like so:\n\n | STATUS | ISSUE | INIT_ISS | EXPIRE | INIT_EXP |\n| --- | --- | --- | --- | --- |\n| UPG | 201903202300 | 201903171700 | __201903202200__ | 201903211100 |\n\n See how the `EXPIRE` column is now less than the `ISSUE` column, but the `INIT_ISS` and `INIT_EXP` columns\n are unchanged to hopefully help the end user deal with this situation. You have life choices to make on\n how to deal with this situation.\n\n In general, the watch _practically_ is in effect once the NWS issued it, regardless of when the actual bad\n weather is going to start. So the recommendation is to use the `INIT_ISS` column as the watch start time\n and the `EXPIRE` as the watch end time, but this logic is totally at your discretion.\n\n1. How do Severe Thunderstorm, Flash Flood, or Tornado warnings have VTEC codes for dates prior to implementation?\n\n Good question! A number of years ago, a kind NWS manager provided a database dump of their curated WWA archive for dates between 1986 and 2005. While not perfect, this archive was the best/only source that was known at the time. The IEM did some logic processing and attempted to back-compute VTEC ETNs for this archive of warnings. The database was atomic to a local county/parish, so some logic was done to merge multiple counties when they spatially touched and had similiar issuance timestamps. Again from the above, automated machine parsing of the raw text is next to impossible. The ETNs were assigned as a convience so that various IEM apps and plots would present this data online.\n\n1. The database has Weather Forecast Offices (WFOs) issuing WWA products for dates prior to the office even existing? How can this be!?!?\n\n Yeah, this is somewhat poor, but was done to again provide some continuity with current day operations. The archive database provided to the IEM did not contain the issuance forecast office, so without a means to properly attribute these, the present day WFOs were used. This issue is rarely raised by IEM users, but it is good to document. Maybe someday, a more authoritative archive will be made and these old warnings and be assigned to the various WSOs, etc that existed at the time.\n\n1. What are the VTEC phenomena and significance codes?\n\n The phenomena code (two characters) and significance code (one character) denote the particular WWA hazzard at play with the product. The [NWS VTEC Site](https://www.weather.gov/vtec/) contains a one pager PDF that documents these codes. The NWS uses these codes to color encode their WAWA Map found on their homepage. You can find a lookup reference table of these codes and colors, [see pyiem library](https://github.com/akrherz/pyIEM/blob/main/src/pyiem/nws/vtec.py).\n\n1. How do polygon warnings exist in the IEM archive prior to being official?\n\n The NWS offices started experimenting with polygons beginning in 2002. These polygons were included with the warnings, but sometimes were not geographically valid and/or leaked well outside of a local office's CWA bounds. On 1 October 2007, these polygons became the official warning for some VTEC types. In general, the IEM's data ingestor attempts to save these polygons whenever found.\n\n1. What is the source of Alaska Marine VTEC events?\n\n For various convoluted reasons, Alaska WFOs do not issue full blown VTEC\n enabled products for their Marine Zones. Instead, somewhat cryptic headlines\n are generated within their `CWF` and `OFF` products that create faked VTEC\n events for their marine zones. On 4 January 2025, the IEM created a workflow\n that attempts to process these into somewhat spatial/temporally coherent\n VTEC events. At the time, an evaluation was done on a similar fake VTEC\n generation that was being done by the NWS within its CAP messages. This was\n found to be lacking due to very crude event identifier generation.\n\n So the IEM processing runs in real-time and these events were backfilled into\n years dating back to 2005. Further back processing was not straight forward\n due to complexities with the raw text.\n\n Some processing quirks include VTEC events are not permitted to cross year\n boundaries and there is no \"in the future\" logic that attempts to glean from\n the text if the given event is not yet active. Rewording, if the `CWF` or\n `OFF` text says \"Gale Warning\", the assumption is that the \"Gale Warning\" is\n now in effect.\n" }, { "path": "docs/deployment/vendor-static-assets.md", "content": "# Vendor Static Assets Deployment\n\nThis document explains how assets under /vendor/ are provided to the webroot.\n\n## Why This Exists\n\nA number of IEM maintained repos use common javascript / CSS libraries. Since\nit is nice to do offline development and for patching, a simple github vendor\nrepo is maintained and synced to /opt/vendor within the webfarm nodes.\n\n## Source of Truth\n\n- Upstream repo: [akrherz/vendor](https://github.com/akrherz/vendor)\n- Version pinning policy: None\n- Integrity/verification policy: None\n\n## Provisioning Model\n\n1. The github repo is cloned to /opt/vendor\n2. That same repo contains an apache configuration snippet that mounts the\n repo to answer /vendor/ URLs within other repos.\n\n## Validation\n\nIt is safe for code review to assume resources are properly references with\n/vendor/ mounted URI paths.\n" }, { "path": "docs/meetings.md", "content": "Assorted Meeting Notes\n=====\n\n14 Jan 2020 Dr Takle, Iowa Climate Assessment\n----\n\n- Seeking to have first Iowa specific climate assessment report made\n- Just to note that Iowa is one of the few states without sig orography\n- maps can be of trends in the 9 climate regions\n- orography allows us to downscale more easily (?)\n- [ ] would like to see some sort of humidity variable in climodat\n- review Indiana's well done assessment\n- Seek a report on Iowa's current human health related to climate\n- would be nice to talk some about ozone, but am unsure of data sources\n\n30 Aug 2018 Monsanto\n-----\n\n- Taylor, Todey, Arritt, Dohleman, Colman\n- 10-11 Oct in St Louis is the ag-mesonets workshop\n- Dicamba label says to not spray in an inversion\n- when forecast probabilities are <10% or >90%, accuracy is 93%\n- code for spraying app is in the public domain\n- sprayer height is 24 inches above canopy\n- spraying in the morning goes with the probabilities, not so in afternoon\n- app has some spraying metadata management help\n- does logging of the pin drops exist, likely not\n- hours below temperature per year would be helpful\n- wind speed does not fully descriminate inversion presence\n\n29 Mar 2016 Syngenta Discussion at Slater\n----\n\n- Joe Colleti, Bill Bevis, Kendall Lamkey, Joe Byrun, Greg Dudan, Homer Coden\nJosh Larson, Paul Travis, Danny Sign, Jim Reece, Tom Warner, Chad Geater\nCraig Davis, Mike Lorsan, Caroline Lawrence, James Coyle\n- Conference calls left off with need to resolve access and mechanics of how\nthis would work out.\n- Syngenta has roughtly relationships with 15-20 Universities per 12-18 months\n- Never known transfer of actual data to another university though\n- Discussion about what the NSF funded midwest data hub looks like\n- It has 8 spokes, one of which is digitial Ag, another is Food, Energy, Water\n- The hub has the hope of collaborating with industry partners\n- the hub is a blanket umbrella for other projects to get funded with\n- The IP rights of such a collaboration are not necessarily defaulted to ISU\n- The hope is to get the lawyers to approve of this activity only once\n- There are two proposals in consideration as a part of the data hub spoke\n- USDA has a new foundation called FAR to fund stuff\n- NSF proposal cycle has deadlines for next Jan, Feb\n- the hope is that these proposals would be coming from blessing by the hub\nspokes and not rouge proposals\n- There are always proposal deadlines for things to consider\n- There are collaboration opportunities withe computer engineering and others\nto deal with computational tasks\n- Need to have a means to lure faculty into this that may have an interest\n- Syngenta has interest in persuing external funding\n- We'll be having breakouts today to further discuss things\n- I went to the Environmental Data Group with Joe Colleti and Chad Geater\n- Field weather stations have standard variables\n- They use gridded 0.25 degree data from the ECMWF (proprietary)\n- need to tease out drought tolerance variables from obs\n- unsure what exists for soybean data\n- a recent push was to push for GPS coordinates on all their data\n- Unsure what management data exists\n- they may have some soil temperature data\n- an issue is finding agreement between environmental datasets\n- Data needed depends on the science, or is it vice versa\n- A key aspect is where the compute runs that has to access the data\n- Likely can not determine logistics today\n- Not all of their data is relational, in fact, likely not even a majority\n- What is the quality of metadata?\n- They are working on data tagging.\n- Some of the datasets have changes in how the data was observed over the years\n- Would it be good to embed people within each institution to help with this\ncollaboration?\n- A vast majority of the data would take effort to move and curate, not ready\n- Lots of data already exists, no energy to start processing it\n- Cateloging the data is a big time sync\n- talk about a project called G2F taking field measurements\n- G2F is having good luck with standardizing protocols\n- Need to make sure questions being posed are not redundant between groups\n- There is a some NSF data hub meeting on May 15-16\n- Do ISU corn and soybean faculty currently collaborate? Sort of.\n- Not everybody at ISU is into team science :)\n- Talk about the structure of an ISU / Syngenta symposium\n" }, { "path": "docs/nmp.md", "content": "National Mesonet Project Meetings\n======\n\n25 Jan 2017 SGT Conference call at AMS Seattle\n----\n\n- Background of SGT, primarly with NASA (400 out of 550m $US)\n- South Alabama Mesonet presentation\n- Florida AWN presented some details on their network\n- reliability reports are not on calendar months, but period of days\n- adding new stations does not mean an immediate increase in funding\n" }, { "path": "docs/soilmoisture.md", "content": "Soil Moisture Network Meeting Notes\n===================================\n\n17 May 2021 :: Planning with new hire Mark\n-----\n\n- [x] \"Hourly Radiation\" on pulldown is vague.\n- [ ] Frozen Soil on Sortable Currents is in poor taste.\n- There's a new Fruit + Vegetable hire coming, which may take over vineyards.\n- Decided to barry the soilvue to 12 inches depth and place a reflectometer\nat the 4inch depth.\n- [ ] no close icon on the popup for homepage map\n- [x] daily precip plotting does not work\n\n13 Jan 2020 :: Planning meeting with Dr Lamkey\n----\n\n- Continued desire to get time with the farm managers\n- Dr Honeyman appears to be onboard with 1/2 weather station replacement\n- \"Redesign Iowa Agriculture\" is a theme to hit on.\n- Small companies in Iowa are the ones that will use our data the most.\n- Look into what the Iowa Flood Center is doing for water table obs.\n- Discussion of proposing 6 positions for the Iowa Weather Network.\n- Should also target livestock industry in the state.\n- [ ] remove the county colors from the map.\n- [ ] only show stations on the map that have longer term data?\n- [ ] look into the 1977 drought in Story County.\n- Make plots of heat index and stress changes over the years.\n\n17 Dec 2019 :: Meeting with Dr Lamkey\n----\n\n- Weather data is important to Ag Research and we need to emphasis that.\n- Dr Lamkey discussed replacing Ethan with Dr Honeyman, who is on board.\n- There is experiment station money that needs to be spent on research.\n- Dr Lamkey would like to see more monetization of the IEM.\n- Discussion of previous inversion station efforts.\n- [ ] create a one pager describing the usage of IEM/ISUSM\n- Will provide the one pager to the Dean, who may wish to promote it.\n- Dr Lamkey wishes we not concentrate on implementation, but request a budget.\n- People think NOAA stations are enough, one pager to show otherwise.\n- Discussion of new Dr Taylor position and how that may work out.\n- Tie in Climate Smart Ag.\n- Loop in USCRN?\n- Have a grad student do research / station maintenance next summer.\n\n15 Aug 2019 :: Vineyard Station Meeting\n----\n\n- Jim Schraeder uses my stuff a bunch already\n- [ ] Send some example ISU Farm cooperator agreements for their review\n- Kenny McCabe installed the stations and still is on campus somewhere\n- [ ] product they use is hours of wetness per week\n- [ ] add comments to excel headers for easier usage\n\n7 Feb 2018\n----\n\n- Hornbuckle, Flory, Ethan, Vanloocke\n- Add vineyard station modems to the quote\n- Add cooperator stations modems to the quote\n- place the 6 Dr Todey sensors on 3 towers to replicate current towers\n- Maybe our inversion station is slightly over 5K\n- Campbell will announce pricing soon on the SoilVue10\n\n23 Jan 2018\n----\n\n- Hornbuckle, Flory, Ethan, Vanloocke\n- Discussion on budgeting the $36K we have to spend on the sensors\n 1 need to replace the modems\n 2 need to buy some parts for Ethan\n 3 Inversion stations with target of 5K per station\n- [ ] daryl writes up the proposal and gives options needed.\n\n20 Mar 2017\n----\n\n- Archontoulis, Goode, Ethan, KenP(Nashua), VanLoocke, Berns, Taylor, Flory\n- Mark Honeyman was unable to attend\n- The remaining vineyard station modems are in Flory's Office\n- Discussion on what to do with the precipitation sensors and if we should\nadd a second at each site. Will be adding a second at AEA Farm to test\n- [ ] Need to make a correction to Sutherland's precip in 2013\n- [ ] convert yieldfx reports back to a basis of COOP data\n- Dr Taylor noted that proximity to power lines help shield the stations\nfrom lightning\n- [ ] engage Dr Honeyman again about automating precip report for farm sites\nthat don't do COOP reporting\n\n25 Aug 2016\n-----\n\n- Tim Goode, Mark Honeyman, Ethan, Archontoulis, VanLoocke, Arritt, Cochran\n- Lots of discussion on the 5 vineyard stations, some highlights\n- currently in boxes, purchased in June\n- would like to spread them out over the state\n- have leaf wetness sensors\n- They will likely not be under bare soil\n- discussion on how these stations can be used for frost protection(?), this\n was not fully clear to me, but it would involve some aux forecast data\n- the soils are high pH, but not necessily sandy\n- they have the same cell modems\n- still have to resolve where they are putting soil moisture sensors\n- [x] email Flory and gauge interest on this matter\n- discussion of placing a new sensor on a farm of interest NE of Ames\n- is the new station at Marcus too close to others?\n\n29 Jun 2016\n----\n\n- Tim Goode, Mark Honeyman, Ethan, Flory, Archontoulis, Taylor, Vanloocke.\n Arritt\n- Dr Honeyman has a draft agreement that was worked on with legal council\nfor the sites that are on private farms\n- Dr Taylor expressed a need to start replacing the wind sensors soon\n- He has a spot in mind (Marcus, IA) for the current unused station\n- Discussion about how soil moisture calibration is done in Oklahoma and\nhow we could apply it here\n- They take two samples down to 5ft and then do gravimetric\n- Dr Taylor believes that we don't need per-site logger program calibrations\nof the sensors, errors are within 2%\n- Flory is going to look into multiplexors\n- [ ] daryl's TODO item on replacing winter precip was discussed again\n- Voted to have a bare soil requirement, Dr Honeyman will email out the group\n- We can likely increase the reporting interval as the timing and bandwidth\nexists\n- The door was opened again for having the Hort/Vineyard stations join the\nnetwork\n- Discussion on what the Iowa Flood Center is deploying for soil moisture\nstations.\n\n9 Jun 2016\n----\n\n- Tim Goode, Mark Honeyman, Ethan, Flory, Archontoulis, Lamkey\n- Discussion of the new vineyard stations and likely not to include them at\nthis time\n- I raised the need for 5-15 minute data and was wondering about the cell\nphone bill and if it could support more frequent data\n- Need to look into a legal aggreement with the private farm weather stations\nas the lat/lons are published for them\n- Need to decide if bare soil would be maintained for sites for the 4 inch\nsensor.\n- Need coefficients for each site so to get accurate soil moisture data\n- perhaps the soil moisture data should be removed from the website until\nthis issue is resolved...\n- [ ] daryl should implement a replacement of the winter time precip so to\nallow for more complete data\n- [x] change the alerting threshold for offline alerts as they are being\nignored by others\n- Ethan is funded 100% now from Experiment Station, so can work on this\n- [ ] create electronic version of the checklist for stations to do\n- Email Tim and Ethan on issues at the same time.\n" }, { "path": "docs/yieldproject.md", "content": "FACTs Project Meeting Notes\n========\n\n26 Jun 2019 Archontoulis Angelos\n----\n\n- For next year, the PSIMs domain may expand to MN and NE\n- [ ] akrherz/iem#199 can we move IEMRE to the database to make it faster\n- [ ] would like to launch a crop dry down app by Aug 3\n- Instead of providing average RH, I could just provide daily min/max\n- [ ] produce a map showing RH computation bias by averaging method\n- [ ] NASA POWER has a RH field I could potentially use\n- [ ] daymet allow maybe has a RH field I could use\n\n23 May 2019 Archontoulis Isaiah\n----\n\n- [ ] CFS may have some strange issues around cold days < 40F\n- [x] Send Angelo new map addresses\n- [x] Take location labels off the map\n- [x] Plot Magnitude of GDD departure\n\n2 May 2019 Archontoulis\n----\n\n- [ ] he wants CFS radiation capped at 31 MJ/d\n- Plan is to push weekly update at 9 AM Wednesday, so runs made on Tuesday\n- [ ] Deliver a WPC Map of forecasted 7 day precipitation\n- [x] GDD departures over the coming week\n- [x] next week daily max temperature and daily min temperature\n- [ ] create a pyIEM zoom for the corn belt, IA->IN\n- [ ] PSIMs yearly scenario substitions, like what is done for station data\n\n5 Apr 2019 Archontoulis, Angelos, Isaiah, one other\n----\n\n- The regional interest this year is IA, IL and IN\n- [ ] investigate NASA Power and see how difference its radiation is\n- There are three deliverables they want\n- [x] Static 1980-2018 PSIMs files, like I generated last year\n- [x] four routinely updated PSIMs files, one for each CFS 9 mon realization\n- [ ] scenarios with all years substituted. This may be too much data for\n them, so lower priority for now.\n\n5 Jan 2017 Dr Archontoulis\n----\n\n- Review Nov 1 to today plot, to ensure it is doing the right thing\n- [ ] remove the march 15 to today plot, not used\n- [ ] Add NASS county yield somehow to the aridity x/y plot\n- A new folder was created at dropbox for the uploads to go to\n\n11 Apr 2016 Dr Archontoulis\n----\n\n- He now has 6 files processed up until 23 March, wants data till 30 Nov\n- March 15th start date for the various GDD, etc plots\n- For the future scatter, just make it a cloud with some lines in it\n- Would like to use dropbox for sharing files\n- Add a GDD column and others for the APSIM met file\n- FIX: the units of the soil moisture shown in the download page\n- Will want me to produce a differently formatted file later in July\n- He wants 4 days of forecast data\n- Output file name is Ames_YYYYmmdd.met\n\n24 Mar 2016 Dr Archontoulis\n----\n\n- Discuss my involvement with the yield forecasting project\n- Dr Helmers Cobbs site will be sending hourly precip data my way\n- They have a good web developer, so I am just wrangling data\n- I need to look at a dataset called agmerra\n- So the complicated routine about producing a 1980-2015 weather data file\nthat has this year's data + forecast replacing that year's period. Then the\nrest of the year is simply taking that old year's data. I'll automate this\n- Look into usage of GFS + CFS for forecast data\n- There are six sites in play\n" }, { "path": "environment.yml", "content": "dependencies:\n # NB: these are requirements of code in this repo\n # autoplot uses\n - affine\n # pytest\n - beautifulsoup4\n # don't download stuff\n - cartopy_offlinedata\n # command line\n - click\n # pytest\n - coverage\n # mastodon iembot page\n - cryptocode\n # ?help support\n - docutils\n # one wxc script\n - ephem\n # various places\n - fiona\n # various places\n - gdal\n # TC backend\n - gunicorn\n - libgdal-pg\n # ISUSM ingest\n - inotify\n # For grib to TIFF conversion\n - libgdal-grib\n # important\n - geopandas\n # Get stuff\n - httpx\n # mrms script\n - imageio\n # Unknown problem with netCDF4 not loading\n - libnetcdf=4.9\n # soft requirement for pandas\n - lxml\n - mastodon.py\n - matplotlib-base\n # various places\n - metar\n # duh\n - metpy>=1.0.0\n # yup\n - netcdf4\n # Transient dep for pyIEM, which is pip installed\n - nh3\n # yup\n - numpy\n # racoon\n - odfpy\n # Complicated dep need for iemwebfarm mod_wsgi usage\n - openldap\n # excel output\n - openpyxl\n # due to config settings\n - pandas>=3\n # mod-wsgi\n - paste\n # PIL\n - pillow\n # for downstream installs\n - pip\n # for psql and friends\n - postgresql\n # database\n - psycopg\n # for pyiem\n - pyarrow\n # validation\n - pydantic\n # lots of places\n - pygrib\n # caching\n - pymemcache\n # various places\n - pyproj\n # various shapefile dumpers\n - pyshp>=2\n # for testing\n - pytest\n - pytest-cov\n - pytest-httpx\n - pytest-mpl\n - pytest-runner\n - pytest-xdist\n - qrcode\n # various places\n - rasterio\n # various places\n - rasterstats\n # Can't really avoid\n - requests\n # Testing\n - responses\n # important\n - scipy\n # autoplots\n - seaborn\n # needed for downstream pip install?\n - setuptools-markdown\n # cow et al\n - shapely\n # various dumpers\n - simplejson\n - sqlalchemy\n # for streaming back zip files\n - stream-zip\n # scripts\n - tqdm\n # AHPS scripts\n - twisted\n # testing\n - werkzeug\n # need to use more\n - verde\n # Excel\n - xlsxwriter\n # Excel\n - xlwt\n" }, { "path": "eslint.config.js", "content": "// Legacy CommonJS ESLint configuration for pre-commit compatibility\nconst js = require(\"@eslint/js\");\nconst globals = require(\"globals\");\n\nmodule.exports = [\n // Configuration for ESLint config file itself (Node.js environment)\n {\n files: [\"eslint.config.js\"],\n languageOptions: {\n ecmaVersion: 2020,\n sourceType: \"script\",\n globals: {\n ...globals.node\n }\n },\n rules: {\n \"no-console\": \"off\"\n }\n },\n // Ignore other problematic files\n {\n ignores: [\"htdocs/vtec/assets/*.js\", \"htdocs/lsr/static.js\"]\n },\n js.configs.recommended,\n // Configuration for traditional script files (.js)\n {\n files: [\"**/*.js\"],\n ignores: [\"src/iemjs/**/*.js\"],\n languageOptions: {\n ecmaVersion: 2020,\n sourceType: \"script\",\n globals: {\n ...globals.browser,\n // Prohibited globals (set to false to trigger errors)\n \"$\": false,\n \"jQuery\": false,\n // Allowed globals for traditional scripts\n \"ol\": \"readonly\",\n \"Ext\": \"readonly\",\n \"iemdata\": \"readonly\",\n \"moment\": \"readonly\",\n \"flowplayer\": \"readonly\",\n \"bootstrap\": \"readonly\"\n }\n },\n rules: {\n // jQuery prohibition rules\n \"no-restricted-globals\": [\n \"warn\",\n {\n \"name\": \"$\",\n \"message\": \"jQuery should not be used. Use vanilla JavaScript instead.\"\n },\n {\n \"name\": \"jQuery\",\n \"message\": \"jQuery should not be used. Use vanilla JavaScript instead.\"\n }\n ],\n\n // Modernization hints\n \"no-restricted-syntax\": [\n \"warn\",\n {\n \"selector\": \"CallExpression[callee.property.name='substr']\",\n \"message\": \"substr() is deprecated. Use substring() or slice() instead.\"\n },\n {\n \"selector\": \"CallExpression > Identifier[name='undefined']:last-child\",\n \"message\": \"Avoid explicitly passing 'undefined' as the last argument. Omit the argument instead - it defaults to undefined.\"\n },\n // Encourage optional chaining over && in conditionals\n {\n \"selector\": \"IfStatement[test.type='LogicalExpression'][test.operator='&&'][test.right.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && for null checks before property access.\"\n },\n {\n \"selector\": \"IfStatement[test.type='LogicalExpression'][test.operator='&&'][test.right.type='CallExpression'][test.right.callee.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && for null checks before method calls.\"\n },\n {\n \"selector\": \"ConditionalExpression[test.type='LogicalExpression'][test.operator='&&'][test.right.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && in conditional expressions for property access.\"\n },\n {\n \"selector\": \"ConditionalExpression[test.type='LogicalExpression'][test.operator='&&'][test.right.type='CallExpression'][test.right.callee.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && in conditional expressions for method calls.\"\n },\n {\n \"selector\": \"IfStatement[consequent.type='BlockStatement'][consequent.body.length=1][consequent.body.0.type='ReturnStatement'][consequent.body.0.argument.type='Literal'][consequent.body.0.argument.value=true][alternate.type='BlockStatement'][alternate.body.length=1][alternate.body.0.type='ReturnStatement'][alternate.body.0.argument.type='Literal'][alternate.body.0.argument.value=false]\",\n \"message\": \"Found complex boolean return - return the boolean expression directly instead of if/else with true/false.\"\n },\n {\n \"selector\": \"IfStatement[consequent.type='ReturnStatement'][consequent.argument.type='Literal'][consequent.argument.value=true][alternate.type='ReturnStatement'][alternate.argument.type='Literal'][alternate.argument.value=false]\",\n \"message\": \"Found complex boolean return - return the boolean expression directly instead of if/else with true/false.\"\n },\n {\n \"selector\": \"TemplateLiteral[expressions.length=0]\",\n \"message\": \"Template Literal Found - use single quotes instead of template literals when no interpolation is needed.\"\n }\n ],\n\n // Code quality\n \"curly\": [\"error\", \"all\"],\n \"eqeqeq\": \"error\",\n \"no-console\": \"warn\",\n \"no-debugger\": \"error\",\n \"one-var\": [\"error\", \"never\"], // Require one variable declaration per line\n \"init-declarations\": [\"error\", \"always\"], // Require variables to be initialized when declared\n \"object-shorthand\": \"warn\", // Use shorthand property syntax for object literals (e.g., {foo} instead of {foo: foo})\n\n\n // Variable shadowing detection\n \"no-shadow\": [\"error\", {\n \"builtinGlobals\": false,\n \"hoist\": \"functions\",\n \"allow\": [\"err\", \"error\", \"resolve\", \"reject\", \"cb\", \"callback\", \"done\"]\n }],\n\n // Duplicate assignment detection\n \"no-self-assign\": \"error\",\n \"no-sequences\": \"error\",\n \"no-unreachable\": \"error\",\n\n // Block-scoped declarations\n \"no-inner-declarations\": [\"error\", \"both\"], // Function or var declarations in nested blocks is not preferred\n\n // Additional code quality rules to catch common issues\n \"no-implicit-coercion\": \"warn\",\n \"no-return-assign\": \"error\",\n \"array-callback-return\": \"error\",\n \"no-unused-expressions\": [\"error\", { \"allowShortCircuit\": true, \"allowTernary\": true }],\n \"prefer-arrow-callback\": \"warn\", // Consider using arrow functions for callbacks\n \"prefer-template\": \"warn\", // Template Literal Found - use template literals instead of string concatenation\n \"prefer-const\": \"warn\", // Use const declarations for variables that are never reassigned\n \"default-case\": \"warn\", // No default cases in switch statements\n \"complexity\": [\"warn\", { \"max\": 15 }], // Function with cyclomatic complexity higher than threshold\n \"no-unused-vars\": [\"warn\", {\n \"vars\": \"all\",\n \"args\": \"after-used\",\n \"ignoreRestSiblings\": false,\n \"argsIgnorePattern\": \"^_\",\n \"varsIgnorePattern\": \"^_\",\n \"caughtErrors\": \"all\"\n }], // Found unused objects\n\n // Avoid usage of `this` in JavaScript code (IEM rule)\n \"no-invalid-this\": \"error\",\n \"consistent-this\": [\"error\", \"self\"],\n \"class-methods-use-this\": \"warn\", // Warn when class methods don't use `this` and could be static\n\n // Disable some rules that might be too strict for legacy code\n \"no-redeclare\": \"off\"\n }\n },\n\n // Configuration for ES modules (.module.js and IEM utilities)\n {\n files: [\"**/*.module.js\", \"src/iemjs/**/*.js\"],\n languageOptions: {\n ecmaVersion: 2022,\n sourceType: \"module\",\n globals: {\n ...globals.browser\n }\n },\n rules: {\n // Base ES5+ compliance rules\n \"no-var\": \"error\",\n\n // jQuery prohibition rules\n \"no-restricted-globals\": [\n \"error\",\n {\n \"name\": \"$\",\n \"message\": \"jQuery should not be used. Use vanilla JavaScript instead.\"\n },\n {\n \"name\": \"jQuery\",\n \"message\": \"jQuery should not be used. Use vanilla JavaScript instead.\"\n }\n ],\n\n // Modern JavaScript preferences (more strict for modules)\n \"prefer-arrow-callback\": \"error\",\n \"prefer-template\": \"error\",\n \"prefer-const\": \"error\", // Use const declarations for variables that are never reassigned\n \"object-shorthand\": \"error\",\n \"no-return-await\": \"error\", // Prevent unnecessary return await (performance issue)\n\n\n // Deprecated method warnings for modules too\n \"no-restricted-syntax\": [\n \"warn\",\n {\n \"selector\": \"CallExpression[callee.property.name='substr']\",\n \"message\": \"substr() is deprecated. Use substring() or slice() instead.\"\n },\n {\n \"selector\": \"ArrowFunctionExpression > AssignmentExpression\",\n \"message\": \"Avoid assignment operations in arrow function implicit returns. Use block statements with curly braces for side effects.\"\n },\n {\n \"selector\": \"CallExpression > Identifier[name='undefined']:last-child\",\n \"message\": \"Avoid explicitly passing 'undefined' as the last argument. Omit the argument instead - it defaults to undefined.\"\n },\n {\n \"selector\": \"IfStatement[test.type='LogicalExpression'][test.operator='&&'][test.left.type='Identifier'][test.right.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && for null checks before property access.\"\n },\n {\n \"selector\": \"IfStatement[test.type='LogicalExpression'][test.operator='&&'][test.left.type='Identifier'][test.right.type='CallExpression'][test.right.callee.type='MemberExpression']\",\n \"message\": \"Use optional chaining (?.) instead of && for null checks before method calls.\"\n },\n {\n \"selector\": \"IfStatement[consequent.type='BlockStatement'][consequent.body.length=1][consequent.body.0.type='ReturnStatement'][consequent.body.0.argument.type='Literal'][consequent.body.0.argument.value=true][alternate.type='BlockStatement'][alternate.body.length=1][alternate.body.0.type='ReturnStatement'][alternate.body.0.argument.type='Literal'][alternate.body.0.argument.value=false]\",\n \"message\": \"Found complex boolean return - return the boolean expression directly instead of if/else with true/false.\"\n },\n {\n \"selector\": \"IfStatement[consequent.type='ReturnStatement'][consequent.argument.type='Literal'][consequent.argument.value=true][alternate.type='ReturnStatement'][alternate.argument.type='Literal'][alternate.argument.value=false]\",\n \"message\": \"Found complex boolean return - return the boolean expression directly instead of if/else with true/false.\"\n },\n {\n \"selector\": \"TemplateLiteral[expressions.length=0]\",\n \"message\": \"Template Literal Found - use single quotes instead of template literals when no interpolation is needed.\"\n }\n ],\n\n // Code quality\n \"curly\": [\"error\", \"all\"],\n \"eqeqeq\": \"error\",\n \"no-console\": \"warn\",\n \"no-debugger\": \"error\",\n \"one-var\": [\"error\", \"never\"], // Require one variable declaration per line\n \"init-declarations\": [\"error\", \"always\"], // Require variables to be initialized when declared\n\n // Variable shadowing detection\n \"no-shadow\": [\"error\", {\n \"builtinGlobals\": false,\n \"hoist\": \"functions\",\n \"allow\": [\"err\", \"error\", \"resolve\", \"reject\", \"cb\", \"callback\", \"done\"]\n }],\n\n // Duplicate assignment detection\n \"no-self-assign\": \"error\",\n \"no-sequences\": \"error\",\n \"no-unreachable\": \"error\",\n\n // Block-scoped declarations\n \"no-inner-declarations\": [\"error\", \"both\"], // Function or var declarations in nested blocks is not preferred\n\n // Additional code quality rules (stricter for modules)\n \"no-implicit-coercion\": \"error\",\n \"no-return-assign\": \"error\",\n \"array-callback-return\": \"error\",\n \"no-unused-expressions\": [\"error\", { \"allowShortCircuit\": true, \"allowTernary\": true }],\n \"require-await\": \"error\", // Async functions must contain await expressions\n \"default-case\": \"error\", // No default cases in switch statements\n \"complexity\": [\"error\", { \"max\": 15 }], // Function with cyclomatic complexity higher than threshold\n \"no-unused-vars\": [\"error\", {\n \"vars\": \"all\",\n \"args\": \"after-used\",\n \"ignoreRestSiblings\": false,\n \"argsIgnorePattern\": \"^_\",\n \"varsIgnorePattern\": \"^_\",\n \"caughtErrors\": \"all\"\n }], // Found unused objects\n\n // Avoid usage of `this` in JavaScript code (IEM rule)\n \"no-invalid-this\": \"error\",\n \"consistent-this\": [\"error\", \"self\"],\n\n // Disable some rules that might be too strict\n \"no-redeclare\": \"off\"\n }\n },\n\n // Configuration for test files - allow console usage for test output\n {\n files: [\"**/tests/**/*.js\", \"**/*.test.js\", \"**/*.spec.js\"],\n languageOptions: {\n globals: {\n ...globals.node // Add Node.js globals like process, Buffer, etc.\n }\n },\n rules: {\n \"no-console\": \"off\", // Console output is essential for test feedback\n \"require-await\": \"off\", // Test runners often have async functions with await in loops\n \"complexity\": [\"error\", { \"max\": 30 }], // Function with cyclomatic complexity higher than threshold\n }\n }\n];\n" }, { "path": "htdocs/.well-known/ai-plugin.json", "content": "{\n \"schema_version\": \"v1\",\n \"name_for_human\": \"IEM Plugin\",\n \"name_for_model\": \"iem\",\n \"description_for_human\": \"Plugin for working with IEM data.\",\n \"description_for_model\": \"Plugin for working with IEM data.\",\n \"auth\": {\n \"type\": \"none\"\n },\n \"api\": {\n \"type\": \"openapi\",\n \"url\": \"https://mesonet.agron.iastate.edu/api/1/openapi.json\",\n \"is_user_authenticated\": false\n },\n \"logo_url\": \"https://mesonet.agron.iastate.edu/images/logo_small.png\",\n \"contact_email\": \"akrherz@iastate.edu\",\n \"legal_info_url\": \"https://mesonet.agron.iastate.edu/disclaimer.php\"\n}\n" }, { "path": "htdocs/.well-known/traffic-advice", "content": "[\n {\"user_agent\": \"prefetch-proxy\", \"disallow\": true}\n]" }, { "path": "htdocs/ASOS/current.phtml", "content": "title = \"{$network} Current Conditions\";\n$t->refresh = 1200;\n$t->iemselect2 = TRUE;\n$t->current_network = \"ASOS\";\n\n$nt = new NetworkTable($network, FALSE, TRUE);\n$cities = $nt->table;\n$mesosite = iemdb('mesosite');\n$stname = iem_pg_prepare($mesosite, \"SELECT tzname from networks where id = $1\");\n$rs = pg_execute($mesosite, $stname, array($network));\nif (pg_num_rows($rs) < 1) {\n $tzname = \"America/Chicago\";\n} else {\n $row = pg_fetch_assoc($rs, 0);\n $tzname = $row[\"tzname\"];\n}\n\n$vals = array(\n \"tmpf\" => \"Air Temperature [°F]\", \"dwpf\" => \"Dew Point Temp [°F]\",\n \"sknt\" => \"Wind Speed [knots]\", \"drct\" => \"Wind Direction [deg]\",\n \"alti\" => \"Altimeter [mb]\", \"peak\" => \"Today's Wind Gust [knots]\",\n \"peak_ts\" => \"Time of Peak Gust\", \"relh\" => \"Relative Humidity\",\n \"feel\" => \"Feels Like [°F]\", \"vsby\" => \"Visibility [miles]\",\n \"ts\" => \"Observation Time\", \"phour\" => \"Last Hour Rainfall [inch]\",\n \"min_tmpf\" => \"Today's Low Temperature\", \"name\" => \"Station Name\",\n \"max_tmpf\" => \"Today's High Temperature\", \"id\" => \"Station Identifier\",\n \"skyl1\" => \"Cloud Level 1\",\n \"skyl2\" => \"Cloud Level 2\",\n \"skyl3\" => \"Cloud Level 3\",\n \"skyl4\" => \"Cloud Level 4\",\n \"pday\" => \"Today Rainfall [inch]\",\n);\nif (!array_key_exists($sortcol, $vals)) {\n $sortcol = \"name\";\n}\n\n$arr = array(\n \"network\" => $network,\n);\n$jobj = iemws_json(\"currents.json\", $arr);\n\n/* Final data array */\n$mydata = array();\n\nforeach ($jobj[\"data\"] as $bogus => $iemob) {\n $key = $iemob[\"station\"];\n $mydata[$key] = $iemob;\n $mydata[$key][\"ts\"] = new DateTime($iemob[\"local_valid\"]);\n $mydata[$key][\"sped\"] = $mydata[$key][\"sknt\"] * 1.15078;\n if ($mydata[$key][\"max_gust\"] > $mydata[$key][\"max_sknt\"]) {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_gust\"];\n if (! is_null($mydata[$key][\"local_max_gust_ts\"])) {\n $mydata[$key][\"peak_ts\"] = new DateTime($mydata[$key][\"local_max_gust_ts\"]);\n }\n } else {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_sknt\"];\n if (! is_null($mydata[$key][\"local_max_sknt_ts\"])) {\n $mydata[$key][\"peak_ts\"] = new DateTime($mydata[$key][\"local_max_sknt_ts\"]);\n }\n }\n} // End of while\n\nif ($format == 'csv') {\n $csv = \"station,valid_gmt,tmpf,max_tmpf,min_tmpf,dwpf,sknt,drct,relh,vsby,phour_in,pday_in,metar\\n\";\n foreach ($mydata as $key => $data) {\n $dt = new DateTime($data['utc_valid']);\n $csv .= sprintf(\n \"%s,%s,%.0f,%.0f,%.0f,%.0f,%.0f,%.0f,%.1f,%s,%.2f,%.2f,%s\\n\",\n $key,\n $dt->format(\"Y-m-d H:i\"),\n $data['tmpf'],\n $data[\"max_tmpf\"],\n $data[\"min_tmpf\"],\n $data['dwpf'],\n $data['sknt'],\n $data['drct'],\n $data['relh'],\n $data['vsby'],\n $data['phour'],\n $data['pday'],\n $data['raw']\n );\n }\n header(\"Content-type: text/plain\");\n echo $csv;\n die();\n}\n\n$nselect = selectNetworkType(\"ASOS\", $network);\n\n$ar = array(\n \"no\" => \"No\",\n \"yes\" => \"Yes\"\n);\n$mselect = make_select(\"metar\", $metar, $ar);\n\n$ar = array(\n \"asc\" => \"Ascending\",\n \"desc\" => \"Descending\"\n);\n$sselect = make_select(\"sorder\", $sorder, $ar);\n\n$ar = array(\n \"html\" => \"Web Page\",\n \"csv\" => \"Comma Delimited\",\n);\n$fselect = make_select(\"format\", $format, $ar);\n\n$uri = \"current.phtml?sorder=$sorder&metar=$metar&network=$network&sortcol=\";\n\n$year = date(\"Y\");\n$month = date(\"m\");\n$day = date(\"d\");\n$tkeys = array_keys($cities);\n$station = $tkeys[0];\n$table = <<\n\n \n
\n\nSelect Network: {$nselect}\n Include METARS:
{$mselect}\nSort Order: {$sselect}\nFormat: {$fselect}\n
\n\n
Times shown are for timezone: {$tzname}. The local day summary\nis based on that timezone.
Table sorted by: ({$vals[$sortcol]})\n    Click on\na column to sort it. Click on site ID for more information. You can download data from\nthis network here\nand you can view daily summaries\non this network.\n\n
\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\nEOM;\n\n$finalA = aSortBySecondIndex($mydata, $sortcol, $sorder);\n$now = time();\n$i = 0;\n$old = \"\";\n\n$domain = array_keys($nt->table);\n$online = array();\n\nforeach ($finalA as $key => $parts) {\n // Keep track of online stations\n $online[] = $key;\n $i++;\n\n $row = \"\";\n\n $tdiff = $now - strtotime($parts[\"utc_valid\"]);\n $url = sprintf(\"/sites/site.php?station=%s&network=%s\", $key, $network);\n $row .= sprintf(\"\", $url, $key);\n $row .= \"\";\n $row .= \"\";\n $old .= $row;\n continue;\n } else if ($tdiff > 7200) {\n $fmt = \"h:i A\";\n $row .= 'bgcolor=\"orange\"';\n } else if ($tdiff > 3600) {\n $fmt = \"h:i A\";\n $row .= 'bgcolor=\"green\"';\n } else {\n $fmt = \"h:i A\";\n }\n $phour = ($parts[\"phour\"] != 0.0001) ? $parts[\"phour\"] : 'T';\n $pday = ($parts[\"pday\"] != 0.0001) ? $parts[\"pday\"] : 'T';\n\n $ptmpf = ($parts[\"tmpf\"] !== null) ? myround($parts[\"tmpf\"], 0) : 'M';\n $pdwpf = ($parts[\"dwpf\"] !== null) ? myround($parts[\"dwpf\"], 0) : 'M';\n $pfeel = ($ptmpf === \"M\" || $pdwpf === \"M\" || $parts[\"feel\"] === null) ? \"M\" : myround($parts[\"feel\"], 0);\n $prelh = ($ptmpf === \"M\" || $pdwpf === \"M\" || $parts[\"relh\"] === null) ? \"M\" : myround($parts[\"relh\"], 0);\n $wxc = is_null($parts[\"wxcodes\"]) ? \"\" : str_replace(\"{\", \" \", $parts[\"wxcodes\"]);\n $row .= \">\" . $parts[\"ts\"]->format($fmt) . \"\" .\n \"\" .\n \"\n \n \n \n \n \n \";\n $row .= \"\n \n\n\n\n\n \\n\";\n if ($metar == \"yes\") {\n $row .= \"\";\n $row .= \"\n \\n\";\n }\n $table .= $row;\n}\n\n$offline = array_diff($domain, $online);\n$offline_entries = \"\";\n// loop over offline entries\nforeach ($offline as $sid) {\n $sname = $nt->table[$sid][\"name\"];\n $url = sprintf(\"/sites/site.php?station=%s&network=%s\", $sid, $network);\n $offline_entries .= sprintf(\n \"\" .\n \"\" .\n \"\\n\",\n $sid,\n $url,\n $sid,\n $sname\n );\n}\n\n$table .= $old;\n$table .= $offline_entries;\n$table .= <<\n\n
ADD:IDStationOb TimePresent WxTemps °F Wind [knots]PrecipClouds
AirHiLoDewpFeelsRH %AltiVsbySpeedDrctGust\n @ Time1 HourTodayLevel 1Level 2Level 3Level 4
%s\" . $cities[$key][\"name\"] . \" 10000) {\n $fmt = \"d M h:i P\";\n $row .= \"bgcolor=\\\"red\\\">\" . $parts[\"ts\"]->format($fmt) . \"Site Offline
{$wxc}\" . $ptmpf . \"\" . myround($parts[\"max_tmpf\"], 0) . \"\" . myround($parts[\"min_tmpf\"], 0) . \"\" . $pdwpf . \"\" . $pfeel . \"\" . $prelh . \"\" . $parts[\"alti\"] . \"\" . $parts[\"vsby\"] . \"\" . myround($parts[\"sknt\"], 0);\n\n if (floatval($parts[\"gust\"] > 0)) {\n $row .= \"G\" . myround($parts[\"gust\"], 0);\n }\n $row .= \"\" . drct2txt($parts[\"drct\"]) . \"\";\n if (isset($parts[\"peak_ts\"])) {\n $row .= sprintf(\n \"%s @ %s\",\n myround($parts[\"peak\"],0),\n $parts[\"peak_ts\"]->format(\"h:i A\"),\n );\n }\n $text_pday = $parts['pday'] == -99 ? 'M' : $parts['pday'];\n $row .= \"{$phour}{$pday}\" . $parts[\"skyc1\"] . \" \" . $parts[\"skyl1\"] . \"\" . $parts[\"skyc2\"] . \" \" . $parts[\"skyl2\"] . \"\" . $parts[\"skyc3\"] . \" \" . $parts[\"skyl3\"] . \"\" . $parts[\"skyc4\"] . \" \" . $parts[\"skyl4\"] . \"
\n \" . $parts[\"raw\"] . \"
%s%sSite Offline
\n\n\n\n\n
\nEOM;\n$t->content = $table;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/ASOS/index.phtml", "content": "title = \"ASOS/AWOS Network\";\n\n$t->content = <<< EOM\n

ASOS / AWOS Network

\n\n\n\n

The Automated Surface Observing System (ASOS) is considered to be the flagship automated observing network. Located at airports, the ASOS stations provide essential observations for the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the Department of Defense (DOD). The primary function of the ASOS stations are to take minute-by-minute observations and generate basic weather reports.[1]

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Please see this Important News Item regarding wagering on ASOS temperatures.

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Current ASOS Data

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1 Minute Archive

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The National Center for Environmental Information (NCEI) provides an archive of one minute interval observations from many US ASOS sites back to the year 2000. This archive is available here, but in a difficult to use format. The IEM makes a best-guess effort at processing the mostly undocumented data format and updates the archive daily. This dataset is not realtime and is delayed by 18–36 hours or more due to NCEI availability.

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Data is available for some sites back to 2000.

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Quality Control

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Historical Data

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Comparisons

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References

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[1] Adapted from the ASOS User's Guide

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\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/ASOS/precipnote.phtml", "content": "title = \"Note about ASOS Precipitation Data\";\n\n$t->content = <<Notes about ASOS Precipitation Reports\n\n

The Automated Surface Observation System ASOS is the\nprimary automated weather observation system in the country. The network is\nmaintained by the Federal Aviation Administration and National Weather Service.\nThe IEM processes, archives, and makes available data from this network. The\npurpose of this page is to document some interesting aspects of the precipitation\ndata from this network.\n\n

Please feel free to \nreport any doubts or concerns you\nhave with this documentation. This information has been pieced together based\non conversations with the NWS and reviewing the \nASOS Users Manual.
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Regarding Time Zones...

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Depending on the report type, observations from this network are reported in\neither local standard time or UTC (sometimes called GMT) time. The internal \nclocks on the ASOS sites are not updated for daylight time. This is an important\nconsideration when using its local daily precipitation report found in the \nDaily Summary Message (DSM). This 24 hour period is between local midnight in\nstandard time. So when the local calendar is in daylight time, the period will\nrepresent the time between 1 AM and 1 AM. This 24 hour is not exactly as stated\nand leads to the next section.\n\n

Regarding Exact Timing...

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The ASOS reports time in hours and minutes without seconds. This creates some\nambiguity when attempting to ascertain exactly when a reported precipitation rate\noccurred. When the time hits 00 seconds, the ASOS starts processing its memory of \nrecently saved data. This processing ends promptly at 23 seconds after and various\ndisplays are updated, products disseminated, and one minute interval data archived.\n\n

The one minute precipitation data is thus some nearly 60 second period between\nwhen the previous minute's processing got to totaling the precipitation data\nto this minute's processing. So the one minute total is strictly not from a \nperiod between 00 seconds of the previous minute and 00 seconds of the current\nperiod. Instead this is approximately the 60 second period between 24 seconds\nafter the previous minute to 23 seconds of the current minute. For example:\n\n

For one minute data, the 12:45 UTC observation approximately represents\na period between 12:44:24 and 12:45:23 UTC. \n\n

For the hourly METAR precipitation, the 12:54 UTC observation represents a\nperiod between 11:54:24 and 12:54:23 UTC.\n\n

For the daily summary message, the observation represents a period between\n11:59:24 PM LST of the previous day to 11:59:23 PM LST of the current day.\n\n

For the hourly data in the daily summary message, the observation is a \nperiod from (HH-1):59:24 to HH:59:23 LST.\n\n

Heavy Precipitation Rates...

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The ASOS uses a tipping bucket method to measure precipitation. This means\nthat a single tip of the bucket records 0.01 inch of precipitation with the data\nlogger. Under intense rainfall rates, various physical things happen causing\nthe tipping mechanism to not be able to keep up with the flowing water rate. The ASOS Users Manual\nnotes in section 3.4.2 that a correction is applied to the measured\naccumulation on a minute by minute basis.\nThe equation shown in the manual is as follows:\n\n

C = A(1 + 0.60A)

where C is the reported\naccumulation and A is the measured accumulation from the tipping bucket.
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This means that when the ASOS reports a one minute accumulation of 0.25 \ninches, the actual measured value was around 0.22 inches. Please note that\nit is not our intention to claim this correction is wrong, but just to document that\nit is there. Extremely intense rainfall rates such as these are rare, so the \ntypical adjustment is practically zero. \n\n

In Summary

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The timing and precipitation totals are not exact, but they are conservative\nover time when summed. Please let us know of any corrections or clarifications\nyou would like to see made.\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/ASOS/recent.css", "content": "/* Ensure the region scrolls nicely if tall */\n.table-responsive { max-height: 70vh; overflow: auto; }\n\n/* Sticky header hint (Bootstrap adds .sticky-top logic) */\nthead.sticky-top th { background: #f8f9fa; }\n\n#recent-status { font-size: 0.875rem; }\n\n@media (max-width: 575.98px) {\n #recent-heading { font-size: 1.05rem; }\n #recent-desc { font-size: 0.9rem; }\n}\n" }, { "path": "htdocs/ASOS/recent.module.js", "content": "\nlet report = 'snowdepth';\n\nconst getAllowedReports = (select) => new Set([...select.options].map((opt) => opt.value));\n\nconst buildCell = (tagName, text) => {\n const cell = document.createElement(tagName);\n cell.textContent = text;\n return cell;\n};\n\n/**\n * Fetch recent interesting METAR reports and populate the table.\n * Exposed for potential reuse (e.g. manual refresh button later).\n */\nconst buildRow = (feat) => {\n const row = document.createElement('tr');\n row.appendChild(buildCell('td', feat.properties.station));\n row.appendChild(buildCell('td', feat.properties.network));\n row.appendChild(buildCell('td', feat.properties.valid));\n row.appendChild(buildCell('td', `${feat.properties.value ?? ''}`));\n row.appendChild(buildCell('td', feat.properties.metar));\n return row;\n};\n\nconst buildMessageRow = (message) => {\n const row = document.createElement('tr');\n const cell = buildCell('th', message);\n cell.colSpan = 5;\n row.appendChild(cell);\n return row;\n};\n\nconst updateStatus = (live, message) => { if (live) {live.textContent = message;} };\n\nexport const fetchData = async () => {\n const tableBody = document.querySelector('#datatable tbody');\n if (!tableBody) {return;}\n const live = document.getElementById('recent-status');\n\n tableBody.replaceChildren(buildMessageRow('Querying server, one moment'));\n updateStatus(live, 'Loading recent METAR reports…');\n try {\n const resp = await fetch(`/geojson/recent_metar.py?q=${encodeURIComponent(report)}`);\n if (!resp.ok) {throw new Error(`${resp.status} ${resp.statusText}`);}\n const j = await resp.json();\n tableBody.replaceChildren();\n j.features.forEach((feat) => tableBody.appendChild(buildRow(feat)));\n if (j.features.length === 0) {\n tableBody.replaceChildren(buildMessageRow('No results were found, sorry!'));\n updateStatus(live, 'No recent METAR reports found for selected type.');\n return;\n }\n updateStatus(live, `${j.features.length} recent METAR report${j.features.length === 1 ? '' : 's'} loaded.`);\n } catch (error) {\n tableBody.replaceChildren(buildMessageRow(`Error loading data ${error.message}`));\n updateStatus(live, `Error loading data: ${error.message}`);\n }\n};\n\n/** Get current report type. */\nexport const getReport = () => report;\n\n/**\n * Set current report type, update the URL hash, refresh data.\n * @param {string} value\n */\nexport const setReport = (value) => {\n report = value;\n // Update ?report= parameter without reloading page.\n const params = new URLSearchParams(window.location.search);\n params.set('report', value);\n const newUrl = `${window.location.pathname}?${params.toString()}`;\n window.history.replaceState({}, '', newUrl);\n fetchData();\n};\n\n/** Initialize report selection from current URL hash. */\nconst initReportFromURL = () => {\n const select = document.getElementById('report');\n if (!(select instanceof HTMLSelectElement)) {\n return;\n }\n const allowedReports = getAllowedReports(select);\n const params = new URLSearchParams(window.location.search);\n const fromParam = params.get('report');\n let candidate = fromParam;\n // Hash shim: allow legacy #value and migrate to ?report=value\n if (!candidate && window.location.hash.length > 1) {\n candidate = window.location.hash.substring(1);\n // Migrate hash -> query param (preserve other params if they appear later)\n const migrateParams = new URLSearchParams(window.location.search);\n migrateParams.set('report', candidate);\n const newUrl = `${window.location.pathname}?${migrateParams.toString()}`;\n window.history.replaceState({}, '', newUrl);\n }\n if (candidate?.length && allowedReports.has(candidate)) {\n report = candidate;\n select.value = report;\n }\n};\n\n/** Wire up UI events and perform initial data load. */\nexport const init = () => {\n const select = document.getElementById('report');\n if (select instanceof HTMLSelectElement) {\n select.addEventListener('change', (e) => {\n const target = e.currentTarget;\n if (target instanceof HTMLSelectElement) {setReport(target.value);}\n });\n }\n initReportFromURL();\n fetchData();\n};\n\n// Auto initialize when DOM is ready.\ndocument.addEventListener('DOMContentLoaded', init);\n" }, { "path": "htdocs/ASOS/recent.phtml", "content": "title = \"Recent Interesting METAR Reports\";\n\n$t->content = <<\n

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  1. ASOS Mainpage
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  2. Recent Interesting METAR Reports
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Recent Interesting METAR Reports

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The IEM processes and archives a feed of METAR formatted weather observations. These observations sometimes contain interesting things reported. This page lists such recent occurrences of a given phenomena for roughly the past 2–3 days.

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Table of recent interesting METAR reports filtered by selected report type
IDNetworkUTC ValidValueMETAR
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\nEOM;\n$t->headextra = <<\nEOM;\n$t->jsextra = <<\nEOM;\n\n$t->render('single.phtml');\n" }, { "path": "htdocs/ASOS/reports/mon_prec.css", "content": "/* Bootstrap 5 enhancements for Monthly Precipitation Report */\n\n/* Tabulator container styling */\n#tabulator-container {\n margin-top: 1rem;\n}\n\n/* Table controls styling */\n#table-controls {\n margin-bottom: 1rem;\n padding: 1rem;\n background-color: var(--bs-light);\n border-radius: 0.375rem;\n border: 1px solid var(--bs-border-color);\n}\n\n#table-controls .btn-group {\n margin-right: 0.5rem;\n margin-bottom: 0.5rem;\n}\n\n#table-controls .btn {\n margin-right: 0.25rem;\n}\n\n/* Enhance the \"Interactive Grid\" button */\n#create-grid {\n background: linear-gradient(135deg, var(--bs-success), var(--bs-primary));\n border: none;\n color: white;\n padding: 0.75rem 1.5rem;\n border-radius: 0.5rem;\n font-weight: 600;\n text-transform: uppercase;\n letter-spacing: 0.5px;\n transition: all 0.3s ease;\n box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);\n}\n\n#create-grid:hover {\n transform: translateY(-2px);\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.15);\n}\n\n#create-grid:active {\n transform: translateY(0);\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n}\n\n/* Original table wrapper */\n#original-table {\n margin-top: 1rem;\n}\n\n/* Tabulator table customizations */\n.tabulator {\n border: 1px solid var(--bs-border-color);\n border-radius: 0.375rem;\n overflow: hidden;\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);\n}\n\n.tabulator .tabulator-header {\n background: var(--bs-primary);\n color: white;\n border-bottom: 2px solid var(--bs-primary);\n}\n\n.tabulator .tabulator-header .tabulator-col {\n border-right: 1px solid rgba(255, 255, 255, 0.2);\n background: var(--bs-primary);\n}\n\n.tabulator .tabulator-header .tabulator-col-title {\n font-weight: 600;\n color: white !important;\n text-shadow: 0 1px 2px rgba(0, 0, 0, 0.2);\n}\n\n.tabulator .tabulator-header .tabulator-col-sorter {\n color: white !important;\n}\n\n.tabulator .tabulator-header .tabulator-header-filter input {\n background-color: rgba(255, 255, 255, 0.9);\n border: 1px solid rgba(255, 255, 255, 0.3);\n border-radius: 0.25rem;\n color: var(--bs-dark);\n font-size: 0.875rem;\n}\n\n.tabulator .tabulator-header .tabulator-header-filter input:focus {\n background-color: white;\n border-color: var(--bs-primary);\n box-shadow: 0 0 0 0.2rem rgba(var(--bs-primary-rgb), 0.25);\n}\n\n/* Row styling */\n.tabulator .tabulator-row:nth-child(even) {\n background-color: var(--bs-light);\n}\n\n.tabulator .tabulator-row:hover {\n background-color: rgba(var(--bs-primary-rgb), 0.1);\n}\n\n.tabulator .tabulator-row .tabulator-cell {\n border-right: 1px solid var(--bs-border-color);\n padding: 0.5rem 0.75rem;\n font-family: 'Courier New', monospace;\n text-align: center;\n}\n\n.tabulator .tabulator-row .tabulator-cell:first-child,\n.tabulator .tabulator-row .tabulator-cell:nth-child(2) {\n font-family: inherit;\n text-align: left;\n}\n\n/* Highlight special columns */\n.tabulator .tabulator-row .tabulator-cell.highlight-summer {\n background-color: rgba(var(--bs-warning-rgb), 0.1);\n font-weight: 600;\n border-left: 3px solid var(--bs-warning);\n}\n\n.tabulator .tabulator-row .tabulator-cell.highlight-annual {\n background-color: rgba(var(--bs-success-rgb), 0.1);\n font-weight: 600;\n border-left: 3px solid var(--bs-success);\n}\n\n/* Link styling in table */\n.tabulator .tabulator-row .tabulator-cell a {\n color: var(--bs-primary);\n text-decoration: none;\n font-weight: 500;\n}\n\n.tabulator .tabulator-row .tabulator-cell a:hover {\n color: var(--bs-primary);\n text-decoration: underline;\n}\n\n/* Pagination styling */\n.tabulator .tabulator-footer {\n background-color: var(--bs-light);\n border-top: 1px solid var(--bs-border-color);\n}\n\n.tabulator .tabulator-footer .tabulator-page {\n background-color: white;\n border: 1px solid var(--bs-border-color);\n color: var(--bs-primary);\n border-radius: 0.25rem;\n margin: 0 0.125rem;\n}\n\n.tabulator .tabulator-footer .tabulator-page:hover {\n background-color: var(--bs-primary);\n color: white;\n}\n\n.tabulator .tabulator-footer .tabulator-page.active {\n background-color: var(--bs-primary);\n color: white;\n border-color: var(--bs-primary);\n}\n\n/* Form styling improvements */\nform[name=\"change\"] {\n background: linear-gradient(135deg, rgba(var(--bs-primary-rgb), 0.05), rgba(var(--bs-info-rgb), 0.05));\n border-radius: 0.5rem;\n padding: 1.5rem;\n margin-bottom: 1.5rem;\n border: 1px solid var(--bs-border-color);\n}\n\nform[name=\"change\"] p {\n margin-bottom: 1rem;\n}\n\nform[name=\"change\"] select {\n margin-right: 1rem;\n margin-bottom: 0.5rem;\n}\n\nform[name=\"change\"] input[type=\"submit\"] {\n background: var(--bs-primary);\n color: white;\n border: none;\n padding: 0.5rem 1rem;\n border-radius: 0.375rem;\n font-weight: 500;\n transition: all 0.2s ease;\n}\n\nform[name=\"change\"] input[type=\"submit\"]:hover {\n background: var(--bs-primary);\n transform: translateY(-1px);\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n}\n\n/* Responsive adjustments */\n@media (max-width: 768px) {\n #table-controls {\n padding: 0.75rem;\n }\n \n #table-controls .btn-group {\n display: flex;\n flex-direction: column;\n width: 100%;\n margin-bottom: 0.5rem;\n }\n \n #table-controls .btn {\n margin-right: 0;\n margin-bottom: 0.25rem;\n }\n \n .tabulator .tabulator-header .tabulator-col {\n min-width: 60px;\n }\n \n form[name=\"change\"] {\n padding: 1rem;\n }\n \n form[name=\"change\"] select {\n width: 100%;\n margin-right: 0;\n margin-bottom: 0.75rem;\n }\n \n form[name=\"change\"] input[type=\"submit\"] {\n width: 100%;\n }\n}\n\n/* Breadcrumb enhancement */\n.breadcrumb {\n background: linear-gradient(135deg, var(--bs-light), rgba(var(--bs-primary-rgb), 0.05));\n border-radius: 0.375rem;\n padding: 0.75rem 1rem;\n margin-bottom: 1.5rem;\n border: 1px solid var(--bs-border-color);\n}\n\n/* Missing data styling */\n.tabulator .tabulator-row .tabulator-cell:has-text(\"M\") {\n color: var(--bs-secondary);\n font-style: italic;\n}\n\n/* Loading spinner */\n.tabulator-loader {\n border: 3px solid var(--bs-light);\n border-top: 3px solid var(--bs-primary);\n border-radius: 50%;\n width: 40px;\n height: 40px;\n animation: spin 1s linear infinite;\n margin: 2rem auto;\n}\n\n@keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n}\n\n/* Page header styling */\nh1, h2, h3 {\n color: var(--bs-primary);\n font-weight: 600;\n}\n\n/* Info text styling */\np {\n line-height: 1.6;\n color: var(--bs-body-color);\n}\n\n/* Button group improvements */\n.btn-group .btn {\n border-radius: 0.375rem;\n margin-right: 0.25rem;\n font-weight: 500;\n}\n\n.btn-group .btn:last-child {\n margin-right: 0;\n}\n\n/* Sticky header enhancement */\n.sticky {\n position: sticky;\n top: 0;\n z-index: 10;\n background: var(--bs-primary);\n color: white;\n}\n\n/* Table wrapper for original table */\n#original-table {\n overflow-x: auto;\n border-radius: 0.375rem;\n border: 1px solid var(--bs-border-color);\n}\n\n#original-table table {\n margin-bottom: 0;\n}\n\n#original-table th {\n background: var(--bs-primary);\n color: white;\n padding: 0.75rem 0.5rem;\n text-align: center;\n font-weight: 600;\n border-color: rgba(255, 255, 255, 0.2);\n}\n\n#original-table td {\n padding: 0.5rem;\n text-align: center;\n font-family: 'Courier New', monospace;\n border-color: var(--bs-border-color);\n}\n\n#original-table td:first-child,\n#original-table td:nth-child(2) {\n font-family: inherit;\n text-align: left;\n}\n" }, { "path": "htdocs/ASOS/reports/mon_prec.module.js", "content": "// Tabulator-based Monthly Precipitation Report\n// Replaces ExtJS TableGrid implementation with modern Tabulator\nimport {TabulatorFull as Tabulator} from 'https://unpkg.com/tabulator-tables@6.3.1/dist/js/tabulator_esm.min.mjs';\n\n// Application state\nlet precipTable = null;\nlet originalData = [];\nlet statusEl = null;\n\n// Common Tabulator configuration\nconst commonConfig = {\n layout: \"fitDataStretch\",\n pagination: \"local\",\n paginationSize: 25,\n paginationSizeSelector: [10, 25, 50, 100, true],\n movableColumns: true,\n resizableColumns: true,\n sortMode: \"local\",\n filterMode: \"local\",\n responsiveLayout: false, // Use horizontal scroll instead of hiding columns\n tooltips: true,\n clipboard: true,\n clipboardCopyHeader: true,\n height: \"70vh\",\n placeholder: \"No precipitation data available\",\n initialSort: [\n {column: \"name\", dir: \"asc\"}\n ]\n};\n\n// Format precipitation values (handle missing data)\nfunction formatPrecipitation(cell) {\n const value = cell.getValue();\n if (value === null || value === undefined || value === \"M\") {return \"M\";}\n if (typeof value === 'string' && value.trim() === '') {return \"M\";}\n const numValue = parseFloat(value);\n if (isNaN(numValue)) {return \"M\";}\n return numValue.toFixed(2);\n}\n\n// Column definitions for monthly precipitation data\nfunction getPrecipitationColumns() {\n return [\n {\n title: \"Station ID\", \n field: \"id\", \n frozen: true, \n width: 100, \n sorter: \"string\",\n formatter: \"link\",\n formatterParams: {\n urlPrefix: '/sites/site.php?station=',\n urlSuffix: () => `&network=${getNetworkFromURL()}`,\n target: \"_blank\"\n },\n headerFilter: \"input\",\n headerFilterPlaceholder: \"Filter ID...\"\n },\n {\n title: \"Station Name\", \n field: \"name\", \n frozen: true, \n minWidth: 200, \n sorter: \"string\",\n headerFilter: \"input\",\n headerFilterPlaceholder: \"Filter name...\"\n },\n {title: \"Jan\", field: \"jan\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"January precipitation (inches)\"},\n {title: \"Feb\", field: \"feb\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"February precipitation (inches)\"},\n {title: \"Mar\", field: \"mar\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"March precipitation (inches)\"},\n {title: \"Apr\", field: \"apr\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"April precipitation (inches)\"},\n {title: \"May\", field: \"may\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"May precipitation (inches)\"},\n {title: \"Jun\", field: \"jun\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"June precipitation (inches)\"},\n {title: \"Jul\", field: \"jul\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"July precipitation (inches)\"},\n {title: \"Aug\", field: \"aug\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"August precipitation (inches)\"},\n {title: \"Sep\", field: \"sep\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"September precipitation (inches)\"},\n {title: \"Oct\", field: \"oct\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"October precipitation (inches)\"},\n {title: \"Nov\", field: \"nov\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"November precipitation (inches)\"},\n {title: \"Dec\", field: \"dec\", width: 80, sorter: \"number\", formatter: formatPrecipitation, headerTooltip: \"December precipitation (inches)\"},\n {\n title: \"MJJA\", \n field: \"mjja\", \n width: 90, \n sorter: \"number\", \n formatter: formatPrecipitation,\n headerTooltip: \"May-June-July-August total (growing season)\",\n cssClass: \"highlight-summer\"\n },\n {\n title: \"Annual\", \n field: \"annual\", \n width: 90, \n sorter: \"number\", \n formatter: formatPrecipitation,\n headerTooltip: \"Annual total precipitation\",\n cssClass: \"highlight-annual\"\n }\n ];\n}\n\n// Get network parameter from URL\nfunction getNetworkFromURL() {\n const urlParams = new URLSearchParams(window.location.search);\n return urlParams.get('network') || 'IA_ASOS';\n}\n\n// Load and process precipitation data from the existing table\nfunction loadTableData() {\n const tableElement = document.querySelector('#original-table');\n if (!tableElement) {\n return [];\n }\n\n const rows = tableElement.querySelectorAll('tbody tr');\n const data = [];\n\n rows.forEach(row => {\n const cells = row.querySelectorAll('td');\n if (cells.length >= 16) {\n // Extract station ID from the link\n const linkElement = cells[0].querySelector('a');\n const stationId = linkElement ? linkElement.textContent.trim() : cells[0].textContent.trim();\n\n data.push({\n id: stationId,\n name: cells[1].textContent.trim(),\n jan: cells[2].textContent.trim(),\n feb: cells[3].textContent.trim(),\n mar: cells[4].textContent.trim(),\n apr: cells[5].textContent.trim(),\n may: cells[6].textContent.trim(),\n jun: cells[7].textContent.trim(),\n jul: cells[8].textContent.trim(),\n aug: cells[9].textContent.trim(),\n sep: cells[10].textContent.trim(),\n oct: cells[11].textContent.trim(),\n nov: cells[12].textContent.trim(),\n dec: cells[13].textContent.trim(),\n mjja: cells[14].textContent.trim(),\n annual: cells[15].textContent.trim()\n });\n }\n });\n\n return data;\n}\n\n// Initialize the Tabulator table\nfunction initializeTable() {\n // Load data from existing table\n originalData = loadTableData();\n \n if (originalData.length === 0) {\n return;\n }\n\n // Create Tabulator table\n precipTable = new Tabulator(\"#precipitation-tabulator-table\", {\n ...commonConfig,\n columns: getPrecipitationColumns(),\n data: originalData\n });\n\n // Show the new table and controls\n const container = document.getElementById('tabulator-container');\n container.classList.remove('d-none');\n const controls = document.getElementById('table-controls');\n controls.classList.remove('d-none');\n controls.removeAttribute('aria-hidden');\n if (statusEl) {statusEl.textContent = 'Interactive table loaded. Use header inputs to filter and column headers to sort.';}\n \n // Hide the original table and button\n const original = document.getElementById('original-table');\n original.style.display = 'none';\n const btn = document.getElementById('create-grid');\n btn.style.display = 'none';\n btn.setAttribute('aria-expanded', 'true');\n}\n\n// Setup table control event handlers\nfunction setupControls() {\n // Download CSV button\n document.getElementById('download-csv').addEventListener('click', () => {\n if (precipTable) {\n const year = new URLSearchParams(window.location.search).get('year') || new Date().getFullYear();\n const network = getNetworkFromURL();\n precipTable.download(\"csv\", `${network}_${year}_precipitation.csv`);\n }\n });\n\n // Download JSON button\n document.getElementById('download-json').addEventListener('click', () => {\n if (precipTable) {\n const year = new URLSearchParams(window.location.search).get('year') || new Date().getFullYear();\n const network = getNetworkFromURL();\n precipTable.download(\"json\", `${network}_${year}_precipitation.json`);\n }\n });\n\n // Copy to clipboard button\n document.getElementById('copy-clipboard').addEventListener('click', () => {\n if (precipTable) {\n precipTable.copyToClipboard(\"active\");\n }\n });\n\n // Clear all filters button\n document.getElementById('clear-filters').addEventListener('click', () => {\n if (precipTable) {\n precipTable.clearHeaderFilter();\n }\n });\n}\n\n// Initialize the application\ndocument.addEventListener('DOMContentLoaded', () => {\n statusEl = document.getElementById('precip-status');\n // Setup the \"Interactive Grid\" button\n const createGridButton = document.getElementById('create-grid');\n if (createGridButton) {\n createGridButton.addEventListener('click', () => {\n if (statusEl) {statusEl.textContent = 'Initializing interactive table…';}\n initializeTable();\n });\n }\n\n // Setup table controls\n setupControls();\n});" }, { "path": "htdocs/ASOS/reports/mon_prec.php", "content": "title = \"{$year} {$network} Monthly Precipitation\";\n\n$pgconn = iemdb(\"iem\");\n$nt = new NetworkTable($network);\n$cities = $nt->table;\n\n$stname = iem_pg_prepare($pgconn, <<= 0\nGROUP by id, month\nEOM\n);\n$rs = pg_execute($pgconn, $stname, array($network));\n$data = array();\nfor ($i = 0; $row = pg_fetch_assoc($rs); $i++) {\n if (!array_key_exists($row['id'], $data)) {\n $data[$row['id']] = array(\n null, null, null, null, null, null, null,\n null, null, null, null, null\n );\n }\n $data[$row[\"id\"]][intval($row[\"month\"]) - 1] = $row[\"precip\"];\n}\n$t->headextra = <<\n\nEOM;\n$t->jsextra = <<\nEOM;\n\nreset($data);\nfunction friendly($val)\n{\n if (is_null($val)) return \"M\";\n return sprintf(\"%.2f\", $val);\n}\n$table = \"\";\nforeach ($data as $key => $val) {\n $table .= sprintf(\n \"%s%s\n %s%s%s\n %s%s%s\n %s%s%s\n %s%s%s\n %.2f%.2f\n \",\n $key,\n $network,\n $key,\n $cities[$key][\"name\"],\n friendly($val[0]),\n friendly($val[1]),\n friendly($val[2]),\n friendly($val[3]),\n friendly($val[4]),\n friendly($val[5]),\n friendly($val[6]),\n friendly($val[7]),\n friendly($val[8]),\n friendly($val[9]),\n friendly($val[10]),\n friendly($val[11]),\n array_sum(array_slice($val, 4, 4)),\n array_sum($val)\n );\n}\n\n$d = date(\"d M Y h a\");\n$t->content = <<\n
    \n
  1. ASOS Mainpage
    2. \n
  2. {$year} {$network} Precipitation Report
    3. \n
\n\n\n

{$year} {$network} Monthly Precipitation

\n

This table was generated at {$d} and is based on available ASOS data. No attempt was made to estimate missing data.

\n\n
\n
\n
\n \n {$netselect}\n
\n
\n \n {$yselect}\n
\n
\n \n
\n
\n
\n\n
\n
\n

Monthly Precipitation Data

\n \n
\n\n
\n\n\n
\n
\n
\n \n \n
\n
\n \n \n
\n
\n
\n\n\n
\n
\n
\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n{$table}\n\n
Monthly and seasonal (MJJA) precipitation totals (inches) for stations in the {$network} network, year {$year}. M denotes missing.
IDNameJanFebMarAprMayJunJulAugSepOctNovDecMJJAYear
\n
\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/AWOS/current.phtml", "content": "title = \"Iowa AWOS Network\";\n$t->content = <<Iowa AWOS Network\n\n

The term \"AWOS\" is typically applied to a subset of ASOS stations (airport\nweather stations) that are not federally owned. Over the years, the IEM has\ncollected some datasets and products that are limited to AWOS sites in Iowa.\nThis page details these Iowa-specific AWOS products. The main page for data\nfrom these sites resides with the ASOS Mainpage.

\n\n
\n
\n\n

Docs:

\n\n\n

Archived One Minute Data:

\n\n

The Iowa DOT kept an one minute interval archive of their data between\n1995 and 1 April 2011. Due to communication changes, \nthis archival was discontinued. You can download data from this archive at the \nlinks below. \n\n

\n\n
\n
\n\n

QC Info:

\n\n\n
\n
\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/AWOS/reports/mon_prec.php", "content": "title = \"AWOS Archive | Sky Coverages\";\n$t->content = <<\n
    \n
  1. AWOS
    2. \n
  2. AWOS Sky Coverage Codes
    3. \n
\n\n\n

AWOS Sky Coverages

\n\n

The Iowa DOT provides the IEM with an archive of 1 minute observations\nfrom their AWOS network. This archive contains numerically coded values for\nsky coverage. Unfortunately, there does not appear to be a definitive cross\nreference to match these values up to something humans can understand (ex. overcast).\nHere is our (Harry Hillaker and Daryl Herzmann) educated guess at a cross reference\nto what the sky coverage codes mean that are found in the archive.

\n\n
\n\n\n\n \n \n \n\n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n
CodeTranslated Code:Meaning
0NOREPORTNo report, since lower cloud layers are obstructing.
1SCATTEREDScattered (10% to 50% coverage)
2BROKENBroken (60% to 90% coverage)
4OVERCASTOvercast (More than 90% coverage)
8OBSCURATIONFull obscuration (no ceiling or cloud amount available)
17OBSCURATIONPartial obscuration, lowest cloud layer is scattered.
18OBSCURATIONPartial obscuration, lowest cloud layer is broken.
20OBSCURATIONPartial obscuration, lowest cloud layer is overcast.
32INDEFINITEIndefinite ceiling (no cloud cover amount available?)
64CLEARNo clouds below 12000 feet
128FEWFew (less than 10% coverage)
255MISSINGMissing (sky condition not measured).
*UNKNOWNCODEAll other values that may appear in the database.
\n
\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/COOP/7am-app.js", "content": "/* global ol */\nlet renderattr = 'pday';\nlet map = null;\nlet coopLayer = null;\nlet azosLayer = null;\nlet mrmsLayer = null;\nlet cocorahsLayer = null;\n\n/**\n * Replace HTML special characters with their entity equivalents\n * @param string val\n * @returns string converted string\n */\nfunction escapeHTML(val) {\n return val\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\n/**\n * Format date as YYMMDD string\n * @param {Date} date\n * @returns {string}\n */\nfunction formatDateYYMMDD(date) {\n const year = date.getFullYear().toString().substring(2);\n const month = (date.getMonth() + 1).toString().padStart(2, '0');\n const day = date.getDate().toString().padStart(2, '0');\n return year + month + day;\n}\n\n/**\n * Format date as YYYY-MM-DD string\n * @param {Date} date\n * @returns {string}\n */\nfunction formatDateISO(date) {\n const year = date.getFullYear();\n const month = (date.getMonth() + 1).toString().padStart(2, '0');\n const day = date.getDate().toString().padStart(2, '0');\n return `${year}-${month}-${day}`;\n}\n\n/**\n * Parse YYMMDD string to Date object\n * @param {string} dateStr\n * @returns {Date}\n */\nfunction parseDateYYMMDD(dateStr) {\n const year = parseInt(`20${dateStr.substring(0, 2)}`, 10);\n const month = parseInt(dateStr.substring(2, 4), 10) - 1;\n const day = parseInt(dateStr.substring(4, 6), 10);\n return new Date(year, month, day);\n}\n\n/**\n * Parse YYYY-MM-DD string to Date object without timezone issues\n * @param {string} dateStr\n * @returns {Date}\n */\nfunction parseDateISO(dateStr) {\n const parts = dateStr.split('-');\n const year = parseInt(parts[0]);\n const month = parseInt(parts[1]) - 1; // Month is 0-based\n const day = parseInt(parts[2]);\n return new Date(year, month, day);\n}\n\n/**\n * Add days to a date string without timezone issues\n * @param {string} dateStr - YYYY-MM-DD format\n * @param {number} days - Number of days to add (can be negative)\n * @returns {string} - New date in YYYY-MM-DD format\n */\nfunction addDaysToDateString(dateStr, days) {\n const date = parseDateISO(dateStr);\n date.setDate(date.getDate() + days);\n return formatDateISO(date);\n}\n\n/**\n * Migrate legacy hash URLs to URLSearchParams\n * This maintains backward compatibility with old bookmarked URLs\n * Legacy format: #240610/pday\n * New format: ?date=240610&attr=pday\n */\nfunction migrateLegacyHashURLs() {\n const hash = window.location.hash;\n if (hash && hash.length > 1) {\n const hashContent = hash.substring(1); // Remove the # character\n const subtokens = hashContent.split('/');\n \n if (subtokens.length >= 1) {\n const url = new URL(window.location);\n \n // Clear the hash and set as URL parameters\n url.hash = '';\n url.searchParams.set('date', subtokens[0]);\n \n if (subtokens.length > 1) {\n url.searchParams.set('attr', subtokens[1]);\n }\n \n // Replace the URL without adding to history\n window.history.replaceState({}, '', url);\n \n return {\n date: subtokens[0],\n attr: subtokens.length > 1 ? subtokens[1] : null\n };\n }\n }\n return null;\n}\n\n/**\n * Parse URL parameters to set initial state\n * Handles both URLSearchParams and legacy hash URLs (with migration)\n */\nfunction parseURLParams() {\n // First, check for legacy hash URLs and migrate them\n const migrated = migrateLegacyHashURLs();\n \n // Get current URL parameters (either from migration or existing params)\n const params = new URLSearchParams(window.location.search);\n const dateParam = params.get('date') || (migrated?.date);\n const attrParam = params.get('attr') || (migrated?.attr);\n \n if (attrParam) {\n renderattr = escapeHTML(attrParam);\n const renderAttrElement = document.getElementById('renderattr');\n if (renderAttrElement instanceof HTMLSelectElement) {\n renderAttrElement.value = renderattr;\n }\n }\n \n if (dateParam) {\n const dt = parseDateYYMMDD(escapeHTML(dateParam));\n const datepickerElement = document.getElementById('datepicker');\n if (datepickerElement instanceof HTMLInputElement) {\n datepickerElement.value = formatDateISO(dt);\n }\n }\n}\n\n/**\n * Update URL with current parameters using URLSearchParams\n */\nfunction updateURL() {\n const datepickerElement = document.getElementById('datepicker');\n if (!(datepickerElement instanceof HTMLInputElement)) {return;}\n\n // Use parseDateISO to avoid timezone issues instead of new Date()\n const selectedDate = parseDateISO(datepickerElement.value);\n const tt = formatDateYYMMDD(selectedDate);\n \n const url = new URL(window.location);\n url.searchParams.set('date', tt);\n url.searchParams.set('attr', renderattr);\n \n // Clear any legacy hash\n url.hash = '';\n \n // Update URL without page reload\n window.history.replaceState({}, '', url);\n}\n\nfunction updateMap() {\n const renderattrElement = document.getElementById('renderattr');\n if (renderattrElement instanceof HTMLSelectElement) {\n renderattr = escapeHTML(renderattrElement.value);\n }\n coopLayer.setStyle(coopLayer.getStyle());\n azosLayer.setStyle(azosLayer.getStyle());\n updateURL();\n // Announce change to assistive tech\n const status = document.getElementById('status');\n if (status) {\n const label = renderattrElement?.selectedOptions?.[0]?.text || renderattr;\n status.textContent = `Parameter updated: ${label}`;\n }\n}\n\nfunction updateDate() {\n // We have a changed date, hello!\n const datepickerElement = document.getElementById('datepicker');\n if (!(datepickerElement instanceof HTMLInputElement)) {return;}\n\n // Use parseDateISO to avoid timezone issues instead of new Date()\n const selectedDate = parseDateISO(datepickerElement.value);\n const fullDate = formatDateISO(selectedDate);\n\n // Create new sources with updated URLs to force refresh\n // This ensures OpenLayers actually fetches new data\n cocorahsLayer.setSource(new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/geojson/7am.py?group=cocorahs&dt=${fullDate}`,\n }));\n \n coopLayer.setSource(new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/geojson/7am.py?group=coop&dt=${fullDate}`,\n }));\n \n azosLayer.setSource(new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/geojson/7am.py?group=azos&dt=${fullDate}`,\n }));\n\n mrmsLayer.setSource(\n new ol.source.XYZ({\n url: get_tms_url(),\n })\n );\n updateURL();\n const status = document.getElementById('status');\n if (status) {\n status.textContent = `Date updated: ${fullDate}`;\n }\n}\n\nfunction pretty(val) {\n if (val === null || val === undefined) {return 'M';}\n if (val === 0.0001) {return 'T';}\n return val;\n}\n\nfunction makeVectorLayer(dt, title, group) {\n return new ol.layer.Vector({\n title,\n source: new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/geojson/7am.py?group=${group}&dt=${dt}`,\n }),\n style(feature) {\n let txt = feature.get(renderattr) === 0.0001 ? 'T' : feature.get(renderattr);\n txt = txt === null || txt === undefined ? '.' : txt;\n return [\n new ol.style.Style({\n text: new ol.style.Text({\n font: '14px Calibri,sans-serif',\n text: txt.toString(),\n stroke: new ol.style.Stroke({\n color: '#fff',\n width: 3,\n }),\n fill: new ol.style.Fill({\n color: 'black',\n }),\n }),\n }),\n ];\n },\n });\n}\nfunction get_tms_url() {\n // Generate the TMS URL given the current settings\n const datepickerElement = document.getElementById('datepicker');\n if (!(datepickerElement instanceof HTMLInputElement)) {return '';}\n\n // Use parseDateISO to avoid timezone issues instead of new Date()\n const selectedDate = parseDateISO(datepickerElement.value);\n const dateStr = formatDateISO(selectedDate);\n return `https://mesonet.agron.iastate.edu/cache/tile.py/1.0.0/idep0::mrms-12z24h::${dateStr}/{z}/{x}/{y}.png`;\n}\n\nfunction buildUI() {\n const renderAttrElement = document.getElementById('renderattr');\n if (renderAttrElement) {\n renderAttrElement.addEventListener('change', () => {\n updateMap();\n });\n }\n\n // Set up date input with HTML5 date type\n const datepickerElement = document.getElementById('datepicker');\n if (datepickerElement instanceof HTMLInputElement) {\n datepickerElement.type = 'date';\n datepickerElement.min = '2009-02-01';\n datepickerElement.max = formatDateISO(new Date());\n datepickerElement.value = formatDateISO(new Date());\n datepickerElement.addEventListener('change', () => {\n updateDate();\n });\n }\n\n const minusDayElement = document.getElementById('minusday');\n if (minusDayElement) {\n minusDayElement.addEventListener('click', (event) => {\n event.preventDefault(); // Prevent form submission\n const datepicker = document.getElementById('datepicker');\n if (datepicker instanceof HTMLInputElement) {\n if (datepicker.value) {\n datepicker.value = addDaysToDateString(datepicker.value, -1);\n updateDate();\n }\n }\n });\n }\n\n const plusDayElement = document.getElementById('plusday');\n if (plusDayElement) {\n plusDayElement.addEventListener('click', (event) => {\n event.preventDefault(); // Prevent form submission\n const datepicker = document.getElementById('datepicker');\n if (datepicker instanceof HTMLInputElement) {\n if (datepicker.value) {\n datepicker.value = addDaysToDateString(datepicker.value, 1);\n updateDate();\n }\n }\n });\n }\n}\ndocument.addEventListener('DOMContentLoaded', () => {\n buildUI();\n parseURLParams();\n\n // Get the date from the datepicker after parseURLParams() has run\n // This will be either the URL date or today's date (set by buildUI)\n const datepickerElement = document.getElementById('datepicker');\n let currentDate = formatDateISO(new Date());\n if (datepickerElement instanceof HTMLInputElement) {\n if (datepickerElement.value) {\n currentDate = datepickerElement.value;\n }\n }\n \n cocorahsLayer = makeVectorLayer(currentDate, 'IA CoCoRaHS Reports', 'cocorahs');\n coopLayer = makeVectorLayer(currentDate, 'NWS COOP Reports', 'coop');\n azosLayer = makeVectorLayer(currentDate, 'ASOS/AWOS Reports', 'azos');\n\n mrmsLayer = new ol.layer.Tile({\n title: 'MRMS 12z 24 Hour',\n source: new ol.source.XYZ({\n url: get_tms_url(),\n }),\n });\n\n map = new ol.Map({\n target: 'map',\n layers: [\n mrmsLayer,\n new ol.layer.Tile({\n title: 'County Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/uscounties/{z}/{x}/{y}.png',\n }),\n }),\n new ol.layer.Tile({\n title: 'State Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/usstates/{z}/{x}/{y}.png',\n }),\n }),\n new ol.layer.Tile({\n title: 'NWS CWA Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/wfo/{z}/{x}/{y}.png',\n }),\n }),\n cocorahsLayer,\n coopLayer,\n azosLayer,\n ],\n view: new ol.View({\n projection: 'EPSG:3857',\n center: [-10505351, 5160979],\n zoom: 7,\n }),\n });\n\n const layerSwitcher = new ol.control.LayerSwitcher();\n map.addControl(layerSwitcher);\n\n const element = document.getElementById('popup');\n\n const popup = new ol.Overlay({\n element,\n positioning: 'bottom-center',\n stopEvent: false,\n });\n map.addOverlay(popup);\n\n // Simple popover implementation to replace Bootstrap popover\n let popoverVisible = false;\n\n function showPopover(content) {\n if (element) {\n // Put content directly in the popup element\n element.innerHTML = content;\n\n // Use CSS classes instead of inline styles\n element.classList.add('popup-visible');\n popoverVisible = true;\n }\n }\n\n function hidePopover() {\n if (element && popoverVisible) {\n element.classList.remove('popup-visible');\n element.innerHTML = '';\n popoverVisible = false;\n }\n }\n\n // display popup on click\n map.on('click', evt => {\n const feature = map.forEachFeatureAtPixel(evt.pixel, feature2 => {\n return feature2;\n });\n if (feature) {\n const geometry = feature.getGeometry();\n const coord = geometry.getCoordinates();\n popup.setPosition(coord);\n const link = `/sites/site.php?station=${feature.getId()}&network=${feature.get('network')}`;\n const dt = new Date(feature.get('valid'));\n const content = [\n `

${feature.getId()} ${feature.get('name')}`,\n `
Hour of Ob: ${feature.get('hour')}`,\n `
High: ${pretty(feature.get('high'))}`,\n `
Low: ${pretty(feature.get('low'))}`,\n `
Temp at Ob: ${pretty(feature.get('coop_tmpf'))}`,\n `
Precip: ${pretty(feature.get('pday'))}`,\n `
Snow: ${pretty(feature.get('snow'))}`,\n `
Snow Depth: ${pretty(feature.get('snowd'))}`,\n `
Valid: ${dt}`,\n '

',\n ];\n showPopover(content.join(''));\n } else {\n hidePopover();\n }\n });\n});\n" }, { "path": "htdocs/COOP/7am.css", "content": ".map {\n height: 400px;\n width: 100%;\n background-color: #FFFFFF;\n}\n\n.popover {\n width: 300px;\n}\n\n/* Custom popup styles for map feature popover */\n#popup {\n position: relative;\n background: white;\n border: 1px solid #ccc;\n border-radius: 5px;\n padding: 10px;\n box-shadow: 0 2px 10px rgba(0,0,0,0.2);\n font-size: 12px;\n line-height: 1.4;\n min-width: 200px;\n max-width: 300px;\n display: none; /* Hidden by default */\n}\n\n/* Visible state for popup */\n#popup.popup-visible {\n display: block;\n}\n\n/* Style for links within popup */\n#popup a {\n color: #0066cc;\n text-decoration: none;\n}\n\n#popup a:hover {\n text-decoration: underline;\n}\n\n/* Strong text styling within popup */\n#popup strong {\n font-weight: bold;\n}" }, { "path": "htdocs/COOP/7am.php", "content": "title = \"Iowa Daily COOP Reports and Comparisons\";\n$t->headextra = <<\n\n\nEOM;\n\n$t->jsextra = <<\n\n\nEOM;\n\n$t->content = <<\n
    \n
  1. NWS COOP
    2. \n
  2. 7 AM - 24 Hour Precipitation Analysis
    3. \n
\n\n\n
\n

Iowa Daily COOP Reports & Comparisons

\n

Visual comparison of multiple data sources for the once-daily COOP reports. Choose a parameter and date to update the map. Data is valid for the 24-hour period ending near 7 AM local time.

\n
\n\n
\n

Map Controls

\n
\n
\n
\n \n \n
Select the variable to render on the map.
\n
\n
\n
MRMS Legend:
\n \"Legend\n
\n
\n
\n
\n View Date\n
\n \n \n \n
\n
Select a date between Feb 1 2009 and today.
\n
\n
\n
\n
\n\n
\n\n
\n

Interactive Map

\n

Use the layer switcher to toggle station networks or MRMS background. Click a station label for details.

\n
\n
\n\n\n\nEOM;\n$t->render(\"full.phtml\");\n" }, { "path": "htdocs/COOP/cat.module.js", "content": "let currentmode = true;\n\n/**\n * Toggle visibility of table rows without data\n */\nfunction hiderows() {\n const noDataRows = document.querySelectorAll('tr.nodata');\n const rowShower = document.getElementById('rowshower');\n \n if (currentmode) {\n noDataRows.forEach(row => {\n row.style.display = 'none';\n });\n if (rowShower) {\n rowShower.value = 'Show rows without data';\n }\n } else {\n noDataRows.forEach(row => {\n row.style.display = '';\n });\n if (rowShower) {\n rowShower.value = 'Hide rows without data';\n }\n }\n currentmode = !currentmode;\n}\n\ndocument.addEventListener('DOMContentLoaded', () => {\n const rowShower = document.getElementById('rowshower');\n if (rowShower) {\n rowShower.addEventListener('click', hiderows);\n }\n});" }, { "path": "htdocs/COOP/cat.phtml", "content": "title = \"NWS COOP Observations by Date by Site\";\n\n$content = <<\n
    \n
  1. NWS Cooperative Observers
    2. \n
  2. View Reports by Date or Site
    3. \n
\n \n
\n
\n

This page presents the raw observations of daily high and low temperature \n along with precipitation and snow when available. The dates shown are the \n date when the observation was reported. For observations made at 7 AM, this \n would be a for a 24 hour period up until that time and not for that local date.\n The timestamps shown are valid for the local timezone of that reporting station.

\n
Hint: You should be able to \n highlight the values in the table and then copy + paste these values into a \n spreadsheet program like Excel. A \n download interface does exist for these\n observations.
\n
\n
\n
\nEOM;\n\n// SCENARIO 1: Print out data for year for station\nif (strlen($station) > 0) {\n $link = \"cat.phtml?year=$year&station=$station&network=$network&sortvar=\";\n if ($sortvar == \"\") $sortvar = \"day\";\n $stationselect = networkSelect($network, $station);\n $content .= <<\n

COOP obs listed by station

\n
Click on a date to get all obs for a particular date.
\n {$stationselect}\n \nEOM;\n $content .= yearSelect(2004, $year, \"year\");\n $content .= \"
\";\n}\n\n// SCENARIO 2: Print out all stations for network and date\nif (strlen($date) > 0) {\n $year = substr($date, 0, 4);\n $link = \"cat.phtml?date=$date&network=$network&sortvar=\";\n if ($sortvar == \"\") $sortvar = \"station\";\n $content .= <<\n

COOP obs listed by date

\n
Click on the NWSLI to view all obs from one station.
\n \n \n \nEOM;\n}\n\n$netselect = selectNetworkType(\"COOP\", $network);\n\n$content .= <<\n \n {$netselect}\n \n \n \n \n\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \nEOM;\n\n$nt = new NetworkTable($network);\n$cities = $nt->table;\n$iemdb = iemdb(\"iem\");\n\n$sortdir = \"ASC\";\nif (\n $sortvar == \"pday\" || $sortvar == \"snow\" || $sortvar == \"snowd\" ||\n $sortvar == \"max_tmpf\" || $sortvar == \"snoww\"\n)\n $sortdir = \"DESC\";\nif (strlen($station) > 0) {\n $stname = iem_pg_prepare($iemdb, \"SELECT c.*, s.id as station, \n s.name as sname, c.coop_valid at time zone s.tzname as cts, c.report \n from summary_$year c, stations s\n WHERE s.id = $1 and s.network = $2 and c.iemid = s.iemid \n and c.day <= 'TODAY' ORDER by $sortvar $sortdir\");\n $rs = pg_execute($iemdb, $stname, array($station, $network));\n} else {\n $stname = iem_pg_prepare($iemdb, \"SELECT c2.*, s.id as station, \n s.name as sname, c2.coop_valid at time zone s.tzname as cts, c2.report\n from summary_$year c2, stations s\n WHERE c2.day = $1\n and s.network = $2 and c2.iemid = s.iemid ORDER by $sortvar $sortdir\");\n $rs = pg_execute($iemdb, $stname, array($date, $network));\n}\n\nwhile ($row = pg_fetch_assoc($rs)) {\n $nwsli = $row[\"station\"];\n $high = $row[\"max_tmpf\"];\n if ($high == \"-99\" || $high == \"\") $high = \"M\";\n if ($high > 130 || $high < -90) $high = \"M\";\n\n\n $tmpf = $row[\"coop_tmpf\"];\n if ($tmpf == \"-99\" || $tmpf == \"\") $tmpf = \"M\";\n if ($tmpf > 130 || $tmpf < -90) $tmpf = \"M\";\n\n $low = $row[\"min_tmpf\"];\n if ($low == \"99\" || $low == \"\" || $low == -99) $low = \"M\";\n if ($low > 130 || $low < -90) $low = \"M\";\n\n $rain = $row[\"pday\"];\n if ($rain == 0.0001) $rain = \"T\";\n else if ($rain == -99 || $rain == \"\") $rain = \"M\";\n else if ($rain > 30 || $rain < 0) $rain = \"M\";\n\n $snow = $row[\"snow\"];\n if ($snow == 0.0001) $snow = \"T\";\n else if ($snow == -99 || $snow == \"\") $snow = \"M\";\n else if ($snow > 100 || $snow < 0) $snow = \"M\";\n\n $snowd = $row[\"snowd\"];\n if ($snowd == 0.0001) $snowd = \"T\";\n else if ($snowd == -99 || $snowd == \"\") $snowd = \"M\";\n else if ($snowd > 1000 || $snowd < 0) $snowd = \"M\";\n\n $snoww = $row[\"snoww\"];\n if ($snoww == 0.0001) $snoww = \"T\";\n else if ($snoww == -99 || $snoww == \"\") $snoww = \"M\";\n else if ($snoww > 1000 || $snoww < 0) $snoww = \"M\";\n\n $rowcontent = \"\";\n $dstring = $row[\"day\"];\n\n if (\n $tmpf == \"M\" && $high == \"M\" && $low == \"M\" && $rain == \"M\"\n && $snow == \"M\" && $snowd == \"M\"\n ) {\n $dddd = \"\" . $dstring . \"\";\n $rowcontent = str_replace(\"\", \"\", $rowcontent) .\n \"\";\n } else {\n $rowcontent .= \"\\n\";\n if (!is_null($row[\"report\"])) {\n $rowcontent .= sprintf(\n '',\n $row[\"report\"],\n );\n }\n }\n $content .= $rowcontent;\n}\n\n$content .= <<\n \n

Errors exist in this dataset and you should evaluate the observations\n before using...

\n \nEOM;\n$t->content = $content;\n$t->jsextra = '';\n$t->render('full.phtml');\n" }, { "path": "htdocs/COOP/current.phtml", "content": "\";\n\n $sitesurl = sprintf(\n \"/sites/site.php?station=%s&network=%s\",\n $dict[\"sid\"],\n $dict[\"network\"]\n );\n\n $s .= <<\n \nEOM;\n $s .= \"\";\n $s .= \"\";\n $s .= \"\";\n\n $fmt = (date(\"Ymd\") != date(\"Ymd\", $dict[\"ts\"])) ? 'd M Y h:i A' : 'h:i A';\n $s .= \"\";\n\n $s .= sprintf(\n \"\n \",\n $dict[\"tmpf\"] != \"\" ? $dict[\"tmpf\"] : \"M\",\n $dict[\"max_tmpf\"] != \"\" ? $dict[\"max_tmpf\"] : \"M\",\n $dict[\"min_tmpf\"] != \"\" ? $dict[\"min_tmpf\"] : \"M\"\n );\n\n $s .= sprintf(\n \"\",\n precip_formatter($dict[\"pday\"]),\n precip_formatter($dict[\"snow\"]),\n precip_formatter($dict[\"ratio\"]),\n precip_formatter($dict[\"snowd\"]),\n precip_formatter($dict[\"snoww\"])\n );\n\n $s .= \"\\n\";\n return $s;\n}\n\nif (is_null($wfo)) {\n $arr = array(\n \"network\" => $network,\n );\n $baseurl = \"current.phtml?network=$network\";\n} else {\n $arr = array(\n \"networkclass\" => \"COOP\",\n \"wfo\" => $wfo,\n );\n $baseurl = \"current.phtml?wfo=$wfo\";\n}\n$jobj = iemws_json(\"currents.json\", $arr);\n\n$db = array();\nforeach ($jobj[\"data\"] as $bogus => $iemob) {\n $site = $iemob[\"station\"];\n $db[$site] = array(\n 'snow' => \"\", 'snowd' => \"\", 'ratio' => \"\", 'pday' => \"\",\n 'min_tmpf' => \"\", 'max_tmpf' => \"\", 'tmpf' => \"\", 'snoww' => \"\"\n );\n $db[$site]['ts'] = strtotime($iemob[\"local_valid\"]);\n $db[$site]['lts'] = strtotime($iemob[\"local_valid\"]);\n $db[$site]['sid'] = $site;\n $db[$site]['name'] = $iemob[\"name\"];\n $db[$site]['raw'] = $iemob[\"raw\"];\n $db[$site]['state'] = $iemob[\"state\"];\n $db[$site]['network'] = $iemob[\"network\"];\n $db[$site]['county'] = $iemob[\"county\"];\n if ($iemob[\"tmpf\"] > -100) {\n $db[$site]['tmpf'] = $iemob[\"tmpf\"];\n }\n if ($iemob[\"max_tmpf\"] > -100) {\n $db[$site]['max_tmpf'] = $iemob[\"max_tmpf\"];\n }\n\n if ($iemob[\"min_tmpf\"] < 99) {\n $db[$site]['min_tmpf'] = $iemob[\"min_tmpf\"];\n }\n\n $db[$site]['pday'] = $iemob[\"pday\"];\n $db[$site]['snoww'] = $iemob[\"snoww\"];\n $db[$site]['snow'] = ($iemob[\"snow\"] >= 0) ? $iemob[\"snow\"] : \"\";\n $db[$site]['snowd'] = ($iemob[\"snowd\"] >= 0) ? $iemob[\"snowd\"] : \"\";\n $db[$site][\"ratio\"] = -1;\n if ($db[$site][\"snow\"] > 0.0001 && $db[$site][\"pday\"] > 0.0001) {\n $db[$site][\"ratio\"] = intval($db[$site][\"snow\"] / $db[$site][\"pday\"]);\n }\n}\n\n$db = aSortBySecondIndex($db, $sortcol, $sortdir);\n\n$oddrow = true;\n$firstsection = \"\";\n$lastsection = \"\";\nforeach ($db as $site => $value) {\n $oddrow = !$oddrow;\n if (date(\"Ymd\", $value[\"ts\"]) == date(\"Ymd\")) {\n $firstsection .= make_row($value, $oddrow);\n } else {\n $value[\"tmpf\"] = \"\";\n $lastsection .= make_row($value, $oddrow);\n }\n}\n\nfunction get_sortdir($baseurl, $column, $sortCol, $sortDir)\n{\n $newSort = ($sortDir == \"asc\") ? \"desc\" : \"asc\";\n if ($column == $sortCol) return \"{$baseurl}&sortcol=$column&sortdir=$newSort\";\n return \"{$baseurl}&sortcol=$column&sortdir=$sortDir\";\n}\n\n$t->title = \"NWS COOP Current Sortables\";\n\n$cols = array(\n \"ts\" => \"Valid\", \"county\" => \"County\",\n \"sid\" => \"Site ID\", \"name\" => \"Station Name\",\n \"ratio\" => \"Snow to Water Ratio\",\n \"tmpf\" => \"Ob Temperature\", \"max_tmpf\" => \"24 hour High\",\n \"min_tmpf\" => \"24 hour Low\", \"snow\" => \"24 hour Snowfall\",\n \"snowd\" => \"Snowfall Depth\", \"pday\" => \"24 hour rainfall\",\n \"phour\" => \"Rainfall One Hour\", \"snoww\" => \"Snow Water Equivalent\"\n);\nif (!array_key_exists($sortcol, $cols)) {\n xssafe(\"\");\n}\n$t->current_network = \"COOP\";\n\n$nselect = '\";\n\n$wselect = \"\";\n\n$sorts = array(\"asc\" => \"Ascending\", \"desc\" => \"Descending\");\n\n$one = get_sortdir($baseurl, \"sid\", $sortcol, $sortdir);\n$two = get_sortdir($baseurl, \"name\", $sortcol, $sortdir);\n$three = get_sortdir($baseurl, \"county\", $sortcol, $sortdir);\n$four = get_sortdir($baseurl, \"ts\", $sortcol, $sortdir);\n$five = get_sortdir($baseurl, \"tmpf\", $sortcol, $sortdir);\n$six = get_sortdir($baseurl, \"max_tmpf\", $sortcol, $sortdir);\n$seven = get_sortdir($baseurl, \"min_tmpf\", $sortcol, $sortdir);\n$eight = get_sortdir($baseurl, \"pday\", $sortcol, $sortdir);\n$nine = get_sortdir($baseurl, \"snow\", $sortcol, $sortdir);\n$ten = get_sortdir($baseurl, \"ratio\", $sortcol, $sortdir);\n$eleven = get_sortdir($baseurl, \"snowd\", $sortcol, $sortdir);\n$twelve = get_sortdir($baseurl, \"snoww\", $sortcol, $sortdir);\n\n$content = <<\n\n {$nselect}\n\n\n\n
\n\n {$wselect}\n\n\n\n
\n\n\n\n\n\n\n

Sorted by: {$cols[$sortcol]} {$sorts[$sortdir]}.\nTimes are presented in the local time of the site. Click on the identifier to\nget all daily observations for the site. Click on the site name to get more\ninformation on the site. Click on the column heading to sort the column, clicking\nagain will reverse the sort. A new interactive map app\nexists that plots this data on a map.

\n\n
\n
NWSLI:Site Name:Date:Temp at ObMax Air TempMin Air TempPrecipSnowfallSnow DepthSnow Water Equiv
\";\n if (strlen($station) > 0) {\n $rowcontent .= $nwsli;\n } else {\n $rowcontent .= \"\" . $nwsli . \"\";\n }\n\n $rowcontent .= \"\" . $cities[$nwsli][\"name\"] . \"
No Observation Reported for $dddd
\";\n if ($row[\"cts\"]) {\n $dstring = date(\"j M Y gA\", strtotime(substr($row[\"coop_valid\"], 0, 16)));\n }\n\n if (strlen($date) > 0) {\n $rowcontent .= $dstring;\n } else {\n $rowcontent .= \"\" . $dstring . \"\";\n }\n $rowcontent .= \"\" . $tmpf . \"\" . $high . \"\" . $low . \"\" . $rain . \"\" . $snow . \"\" . $snowd . \"\" . $snoww . \"
%s
Source Text\n \" . $dict['sid'] . \"\" . $dict[\"name\"] . \", \" . $dict[\"state\"] . \"\" . $dict[\"county\"] . \"\" . date($fmt, $dict[\"lts\"]) . \"%s%s%s%s%s%s%s%s
\n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\nEOM;\n\n\n$content .= <<\n
Add:Source Text:SiteID:Station Name:County:Valid:Temperatures [F]Hydro
At Ob24h High24h Low24hour RainSnowfallRatioSnow DepthSWE
\n\n\nEOM;\n$t->content = $content;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/COOP/dl/normals.phtml", "content": "title = \"NWS COOP Daily Normals\";\n\n$year = date(\"Y\");\n$network = isset($_REQUEST['network']) ? xssafe($_REQUEST['network']) : 'IACLIMATE';\n$nselect = networkSelect($network, \"\");\n$mselect = monthSelect(\"month\");\n$dselect = daySelect(\"day\");\n\n$sselect = selectNetworkType(\"CLIMATE\", $network);\n\n$t->content = <<With this interface, you can download daily climate normals for NWS COOP\nsites. Please fill out the form below:

\n\n

Data is available from the following states: \n

\n{$sselect}\n\n
\n\n
\n\n

1. Climatology Source:

\n\n

The IEM maintains a set of station idenitifers that does not exactly match\nwhat NCEI uses. When you select the NCEI climatology and an IEM station identifier,\nyou are getting the cross reference between the two idenitifer sets. Hopefully, this\nis generally one to one, but it could be \"nearest station\"

\n\nSelect Data Source
\n \n\n

2. Download Type:

\n\n
\n
\n

2a. Select Station:
\n\n Single Station, All Days\n\n
{$nselect}\n\n

\n
\n

2b. Select Month & Date:
\n\n All Stations, One Day\n\n
Select Month: {$mselect}\n
Select Day: {$dselect}\n

\n
\n\n

3. Download Options:

\n\n

\n\n

4. Submit Form:


\n\n\n

\n\n

Data includes Lat/Lon information.\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/COOP/extremes.css", "content": "/* COOP Extremes App Styles */\n\n/* Loading indicator */\n.spinner-border {\n width: 3rem;\n height: 3rem;\n}\n\n/* Sticky table header */\n.sticky {\n position: sticky;\n top: 0;\n background-color: var(--bs-light);\n z-index: 10;\n}\n\n/* Table styling improvements */\n.table-responsive {\n margin-top: 1rem;\n overflow-x: auto;\n}\n\n/* Tabulator horizontal scrolling */\n.tabulator {\n overflow-x: auto !important;\n width: 100% !important;\n}\n\n.tabulator .tabulator-tableHolder {\n overflow-x: auto !important;\n}\n\n#data-table {\n margin-bottom: 0;\n min-width: 1300px; /* Ensure minimum width for all columns */\n}\n\n#data-table th {\n background-color: var(--bs-light);\n font-weight: 600;\n border-bottom: 2px solid var(--bs-border-color);\n}\n\n#data-table th a {\n color: var(--bs-primary);\n text-decoration: none;\n}\n\n#data-table th a:hover {\n color: var(--bs-primary);\n text-decoration: underline;\n}\n\n/* Mobile responsive improvements */\n@media (max-width: 768px) {\n .table-responsive {\n font-size: 0.875rem;\n }\n \n #data-table th,\n #data-table td {\n padding: 0.5rem 0.25rem;\n white-space: nowrap;\n }\n \n /* Hide less critical columns on small screens */\n .hide-mobile {\n display: none;\n }\n}\n\n/* API info styling */\n#api-info {\n margin-top: 1rem;\n margin-bottom: 1rem;\n}\n\n#api-info code {\n word-break: break-all;\n background-color: var(--bs-gray-100);\n padding: 0.25rem 0.5rem;\n border-radius: 0.25rem;\n}\n\n/* Form styling */\n#controls-form {\n margin-bottom: 1rem;\n}\n\n#controls-form .table {\n margin-bottom: 0;\n}\n\n/* Form controls styling */\n#controls-form .card {\n border: 1px solid #dee2e6;\n margin-bottom: 1.5rem;\n}\n\n#controls-form .card-header {\n background-color: #f8f9fa;\n border-bottom: 1px solid #dee2e6;\n padding: 0.75rem 1rem;\n}\n\n#controls-form .card-header h6 {\n color: #0d6efd;\n font-weight: 600;\n}\n\n#controls-form .form-label {\n font-weight: 500;\n margin-bottom: 0.25rem;\n}\n\n#controls-form .form-select,\n#controls-form .btn {\n font-size: 0.875rem;\n}\n\n/* Header section */\n#header-section h3 {\n color: #0d6efd;\n font-size: 1.5rem;\n}\n\n#header-section h4 {\n font-size: 1.25rem;\n font-weight: 600;\n}\n\n#header-section .text-muted {\n font-size: 0.9rem;\n}\n\n/* Error state styling */\n.error-message {\n color: var(--bs-danger);\n padding: 1rem;\n background-color: var(--bs-danger-bg-subtle);\n border: 1px solid var(--bs-danger-border-subtle);\n border-radius: 0.375rem;\n margin: 1rem 0;\n}\n\n/* Mode explanation alert */\n.alert-info h5 {\n color: #0c5460;\n font-size: 1rem;\n margin-bottom: 0.75rem;\n}\n\n.alert-info .row > div {\n padding: 0.5rem;\n}\n\n.alert-info strong {\n color: #0c5460;\n font-size: 0.95rem;\n}\n\n.alert-info .small {\n line-height: 1.4;\n margin-top: 0.25rem;\n}\n\n/* Back button styling */\n.btn-outline-primary.btn-sm {\n font-size: 0.8rem;\n padding: 0.375rem 0.75rem;\n}\n\n/* Column grouping visual separation */\n.temp-group {\n border-left: 3px solid var(--bs-warning);\n}\n\n.precip-group {\n border-left: 3px solid var(--bs-info);\n}\n\n/* Sortable column indicators */\n.sortable {\n cursor: pointer;\n user-select: none;\n}\n\n.sortable:hover {\n background-color: var(--bs-gray-100);\n}\n\n.sort-indicator {\n margin-left: 0.25rem;\n opacity: 0.5;\n font-size: 0.75rem;\n}\n\n.sort-indicator.active {\n opacity: 1;\n}\n\n/* Map container and view toggle */\n#view-toggle {\n margin-bottom: 1rem;\n}\n\n#view-toggle .btn-group {\n box-shadow: 0 2px 4px rgba(0,0,0,0.1);\n}\n\n#map-container {\n height: 500px;\n width: 100%;\n border: 2px solid var(--bs-border-color);\n border-radius: 0.375rem;\n margin-bottom: 1rem;\n position: relative;\n}\n\n#map-container.hidden {\n display: none;\n}\n\n/* Map popup styling */\n.ol-popup {\n position: absolute;\n background-color: white;\n box-shadow: 0 1px 4px rgba(0,0,0,0.2);\n padding: 15px;\n border-radius: 10px;\n border: 1px solid #cccccc;\n bottom: 12px;\n left: -50px;\n min-width: 280px;\n max-width: 400px;\n}\n\n.ol-popup:after, .ol-popup:before {\n top: 100%;\n border: solid transparent;\n content: \" \";\n height: 0;\n width: 0;\n position: absolute;\n pointer-events: none;\n}\n\n.ol-popup:after {\n border-top-color: white;\n border-width: 10px;\n left: 48px;\n margin-left: -10px;\n}\n\n.ol-popup:before {\n border-top-color: #cccccc;\n border-width: 11px;\n left: 48px;\n margin-left: -11px;\n}\n\n.ol-popup-closer {\n text-decoration: none;\n position: absolute;\n top: 2px;\n right: 8px;\n font-size: 16px;\n color: #999;\n}\n\n.ol-popup-closer:after {\n content: \"✖\";\n}\n\n.ol-popup-content {\n font-size: 14px;\n}\n\n.ol-popup-content h5 {\n margin: 0 0 5px 0;\n color: var(--bs-primary);\n}\n\n.popup-data-table {\n width: 100%;\n font-size: 12px;\n margin-top: 8px;\n}\n\n.popup-data-table td {\n padding: 2px 6px;\n border-bottom: 1px solid #eee;\n}\n\n.popup-data-table .label {\n font-weight: bold;\n color: #666;\n}\n\n/* Mobile responsive map */\n@media (max-width: 768px) {\n #map-container {\n height: 400px;\n }\n \n .ol-popup {\n min-width: 200px;\n max-width: 280px;\n font-size: 12px;\n }\n \n .map-controls {\n position: relative;\n top: auto;\n left: auto;\n margin-bottom: 10px;\n width: 100%;\n display: flex;\n align-items: center;\n gap: 8px;\n }\n \n .map-controls label {\n white-space: nowrap;\n }\n}\n\n/* Layer switcher customization */\n.layer-switcher {\n position: absolute;\n top: 10px;\n right: 10px;\n background: rgba(255, 255, 255, 0.95);\n border-radius: 4px;\n box-shadow: 0 2px 4px rgba(0,0,0,0.2);\n}\n\n.layer-switcher button {\n background: none;\n border: none;\n padding: 8px;\n cursor: pointer;\n}\n\n.layer-switcher button:hover {\n background: rgba(0,0,0,0.1);\n}\n\n/* Legend for temperature colors */\n.legend-title {\n font-weight: bold;\n margin-bottom: 3px;\n color: var(--bs-primary);\n font-size: 12px;\n}\n\n.legend-subtitle {\n font-size: 10px;\n color: #666;\n margin-bottom: 3px;\n font-style: italic;\n}\n\n.legend-item {\n display: flex;\n align-items: center;\n margin-bottom: 2px;\n}\n\n.legend-color {\n width: 12px;\n height: 12px;\n border-radius: 2px;\n margin-right: 5px;\n border: 1px solid #fff;\n}\n\n/* Map controls */\n.map-controls {\n position: absolute;\n top: 10px;\n left: 10px;\n background: rgba(255, 255, 255, 0.95);\n padding: 12px;\n border-radius: 6px;\n box-shadow: 0 2px 6px rgba(0,0,0,0.15);\n z-index: 100;\n font-size: 13px;\n min-width: 200px;\n}\n\n.control-row {\n display: flex;\n align-items: center;\n gap: 8px;\n margin-bottom: 8px;\n}\n\n.control-row:last-of-type {\n margin-bottom: 0;\n}\n\n.control-row label {\n font-weight: 500;\n margin: 0;\n white-space: nowrap;\n}\n\n/* Year filter specific styling */\n.control-row:has(#year-filter) {\n border-top: 1px solid #e9ecef;\n padding-top: 8px;\n margin-top: 8px;\n}\n\n.control-row:has(#year-filter) label {\n color: #6c757d;\n font-size: 12px;\n}\n\n.legend-row {\n display: flex;\n align-items: flex-start;\n gap: 8px;\n}\n\n.legend-row label {\n font-weight: 500;\n margin: 0;\n white-space: nowrap;\n margin-top: 2px;\n}\n\n.map-legend {\n flex: 1;\n font-size: 11px;\n}\n\n.map-controls select {\n width: auto;\n display: inline-block;\n}\n\n/* Tabulator table styling overrides */\n.tabulator {\n border: 1px solid var(--bs-border-color) !important;\n border-radius: 0.375rem !important;\n font-size: 0.875rem !important;\n background-color: var(--bs-body-bg) !important;\n}\n\n.tabulator .tabulator-header {\n background-color: var(--bs-light) !important;\n border-bottom: 2px solid var(--bs-border-color) !important;\n font-weight: 600 !important;\n}\n\n.tabulator .tabulator-header .tabulator-col {\n background-color: var(--bs-light) !important;\n border-right: 1px solid var(--bs-border-color) !important;\n color: var(--bs-body-color) !important;\n}\n\n.tabulator .tabulator-header .tabulator-col .tabulator-col-content {\n padding: 8px 6px !important;\n white-space: nowrap !important;\n overflow: hidden !important;\n text-overflow: ellipsis !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row {\n border-bottom: 1px solid var(--bs-border-color) !important;\n background-color: transparent !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row:hover {\n background-color: var(--bs-light) !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row .tabulator-cell {\n border-right: 1px solid var(--bs-border-color) !important;\n padding: 6px 8px !important;\n vertical-align: middle !important;\n white-space: nowrap !important;\n overflow: hidden !important;\n text-overflow: ellipsis !important;\n}\n\n/* Tabulator row striping */\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row:nth-child(even) {\n background-color: rgba(0, 0, 0, 0.05) !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row:nth-child(even):hover {\n background-color: var(--bs-light) !important;\n}\n\n/* Station/Date column special styling */\n.tabulator .tabulator-cell.station-col {\n font-weight: 600 !important;\n background-color: rgba(13, 110, 253, 0.1) !important;\n}\n\n.tabulator .tabulator-cell.years-col {\n text-align: center !important;\n font-weight: 500 !important;\n}\n\n/* Numeric cell alignment */\n.tabulator .tabulator-cell.temp-group,\n.tabulator .tabulator-cell.precip-group {\n text-align: right !important;\n}\n\n/* Column header improvements */\n.tabulator .tabulator-header .tabulator-col.temp-group .tabulator-col-content {\n background-color: rgba(255, 193, 7, 0.1) !important;\n}\n\n.tabulator .tabulator-header .tabulator-col.precip-group .tabulator-col-content {\n background-color: rgba(13, 202, 240, 0.1) !important;\n}\n\n/* Frozen column styling */\n.tabulator .tabulator-cell.station-col {\n position: sticky !important;\n left: 0 !important;\n z-index: 5 !important;\n border-right: 2px solid var(--bs-border-color) !important;\n}\n\n.tabulator .tabulator-header .tabulator-col:first-child {\n position: sticky !important;\n left: 0 !important;\n z-index: 10 !important;\n border-right: 2px solid var(--bs-border-color) !important;\n}\n\n/* Enhanced Tabulator styling for frozen columns and height */\n.tabulator .tabulator-freeze-left {\n border-right: 2px solid var(--bs-primary) !important;\n background-color: var(--bs-light) !important;\n z-index: 10 !important;\n}\n\n.tabulator .tabulator-freeze-left .tabulator-cell {\n background-color: var(--bs-light) !important;\n font-weight: 500 !important;\n}\n\n.tabulator .tabulator-freeze-left:hover .tabulator-cell {\n background-color: var(--bs-info) !important;\n}\n\n/* Ensure proper table height and scrolling */\n.tabulator .tabulator-tableHolder {\n max-height: calc(70vh - 120px) !important; /* Account for header and pagination */\n overflow-y: auto !important;\n}\n\n/* Pagination styling for better visibility */\n.tabulator .tabulator-footer {\n border-top: 2px solid var(--bs-border-color) !important;\n background-color: var(--bs-light) !important;\n padding: 8px !important;\n}\n\n.tabulator .tabulator-paginator {\n color: var(--bs-body-color) !important;\n}\n\n.tabulator .tabulator-page {\n color: var(--bs-primary) !important;\n border: 1px solid var(--bs-border-color) !important;\n background-color: var(--bs-body-bg) !important;\n}\n\n.tabulator .tabulator-page.active {\n background-color: var(--bs-primary) !important;\n color: white !important;\n}\n\n/* Column grouping visual indicators for Tabulator */\n.tabulator .tabulator-header .temp-group {\n border-left: 3px solid var(--bs-warning) !important;\n}\n\n.tabulator .tabulator-header .precip-group {\n border-left: 3px solid var(--bs-info) !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row .temp-group {\n border-left: 3px solid var(--bs-warning) !important;\n}\n\n.tabulator .tabulator-tableHolder .tabulator-table .tabulator-row .precip-group {\n border-left: 3px solid var(--bs-info) !important;\n}\n\n/* Links in Tabulator cells */\n.tabulator .tabulator-cell a {\n color: var(--bs-primary) !important;\n text-decoration: none !important;\n}\n\n.tabulator .tabulator-cell a:hover {\n color: var(--bs-primary) !important;\n text-decoration: underline !important;\n}\n\n/* Prevent text wrapping in table cells */\n.tabulator .tabulator-cell {\n white-space: nowrap !important;\n overflow: hidden !important;\n text-overflow: ellipsis !important;\n}\n\n.tabulator .tabulator-header .tabulator-col .tabulator-col-content {\n white-space: nowrap !important;\n overflow: hidden !important;\n text-overflow: ellipsis !important;\n}\n\n/* Sort arrow styling */\n.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-sorter {\n right: 4px !important;\n}\n\n.tabulator .tabulator-header .tabulator-col.tabulator-sortable .tabulator-col-content:hover {\n background-color: rgba(0, 0, 0, 0.1) !important;\n}\n\n/* Improve frozen column appearance */\n.tabulator .tabulator-frozen.tabulator-frozen-left {\n border-right: 2px solid var(--bs-primary) !important;\n}\n\n/* Better responsive handling */\n@media (max-width: 1200px) {\n .tabulator {\n font-size: 0.75rem !important;\n }\n \n .tabulator .tabulator-header .tabulator-col .tabulator-col-content {\n padding: 6px 4px !important;\n }\n \n .tabulator .tabulator-tableHolder .tabulator-table .tabulator-row .tabulator-cell {\n padding: 4px 6px !important;\n }\n}\n" }, { "path": "htdocs/COOP/extremes.js", "content": "/**\n * COOP Extremes App - Simple function-based implementation\n * Handles data fetching, table rendering, and sorting for climatology data\n */\n\n/* global ol, Tabulator */\n\n// Global app state\nconst appState = {\n config: null,\n data: null,\n sortColumn: null,\n sortDirection: null,\n isStationView: false,\n map: null,\n vectorSource: null,\n popup: null,\n currentApiUrl: null,\n labelAttribute: 'avg_high', // Default label attribute - use numeric for legend\n colorRanges: null, // Will store calculated color ranges for current attribute\n table: null, // Tabulator instance\n yearFilter: null, // Selected year for filtering\n allFeatures: null // Store all features for filtering\n};\n\n/**\n * Initialize the application\n */\nfunction initializeApp() {\n appState.config = getConfig();\n appState.sortColumn = appState.config.sortcol;\n appState.sortDirection = appState.config.sortdir;\n appState.isStationView = Boolean(appState.config.station);\n appState.labelAttribute = appState.config.labelAttribute; // Set from URL parameter\n appState.yearFilter = appState.config.yearFilter; // Set from URL parameter\n\n // Hide/show components based on view mode\n if (appState.isStationView) {\n // Station view - hide map and form controls\n const mapContainer = document.getElementById('map-container');\n const formContainer = document.getElementById('controls-form');\n if (mapContainer) {\n mapContainer.style.display = 'none';\n }\n if (formContainer) {\n formContainer.style.display = 'none';\n }\n } else {\n // Date view - show form controls, hide form in station view\n const formContainer = document.getElementById('controls-form');\n if (formContainer) {\n formContainer.style.display = 'block';\n }\n }\n\n showLoading(true);\n\n fetchData()\n .then(() => {\n renderHeader();\n updateTable();\n showApiInfo();\n if (!appState.isStationView) {\n initializeMap();\n }\n attachEventListeners();\n })\n .catch((error) => {\n showError(`Failed to load climatology data: ${error.message}`);\n })\n .finally(() => {\n showLoading(false);\n });\n}\n\n/**\n * Extract configuration from DOM elements (form inputs, URL parameters)\n */\nfunction getConfig() {\n // Get URL parameters\n const urlParams = new URLSearchParams(window.location.search);\n\n // Helper to get value from URL or fallback\n function getParamOrInput(param, selector, fallback) {\n const urlVal = urlParams.get(param);\n if (urlVal !== null && urlVal !== undefined && urlVal !== '') {\n return urlVal;\n }\n const input = document.querySelector(selector);\n if (input && input.value !== undefined && input.value !== '') {\n return input.value;\n }\n return fallback;\n }\n\n return {\n tbl: getParamOrInput('tbl', 'select[name=\"tbl\"]', 'climate'),\n month: parseInt(getParamOrInput('month', 'select[name=\"month\"]', new Date().getMonth() + 1), 10),\n day: parseInt(getParamOrInput('day', 'select[name=\"day\"]', new Date().getDate()), 10),\n sortcol: getParamOrInput('sortcol', 'unused', 'station'),\n network: getParamOrInput('network', 'select[name=\"network\"]', 'IACLIMATE'),\n station: urlParams.get('station') || null,\n sortdir: getParamOrInput('sortdir', 'unused', 'ASC'),\n labelAttribute: getParamOrInput('label', 'unused', 'avg_high'),\n yearFilter: getParamOrInput('year', 'unused', null)\n };\n}\n\n\n\n/**\n * Fetch climatology data from appropriate API endpoint\n */\nfunction fetchData() {\n const vars = appState.config;\n const syear = getStartYear(vars.tbl);\n const eyear = getEndYear(vars.tbl);\n const apiUrl = vars.station\n ? `/json/climodat_stclimo.py?station=${vars.station}&syear=${syear}&eyear=${eyear}`\n : `/geojson/climodat_dayclimo.py?network=${vars.network}&month=${vars.month}&day=${vars.day}&syear=${syear}&eyear=${eyear}`;\n\n appState.currentApiUrl = apiUrl;\n\n return fetch(apiUrl)\n .then((response) => {\n if (!response.ok) {\n throw new Error(`HTTP ${response.status}: ${response.statusText}`);\n }\n return response.json();\n })\n .then((jsonData) => {\n if (vars.station) {\n // Process station data\n appState.data = jsonData.climatology.map((item) => ({\n ...item,\n valid: new Date(2000, item.month - 1, item.day) // Create date for sorting\n }));\n } else {\n // Process day data from GeoJSON\n appState.data = jsonData.features.map((feature) => feature.properties);\n }\n });\n};\n\n/**\n * Get start year based on table selection\n */\nfunction getStartYear(tbl) {\n switch (tbl) {\n case 'climate51': return 1951;\n case 'climate71': return 1971;\n case 'climate81': return 1981;\n default: return 1800;\n }\n};\n\n/**\n * Get end year based on table selection\n */\nfunction getEndYear(tbl) {\n switch (tbl) {\n case 'climate71': return 2001;\n case 'climate81': return 2011;\n default: return new Date().getFullYear() + 1;\n }\n};\n\n/**\n * Render header section with clear mode indication\n */\nfunction renderHeader() {\n const headerSection = document.getElementById('header-section');\n const vars = appState.config;\n const headerHtml = vars.station ? (() => {\n // Station mode - Daily Climatology for Single Station\n const backLink = `extremes.php?network=${vars.network}&tbl=${vars.tbl}&month=${vars.month}&day=${vars.day}&label=${appState.labelAttribute}${appState.yearFilter ? `&year=${appState.yearFilter}` : ''}`;\n return `\n

\n
\n

🏛️ Daily Climatology for Single Station

\n

Station: ${vars.station}

\n

Showing records for all days of the year at this station

\n
\n
\n \n Back Back to Date View\n \n
\n
\n `;\n })() : (() => {\n // Date mode - Single Date Climatology for State\n const date = new Date(2000, vars.month - 1, vars.day);\n const dateStr = date.toLocaleDateString('en-US', { month: 'long', day: 'numeric' });\n const networkName = getNetworkDisplayName(vars.network);\n return `\n
\n

🌡️ Single Date Climatology for State

\n

${dateStr} - ${networkName}

\n

Showing records for all stations on this date. Click any station ID to see its full year of data.

\n
\n `;\n })();\n\n headerSection.innerHTML = headerHtml;\n};\n\n/**\n * Get display name for network\n */\nfunction getNetworkDisplayName(network) {\n const networkNames = {\n 'IACLIMATE': 'Iowa',\n 'ILCLIMATE': 'Illinois',\n 'INCLIMATE': 'Indiana',\n 'KSCLIMATE': 'Kansas',\n 'KYCLIMATE': 'Kentucky',\n 'MICLIMATE': 'Michigan',\n 'MNCLIMATE': 'Minnesota',\n 'MOCLIMATE': 'Missouri',\n 'NECLIMATE': 'Nebraska',\n 'NDCLIMATE': 'North Dakota',\n 'OHCLIMATE': 'Ohio',\n 'SDCLIMATE': 'South Dakota',\n 'WICLIMATE': 'Wisconsin'\n };\n return networkNames[network] || network;\n};\n\n/**\n * Initialize Tabulator table\n */\nfunction initializeTable() {\n const columns = getTableColumns();\n\n appState.table = new Tabulator(\"#data-table\", {\n data: prepareTableData(), // Use prepared data instead of raw data\n layout: \"fitDataTable\",\n responsiveLayout: \"hide\",\n pagination: \"local\",\n paginationSize: 10, // Show 10 rows by default\n paginationSizeSelector: [10, 25, 50, 100],\n height: \"70vh\", // Set table height to 70% of viewport height\n movableColumns: true,\n resizableColumns: true,\n tooltips: true,\n columnHeaderSortMulti: false,\n scrollHorizontal: true, // Enable horizontal scrolling\n freezeFirstColumn: true, // Freeze the first column\n headerSort: true, // Make headers sticky\n columns,\n placeholder: \"No climatology data available for the selected criteria\",\n initialSort: [\n {column: appState.isStationView ? \"date_link\" : \"station_link\", dir: \"asc\"}\n ]\n });\n\n // Add export buttons after table is created\n addExportButtons();\n}\n\n/**\n * Get column definitions for Tabulator based on view type\n */\nfunction getTableColumns() {\n const firstColumnTitle = appState.isStationView ? 'Date' : 'Station';\n const firstColumnField = appState.isStationView ? 'date_link' : 'station_link';\n\n return [\n {\n title: firstColumnTitle,\n field: firstColumnField,\n formatter: \"html\",\n width: appState.isStationView ? 120 : 200, // Wider for station names\n headerSort: true,\n cssClass: \"station-col\",\n sorter(a, b, aRow, bRow) {\n // Use proper sorting for dates in station view\n if (appState.isStationView) {\n const aSort = aRow.getData().date_sort || 0;\n const bSort = bRow.getData().date_sort || 0;\n return aSort - bSort;\n }\n // For station names, use the station id\n const aText = aRow.getData().station || '';\n const bText = bRow.getData().station || '';\n return aText.localeCompare(bText);\n }\n },\n {\n title: \"Years\",\n field: \"years\",\n width: 60,\n headerSort: true,\n formatter(cell) {\n return cell.getValue() || '';\n }\n },\n // High Temperature column group\n {\n title: \"Avg High °F\",\n field: \"avg_high\",\n width: 90,\n formatter(cell) {\n return formatNumber(cell.getValue(), 1);\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Max High °F\",\n field: \"max_high\",\n width: 90,\n formatter(cell) {\n return cell.getValue() || '';\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Max High Year\",\n field: \"max_high_years\",\n width: 100,\n formatter(cell) {\n return formatYears(cell.getValue());\n },\n cssClass: \"temp-group\",\n sorter(a, b) {\n // Custom sorter for year arrays\n const aStr = Array.isArray(a) ? a.join('') : String(a || '');\n const bStr = Array.isArray(b) ? b.join('') : String(b || '');\n return aStr.localeCompare(bStr);\n }\n },\n {\n title: \"Min High °F\",\n field: \"min_high\",\n width: 90,\n formatter(cell) {\n return cell.getValue() || '';\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Min High Year\",\n field: \"min_high_years\",\n width: 100,\n formatter(cell) {\n return formatYears(cell.getValue());\n },\n cssClass: \"temp-group\",\n sorter(a, b) {\n const aStr = Array.isArray(a) ? a.join('') : String(a || '');\n const bStr = Array.isArray(b) ? b.join('') : String(b || '');\n return aStr.localeCompare(bStr);\n }\n },\n // Low Temperature column group\n {\n title: \"Avg Low °F\",\n field: \"avg_low\",\n width: 90,\n formatter(cell) {\n return formatNumber(cell.getValue(), 1);\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Max Low °F\",\n field: \"max_low\",\n width: 90,\n formatter(cell) {\n return cell.getValue() || '';\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Max Low Year\",\n field: \"max_low_years\",\n width: 100,\n formatter(cell) {\n return formatYears(cell.getValue());\n },\n cssClass: \"temp-group\",\n sorter(a, b) {\n const aStr = Array.isArray(a) ? a.join('') : String(a || '');\n const bStr = Array.isArray(b) ? b.join('') : String(b || '');\n return aStr.localeCompare(bStr);\n }\n },\n {\n title: \"Min Low °F\",\n field: \"min_low\",\n width: 90,\n formatter(cell) {\n return cell.getValue() || '';\n },\n cssClass: \"temp-group\",\n sorter: \"number\"\n },\n {\n title: \"Min Low Year\",\n field: \"min_low_years\",\n width: 100,\n formatter(cell) {\n return formatYears(cell.getValue());\n },\n cssClass: \"temp-group\",\n sorter(a, b) {\n const aStr = Array.isArray(a) ? a.join('') : String(a || '');\n const bStr = Array.isArray(b) ? b.join('') : String(b || '');\n return aStr.localeCompare(bStr);\n }\n },\n // Precipitation column group\n {\n title: \"Avg Precip in\",\n field: \"avg_precip\",\n width: 100,\n formatter(cell) {\n return formatNumber(cell.getValue(), 2);\n },\n cssClass: \"precip-group\",\n sorter: \"number\"\n },\n {\n title: \"Max Precip in\",\n field: \"max_precip\",\n width: 100,\n formatter(cell) {\n return formatNumber(cell.getValue(), 2);\n },\n cssClass: \"precip-group\",\n sorter: \"number\"\n },\n {\n title: \"Max Precip Year\",\n field: \"max_precip_years\",\n width: 110,\n formatter(cell) {\n return formatYears(cell.getValue());\n },\n cssClass: \"precip-group\",\n sorter(a, b) {\n const aStr = Array.isArray(a) ? a.join('') : String(a || '');\n const bStr = Array.isArray(b) ? b.join('') : String(b || '');\n return aStr.localeCompare(bStr);\n }\n }\n ];\n}\n\n/**\n * Update table with new data\n */\nfunction updateTable() {\n if (!appState.table) {\n initializeTable();\n return;\n }\n\n // Prepare data for Tabulator\n const tableData = prepareTableData();\n appState.table.setData(tableData);\n\n // Ensure export buttons are present\n addExportButtons();\n}\n\n/**\n * Prepare data for Tabulator display\n */\nfunction prepareTableData() {\n if (!appState.data || appState.data.length === 0) {\n return [];\n }\n\n const vars = appState.config;\n\n return appState.data.map((row) => {\n const linkData = appState.isStationView ? (() => {\n // Station view - link to date\n const date = new Date(2000, row.month - 1, row.day);\n const dateStr = date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' });\n let link = `extremes.php?day=${row.day}&month=${row.month}&network=${vars.network}&tbl=${vars.tbl}`;\n if (appState.labelAttribute) {\n link += `&label=${appState.labelAttribute}`;\n }\n if (appState.yearFilter) {\n link += `&year=${appState.yearFilter}`;\n }\n return {\n linkCell: `${dateStr}`,\n linkField: 'date_link'\n };\n })() : (() => {\n // Day view - link to station with name and ID\n let link = `extremes.php?station=${row.station}&network=${vars.network}&tbl=${vars.tbl}`;\n if (appState.labelAttribute) {\n link += `&label=${appState.labelAttribute}`;\n }\n if (appState.yearFilter) {\n link += `&year=${appState.yearFilter}`;\n }\n\n // Use station name if available, otherwise fall back to station ID\n const displayText = row.name ? `${row.name} (${row.station})` : row.station;\n return {\n linkCell: `${displayText}`,\n linkField: 'station_link'\n };\n })();\n\n // Create a new object with the link field\n const tableRow = { ...row };\n tableRow[linkData.linkField] = linkData.linkCell;\n\n // Add sortable date field for station view (month*100 + day gives proper numeric sort)\n if (appState.isStationView) {\n tableRow.date_sort = row.month * 100 + row.day;\n }\n\n return tableRow;\n });\n}\n\n/**\n * Format numeric values with specified decimal places\n */\nfunction formatNumber(value, decimals) {\n if (value === null || value === undefined || value === '') {return '';}\n return parseFloat(value).toFixed(decimals);\n};\n\n/**\n * Format year arrays as comma-separated strings\n */\nfunction formatYears(years) {\n if (!years || !Array.isArray(years)) {return '';}\n return years.join(', ');\n};\n\n/**\n * Show/hide loading indicator\n */\nfunction showLoading(show) {\n const loadingIndicator = document.getElementById('loading-indicator');\n const contentArea = document.getElementById('content-area');\n\n if (loadingIndicator) {\n loadingIndicator.style.display = show ? 'block' : 'none';\n }\n if (contentArea) {\n contentArea.style.display = show ? 'none' : 'block';\n }\n};\n\n/**\n * Show API information\n */\nfunction showApiInfo() {\n const apiInfo = document.getElementById('api-info');\n const apiUrl = document.getElementById('api-url');\n\n if (apiInfo && apiUrl) {\n if (appState.currentApiUrl) {\n apiUrl.textContent = appState.currentApiUrl;\n apiInfo.style.display = 'block';\n }\n }\n};\n\n/**\n * Show error message\n */\nfunction showError(message) {\n const contentArea = document.getElementById('content-area');\n const errorDiv = document.createElement('div');\n errorDiv.className = 'error-message';\n errorDiv.innerHTML = `\n
Error Loading Data
\n

${message}

\n

Please try again or contact support if the problem persists.

\n `;\n\n if (contentArea) {\n contentArea.insertBefore(errorDiv, contentArea.firstChild);\n }\n};\n\n/**\n * Attach event listeners for enhanced interactions\n */\nfunction attachEventListeners() {\n // Helper to add change listeners to form elements\n function addFormChangeListeners(form) {\n const selectors = ['select[name=\"network\"]', 'select[name=\"month\"]', 'select[name=\"day\"]', 'select[name=\"tbl\"]'];\n selectors.forEach((selector) => {\n const el = form.querySelector(selector);\n if (el) {\n el.addEventListener('change', handleFormChange);\n }\n });\n }\n\n // Handle form changes dynamically (don't submit, just update data)\n const form = document.getElementById('controls-form');\n const submitBtn = document.getElementById('form-submit-btn');\n const dynamicIndicator = document.getElementById('dynamic-indicator');\n\n if (form && !appState.isStationView) {\n // Update submit button text for dynamic mode\n if (submitBtn) {\n submitBtn.value = 'Update View';\n submitBtn.style.backgroundColor = '#0d6efd';\n submitBtn.style.color = 'white';\n submitBtn.style.border = '1px solid #0d6efd';\n }\n\n // Show dynamic indicator\n if (dynamicIndicator) {\n dynamicIndicator.style.display = 'block';\n }\n\n // Prevent form submission\n form.addEventListener('submit', (e) => {\n e.preventDefault();\n handleFormChange();\n return false;\n });\n\n // Add change listeners to all form elements\n addFormChangeListeners(form);\n }\n\n // Handle browser back/forward navigation\n window.addEventListener('popstate', () => {\n // Reload the page to handle URL parameter changes\n window.location.reload();\n });\n\n // Handle label attribute changes for map\n const labelSelect = document.getElementById('label-attribute');\n if (labelSelect && !appState.isStationView) {\n // Set initial value\n labelSelect.value = appState.labelAttribute;\n\n labelSelect.addEventListener('change', function() {\n appState.labelAttribute = this.value;\n appState.config.labelAttribute = this.value;\n\n // Update year filter visibility based on new attribute\n updateYearFilterVisibility();\n\n // Repopulate year filter with years relevant to the new attribute\n if (appState.allFeatures && !['avg_high', 'avg_low', 'avg_precip', 'station', 'years'].includes(this.value)) {\n populateYearFilter(appState.allFeatures);\n }\n\n // Update URL to persist the selection\n updateUrl();\n\n // Update map\n updateMapLabels();\n\n // Re-apply year filter since filtering logic depends on selected attribute\n if (appState.yearFilter) {\n applyYearFilter();\n }\n });\n }\n\n // Handle year filter changes for map\n const yearFilter = document.getElementById('year-filter');\n if (yearFilter && !appState.isStationView) {\n // Set initial value from URL parameter\n if (appState.yearFilter) {\n yearFilter.value = appState.yearFilter;\n }\n\n // Set initial visibility based on current attribute\n updateYearFilterVisibility();\n\n yearFilter.addEventListener('change', function() {\n appState.yearFilter = this.value || null;\n appState.config.yearFilter = this.value || null;\n\n // Update URL to persist the selection\n updateUrl();\n\n // Apply filter\n applyYearFilter();\n });\n }\n};\n\n/**\n * Initialize OpenLayers map\n */\nfunction initializeMap() {\n // Create vector source for station data\n appState.vectorSource = new ol.source.Vector();\n\n // Create popup overlay\n const container = document.getElementById('popup');\n const closer = document.getElementById('popup-closer');\n\n appState.popup = new ol.Overlay({\n element: container,\n autoPan: {\n animation: {\n duration: 250\n }\n }\n });\n\n // Close popup when X is clicked\n closer.onclick = function() {\n appState.popup.setPosition();\n closer.blur();\n return false;\n };\n\n // Initialize map\n appState.map = new ol.Map({\n target: 'map-container',\n layers: [\n // Base layers group\n new ol.layer.Group({\n title: 'Base Maps',\n layers: [\n new ol.layer.Tile({\n title: 'OpenStreetMap',\n type: 'base',\n visible: true,\n source: new ol.source.OSM()\n }),\n new ol.layer.Tile({\n title: 'Satellite',\n type: 'base',\n visible: false,\n source: new ol.source.XYZ({\n url: 'https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',\n attributions: 'Tiles © Esri'\n })\n })\n ]\n }),\n // Vector layer for stations\n new ol.layer.Vector({\n title: 'Climate Stations',\n source: appState.vectorSource,\n style: getStationStyle\n })\n ],\n overlays: [appState.popup],\n view: new ol.View({\n center: ol.proj.fromLonLat([-93.5, 42.0]), // Default to Iowa\n zoom: 7\n })\n });\n\n // Add layer switcher control\n const layerSwitcher = new ol.control.LayerSwitcher({\n tipLabel: 'Toggle layer visibility',\n groupSelectStyle: 'children'\n });\n appState.map.addControl(layerSwitcher);\n\n // Add click handler for station popups\n appState.map.on('singleclick', (evt) => {\n const clickedFeature = appState.map.forEachFeatureAtPixel(evt.pixel, (feature) => feature);\n if (clickedFeature) {\n showStationPopup(clickedFeature, evt.coordinate);\n } else {\n appState.popup.setPosition();\n }\n });\n\n // Change cursor when hovering over stations\n appState.map.on('pointermove', (evt) => {\n if (evt.dragging) {return;}\n const pixel = appState.map.getEventPixel(evt.originalEvent);\n const hit = appState.map.hasFeatureAtPixel(pixel);\n const target = appState.map.getTarget();\n if (target?.style) {\n target.style.cursor = hit ? 'pointer' : '';\n }\n });\n\n // Add stations to map if data is available\n if (appState.data) {\n addStationsToMap();\n }\n};\n\n/**\n * Add station data to map as features\n */\nfunction addStationsToMap() {\n if (!appState.vectorSource || appState.isStationView) {return;}\n\n appState.vectorSource.clear();\n\n // Get the original GeoJSON features (we need to fetch again to get coordinates)\n // Since we already processed the data, we need the original GeoJSON\n fetchGeoJSONForMap();\n}\n\n/**\n * Fetch GeoJSON data specifically for map display\n */\nfunction fetchGeoJSONForMap() {\n const vars = appState.config;\n const syear = getStartYear(vars.tbl);\n const eyear = getEndYear(vars.tbl);\n const apiUrl = `/geojson/climodat_dayclimo.py?network=${vars.network}&month=${vars.month}&day=${vars.day}&syear=${syear}&eyear=${eyear}`;\n\n fetch(apiUrl)\n .then((response) => {\n return response.json();\n })\n .then((geoJsonData) => {\n addGeoJSONToMap(geoJsonData);\n })\n .catch(() => {\n // Silently handle error - map will remain empty\n });\n}\n\n/**\n * Add GeoJSON features to the map\n */\nfunction addGeoJSONToMap(geoJsonData) {\n const format = new ol.format.GeoJSON();\n const features = format.readFeatures(geoJsonData, {\n featureProjection: 'EPSG:3857' // Web Mercator for display\n });\n\n // Store all features for filtering\n appState.allFeatures = features;\n\n // Apply current filter\n const filteredFeatures = filterFeaturesByYear(features);\n appState.vectorSource.addFeatures(filteredFeatures);\n\n // Populate year filter dropdown\n populateYearFilter(features);\n\n // Calculate initial color ranges and update legend\n appState.colorRanges = calculateColorRanges();\n updateLegend();\n\n // Fit map to show all stations\n if (filteredFeatures.length > 0) {\n const extent = appState.vectorSource.getExtent();\n appState.map.getView().fit(extent, {\n padding: [20, 20, 20, 20],\n maxZoom: 10\n });\n }\n}\n\n/**\n * Get style for station features based on selected attribute\n */\nfunction getStationStyle(feature) {\n const props = feature.getProperties();\n const value = props[appState.labelAttribute];\n const backgroundColor = getColorForValue(value);\n\n // Refactored for complexity: split getLabelText into smaller helpers (Rule: complexity, refactoring)\n function isNullOrUndefined(val) {\n return val === null || val === undefined;\n }\n\n function formatStationOrYears(val) {\n return String(val);\n }\n\n function formatPrecip(val) {\n return typeof val === 'number' ? `${val.toFixed(2)}\"` : String(val);\n }\n\n function formatHighLow(val) {\n return typeof val === 'number' ? `${Math.round(val)}°` : String(val);\n }\n\n function formatArray(val) {\n return val.join(',');\n }\n\n function formatNumber1(val) {\n return val.toFixed(1);\n }\n\n function getLabelText(val, attr) {\n if (isNullOrUndefined(val)) {return '';}\n if (attr === 'station' || attr === 'years') {\n return formatStationOrYears(val);\n }\n if (attr.includes('precip')) {\n return formatPrecip(val);\n }\n if (attr.includes('high') || attr.includes('low')) {\n return formatHighLow(val);\n }\n if (Array.isArray(val)) {\n return formatArray(val);\n }\n if (typeof val === 'number') {\n return formatNumber1(val);\n }\n return String(val);\n }\n\n const labelText = getLabelText(value, appState.labelAttribute);\n\n return new ol.style.Style({\n text: new ol.style.Text({\n text: labelText,\n font: 'bold 12px Arial',\n fill: new ol.style.Fill({ color: '#333333' }),\n stroke: new ol.style.Stroke({ color: '#ffffff', width: 2 }),\n backgroundFill: new ol.style.Fill({ color: backgroundColor }),\n backgroundStroke: new ol.style.Stroke({ color: '#ffffff', width: 1 }),\n padding: [3, 6, 3, 6]\n })\n });\n};\n\n/**\n * Show popup with station information\n\n\n/**\n * Helper to generate a table row with optional highlight if year matches\n * Exported for use in other functions.\n */\nwindow.popupRow = function popupRow(label, value, yearsArr, yearFilter, valueSuffix = '', formatYearsFn = null) {\n let highlight = '';\n if (yearFilter) {\n if (yearsArr?.includes?.(parseInt(yearFilter))) {\n highlight = ' style=\"background: #fff3cd; font-weight: bold;\"';\n }\n }\n let yearsStr = '';\n if (yearsArr) {\n if (formatYearsFn) {\n yearsStr = formatYearsFn(yearsArr);\n } else {\n yearsStr = yearsArr;\n }\n }\n let suffixYears = '';\n if (yearsArr) {\n suffixYears = ` (${yearsStr})`;\n }\n return `${label}:${value}${valueSuffix}${suffixYears}`;\n};\n\nfunction showStationPopup(feature, coordinate) {\n const props = feature.getProperties();\n const content = document.getElementById('popup-content');\n\n // Use station name if available, otherwise fall back to station ID\n const stationDisplayName = props.name ? `${props.name} (${props.station})` : props.station;\n\n let popupHtml = `
${stationDisplayName}
`;\n\n // If year filter is active, highlight records from that year\n if (appState.yearFilter) {\n const filterYear = parseInt(appState.yearFilter);\n popupHtml += `
\n Showing records from ${filterYear}\n
`;\n }\n\n\n popupHtml += '';\n popupHtml += ``;\n popupHtml += ``;\n\n // Use helper for rows with year highlighting\n popupHtml += window.popupRow('Max High', props.max_high || 'N/A', props.max_high_years, appState.yearFilter, '°F', formatYears);\n popupHtml += window.popupRow('Min High', props.min_high || 'N/A', props.min_high_years, appState.yearFilter, '°F', formatYears);\n popupHtml += ``;\n popupHtml += window.popupRow('Max Low', props.max_low || 'N/A', props.max_low_years, appState.yearFilter, '°F', formatYears);\n popupHtml += window.popupRow('Min Low', props.min_low || 'N/A', props.min_low_years, appState.yearFilter, '°F', formatYears);\n popupHtml += ``;\n popupHtml += window.popupRow('Max Precip', formatNumber(props.max_precip, 2), props.max_precip_years, appState.yearFilter, '\"', formatYears);\n\n popupHtml += `
Years:${props.years || 'N/A'}
Avg High:${formatNumber(props.avg_high, 1)}°F
Avg Low:${formatNumber(props.avg_low, 1)}°F
Avg Precip:${formatNumber(props.avg_precip, 2)}\"
\n

\n View station details →\n

`;\n\n content.innerHTML = popupHtml;\n appState.popup.setPosition(coordinate);\n}\n\n/**\n * Update map labels when attribute selection changes\n */\nfunction updateMapLabels() {\n if (appState.vectorSource) {\n // Recalculate color ranges for new attribute\n appState.colorRanges = calculateColorRanges();\n\n // Update legend\n updateLegend();\n\n // Force redraw of all features by changing the style\n const features = appState.vectorSource.getFeatures();\n features.forEach((feature) => {\n feature.changed();\n });\n }\n}\n\n/**\n * Update the legend based on current attribute and data\n */\nfunction updateLegend() {\n const legendElement = document.querySelector('.map-legend');\n\n if (!legendElement) {\n return;\n }\n\n let legendHtml = '';\n\n if (!appState.colorRanges) {\n // No color ranges (e.g., station names) - show info message instead\n legendElement.style.display = 'block';\n legendElement.innerHTML = `\n
\n ${getAttributeLabel(appState.labelAttribute)} (no color coding)\n
\n `;\n return;\n }\n\n // Show legend with current attribute info\n legendElement.style.display = 'block';\n\n const attributeLabel = getAttributeLabel(appState.labelAttribute);\n\n legendHtml = `\n
\n ${attributeLabel} ranges:\n
\n `;\n\n appState.colorRanges.ranges.forEach((range) => {\n legendHtml += `\n
\n
\n ${range.label}${appState.colorRanges.units}\n
\n `;\n });\n\n legendElement.innerHTML = legendHtml;\n}\n\n/**\n * Get human-readable label for attribute\n */\nfunction getAttributeLabel(attribute) {\n const labels = {\n 'station': 'Station ID',\n 'avg_high': 'Average High Temperature',\n 'max_high': 'Maximum High Temperature',\n 'min_high': 'Minimum High Temperature',\n 'avg_low': 'Average Low Temperature',\n 'max_low': 'Maximum Low Temperature',\n 'min_low': 'Minimum Low Temperature',\n 'avg_precip': 'Average Precipitation',\n 'max_precip': 'Maximum Precipitation',\n 'years': 'Years of Data'\n };\n return labels[attribute] || attribute;\n}\n\n/**\n * Calculate color ranges for the currently selected attribute\n */\nfunction calculateColorRanges() {\n if (!appState.data || appState.data.length === 0) {return null;}\n\n // Skip color calculation for non-numeric attributes\n if (appState.labelAttribute === 'station') {return null;}\n\n // Get all numeric values for the selected attribute\n const values = appState.data\n .map((item) => item[appState.labelAttribute])\n .filter((val) => typeof val === 'number' && !isNaN(val))\n .sort((a, b) => a - b);\n\n if (values.length === 0) {return null;}\n\n const min = values[0];\n const max = values[values.length - 1];\n const range = max - min;\n\n if (range === 0) {return null;}\n\n // For temperature data, use appropriate decimal places\n const isTemp = appState.labelAttribute.includes('high') || appState.labelAttribute.includes('low');\n const isPrecip = appState.labelAttribute.includes('precip');\n const decimals = isPrecip ? 2 : (isTemp ? 0 : 1);\n\n // Create 5 equal ranges\n const step = range / 5;\n\n return {\n min,\n max,\n ranges: [\n { min, max: min + step, color: '#3388ff', label: `${min.toFixed(decimals)} - ${(min + step).toFixed(decimals)}` },\n { min: min + step, max: min + 2 * step, color: '#44bb44', label: `${(min + step).toFixed(decimals)} - ${(min + 2 * step).toFixed(decimals)}` },\n { min: min + 2 * step, max: min + 3 * step, color: '#ffbb44', label: `${(min + 2 * step).toFixed(decimals)} - ${(min + 3 * step).toFixed(decimals)}` },\n { min: min + 3 * step, max: min + 4 * step, color: '#ff8844', label: `${(min + 3 * step).toFixed(decimals)} - ${(min + 4 * step).toFixed(decimals)}` },\n { min: min + 4 * step, max, color: '#ff4444', label: `${(min + 4 * step).toFixed(decimals)} - ${max.toFixed(decimals)}` }\n ],\n units: getAttributeUnits(appState.labelAttribute)\n };\n}\n\n/**\n * Get appropriate units for display based on attribute type\n */\nfunction getAttributeUnits(attribute) {\n if (attribute.includes('precip')) {return '\"';}\n if (attribute.includes('high') || attribute.includes('low')) {return '°F';}\n return '';\n}\n\n/**\n * Get color for a value based on current color ranges\n */\nfunction getColorForValue(value) {\n if (!appState.colorRanges || typeof value !== 'number') {\n return '#cccccc'; // Default gray for non-numeric or missing data\n }\n\n for (let i = 0; i < appState.colorRanges.ranges.length; i++) {\n const range = appState.colorRanges.ranges[i];\n if (i === appState.colorRanges.ranges.length - 1) {\n // Last range includes max value\n if (value >= range.min && value <= range.max) {\n return range.color;\n }\n } else {\n if (value >= range.min && value < range.max) {\n return range.color;\n }\n }\n }\n\n return '#cccccc'; // Default\n}\n\n/**\n * Handle form changes - update URL and reload data dynamically\n */\nfunction handleFormChange() {\n // Get current form values\n const form = document.getElementById('controls-form');\n const networkSelect = form.querySelector('select[name=\"network\"]');\n const monthSelect = form.querySelector('select[name=\"month\"]');\n const daySelect = form.querySelector('select[name=\"day\"]');\n const tblSelect = form.querySelector('select[name=\"tbl\"]');\n\n // Build new URL parameters\n const params = new URLSearchParams(window.location.search);\n\n if (networkSelect) {params.set('network', networkSelect.value);}\n if (monthSelect) {params.set('month', monthSelect.value);}\n if (daySelect) {params.set('day', daySelect.value);}\n if (tblSelect) {params.set('tbl', tblSelect.value);}\n\n // Keep existing sort parameters\n if (appState.config.sortcol) {params.set('sortcol', appState.config.sortcol);}\n if (appState.config.sortdir) {params.set('sortdir', appState.config.sortdir);}\n\n // Keep current label attribute setting\n if (appState.labelAttribute) {params.set('label', appState.labelAttribute);}\n\n // Clear year filter when switching to different dataset (network/date change)\n // The year filter is specific to a particular dataset combination\n appState.yearFilter = null;\n appState.config.yearFilter = null;\n\n // Make sure year parameter is not included in the new URL\n params.delete('year');\n\n // Update URL without page reload\n const newUrl = `${window.location.pathname}?${params.toString()}`;\n window.history.pushState({}, '', newUrl);\n\n // Update app config\n appState.config = getConfig();\n\n // Show loading and reload data\n showLoading(true);\n\n // Clear any existing error messages\n const existingErrors = document.querySelectorAll('.error-message');\n existingErrors.forEach((error) => {\n error.remove();\n });\n\n fetchData()\n .then(() => {\n renderHeader();\n updateTable();\n showApiInfo();\n if (!appState.isStationView) {\n // Clear and reload map data\n if (appState.vectorSource) {\n appState.vectorSource.clear();\n }\n addStationsToMap();\n\n // Reset year filter UI since we have a new dataset\n const yearSelect = document.getElementById('year-filter');\n if (yearSelect) {\n yearSelect.value = '';\n }\n\n // Update year filter visibility for current attribute\n updateYearFilterVisibility();\n }\n })\n .catch((error) => {\n showError(`Failed to load climatology data: ${error.message}`);\n })\n .finally(() => {\n showLoading(false);\n });\n}\n\n/**\n * Update URL with current application state\n */\nfunction updateUrl() {\n const params = new URLSearchParams();\n\n // Add all current config values to ensure they're preserved\n params.set('network', appState.config.network);\n params.set('month', appState.config.month);\n params.set('day', appState.config.day);\n params.set('tbl', appState.config.tbl);\n\n // Only add non-default values to keep URLs clean\n if (appState.config.sortcol && appState.config.sortcol !== 'station') {\n params.set('sortcol', appState.config.sortcol);\n }\n if (appState.config.sortdir && appState.config.sortdir !== 'ASC') {\n params.set('sortdir', appState.config.sortdir);\n }\n if (appState.labelAttribute && appState.labelAttribute !== 'avg_high') {\n params.set('label', appState.labelAttribute);\n }\n if (appState.yearFilter) {\n params.set('year', appState.yearFilter);\n }\n\n const newUrl = `${window.location.pathname}?${params.toString()}`;\n window.history.pushState({}, '', newUrl);\n}\n\n/**\n * Populate the year filter dropdown with available years\n */\nfunction populateYearFilter(features) {\n const yearSelect = document.getElementById('year-filter');\n if (!yearSelect) {return;}\n\n // Collect years based on the currently selected attribute\n const allYears = new Set();\n\n // Determine which year field to use based on current label attribute\n let yearField = null;\n switch (appState.labelAttribute) {\n case 'max_high':\n yearField = 'max_high_years';\n break;\n case 'min_high':\n yearField = 'min_high_years';\n break;\n case 'max_low':\n yearField = 'max_low_years';\n break;\n case 'min_low':\n yearField = 'min_low_years';\n break;\n case 'max_precip':\n yearField = 'max_precip_years';\n break;\n default:\n // For non-record attributes, collect from all year arrays\n yearField = null;\n }\n\n features.forEach((feature) => {\n const props = feature.getProperties();\n\n if (yearField) {\n // Collect years from specific field only\n const years = props[yearField];\n if (Array.isArray(years)) {\n years.forEach((year) => {\n allYears.add(year);\n });\n }\n } else {\n // Collect from all year arrays (for avg attributes)\n const yearArrays = [\n 'max_high_years', 'min_high_years', 'max_low_years',\n 'min_low_years', 'max_precip_years'\n ];\n\n yearArrays.forEach((yearArrayField) => {\n const years = props[yearArrayField];\n if (Array.isArray(years)) {\n years.forEach((year) => {\n allYears.add(year);\n });\n }\n });\n }\n });\n\n // Sort years in descending order\n const sortedYears = Array.from(allYears).sort((a, b) => b - a);\n\n // Clear existing options except \"All Years\"\n yearSelect.innerHTML = '';\n\n // Add year options\n sortedYears.forEach((year) => {\n const option = document.createElement('option');\n option.value = year;\n option.textContent = year;\n if (appState.yearFilter && parseInt(appState.yearFilter) === year) {\n option.selected = true;\n }\n yearSelect.appendChild(option);\n });\n}\n\n/**\n * Filter features by selected year\n */\nfunction filterFeaturesByYear(features) {\n if (!appState.yearFilter) {\n return features; // No filter applied\n }\n\n // Determine which year field to check based on the currently selected attribute\n let yearField = null;\n switch (appState.labelAttribute) {\n case 'max_high':\n yearField = 'max_high_years';\n break;\n case 'min_high':\n yearField = 'min_high_years';\n break;\n case 'max_low':\n yearField = 'max_low_years';\n break;\n case 'min_low':\n yearField = 'min_low_years';\n break;\n case 'max_precip':\n yearField = 'max_precip_years';\n break;\n default:\n // For non-record attributes (avg_high, avg_low, avg_precip, station, years),\n // check if ANY record was set in the selected year\n return features.filter((feature) => {\n const props = feature.getProperties();\n const yearArrays = [\n 'max_high_years', 'min_high_years', 'max_low_years',\n 'min_low_years', 'max_precip_years'\n ];\n\n for (let i = 0; i < yearArrays.length; i++) {\n const years = props[yearArrays[i]];\n if (years?.includes?.(parseInt(appState.yearFilter))) {\n return true;\n }\n }\n return false;\n });\n }\n\n // Filter by specific record type\n return features.filter((feature) => {\n const props = feature.getProperties();\n const years = props[yearField];\n return Boolean(years?.includes?.(parseInt(appState.yearFilter)));\n });\n}\n\n/**\n * Apply year filter to the map\n */\nfunction applyYearFilter() {\n if (!appState.allFeatures || !appState.vectorSource) {return;}\n\n // Clear current features first\n appState.vectorSource.clear();\n\n // Filter features based on selected year\n const filteredFeatures = filterFeaturesByYear(appState.allFeatures);\n\n // Add filtered features to the map (even if it's an empty array)\n if (filteredFeatures.length > 0) {\n appState.vectorSource.addFeatures(filteredFeatures);\n }\n\n // Note: We don't zoom/fit the map view when filtering - this preserves\n // the user's current view and spatial context\n // Note: Color ranges and legend are NOT updated here - they should remain\n // consistent based on the full dataset, not the filtered subset\n}\n\n/**\n * Update year filter visibility based on selected attribute\n */\nfunction updateYearFilterVisibility() {\n const yearFilter = document.querySelector('#year-filter');\n if (!yearFilter) {\n return;\n }\n const yearFilterRow = yearFilter.closest('.control-row');\n if (!yearFilterRow) {\n return;\n }\n\n // Hide year filter for average attributes since they don't have specific record years\n const isAverageAttribute = ['avg_high', 'avg_low', 'avg_precip', 'station', 'years'].includes(appState.labelAttribute);\n\n if (isAverageAttribute) {\n yearFilterRow.style.display = 'none';\n // Clear any active year filter when hiding\n if (appState.yearFilter) {\n appState.yearFilter = null;\n appState.config.yearFilter = null;\n const yearSelect = document.getElementById('year-filter');\n if (yearSelect) {\n yearSelect.value = '';\n }\n // Update URL to remove year parameter\n updateUrl();\n // Apply the cleared filter (show all features)\n if (appState.allFeatures) {\n applyYearFilter();\n }\n }\n } else {\n yearFilterRow.style.display = 'flex';\n }\n}\n\n/**\n * Add export buttons for CSV and Excel download\n */\nfunction addExportButtons() {\n // Create export buttons container\n const tableContainer = document.getElementById('data-table');\n let exportContainer = document.getElementById('table-export-buttons');\n\n if (!exportContainer) {\n exportContainer = document.createElement('div');\n exportContainer.id = 'table-export-buttons';\n exportContainer.className = 'mb-2 d-flex gap-2';\n exportContainer.innerHTML = `${''}\n \n \n `;\n\n // Insert before the table\n tableContainer.parentNode.insertBefore(exportContainer, tableContainer);\n }\n\n // Add event listeners for export buttons\n document.getElementById('download-csv').addEventListener('click', () => {\n const filename = generateExportFilename('csv');\n appState.table.download(\"csv\", filename);\n });\n\n document.getElementById('download-xlsx').addEventListener('click', () => {\n const filename = generateExportFilename('xlsx');\n appState.table.download(\"xlsx\", filename, {sheetName: \"Climate Data\"});\n });\n}\n\n/**\n * Generate appropriate filename for exports\n */\nfunction generateExportFilename(extension) {\n const vars = appState.config;\n const filename = appState.isStationView\n ? `climate_station_${vars.station}`\n : (() => {\n const monthStr = vars.month.toString().padStart(2, '0');\n const dayStr = vars.day.toString().padStart(2, '0');\n const networkStr = vars.network.toLowerCase();\n return `climate_${networkStr}_${monthStr}-${dayStr}`;\n })();\n\n return `${filename}.${extension}`;\n}\n\n// Initialize the app when DOM is ready\ndocument.addEventListener('DOMContentLoaded', initializeApp);\n" }, { "path": "htdocs/COOP/extremes.php", "content": "title = \"NWS COOP Daily Climatology\";\n\n// Get URL parameters with defaults\n$tbl = substr(get_str404(\"tbl\", \"climate\"), 0, 10);\n$month = get_int404(\"month\", date(\"m\"));\n$day = get_int404(\"day\", date(\"d\"));\n$sortcol = get_str404(\"sortcol\", \"station\");\n$network = substr(get_str404(\"network\", \"IACLIMATE\"), 0, 9);\n$station = get_str404(\"station\", null);\n$sortdir = get_str404(\"sortdir\", \"ASC\");\n\n// Build render variables array\n$render_vars = array(\n 'tbl' => $tbl,\n 'month' => $month,\n 'day' => $day,\n 'sortcol' => $sortcol,\n 'network' => $network,\n 'station' => $station,\n 'sortdir' => $sortdir\n);\n\n// Create form selects\n$netselect = selectNetworkType(\"CLIMATE\", $network);\n$mselect = monthSelect($month, \"month\");\n$dselect = daySelect($day, \"day\");\n\n$ar = array(\n \"climate\" => \"All Available\",\n \"climate51\" => \"Since 1951\",\n \"climate71\" => \"1971-2000\",\n \"climate81\" => \"1981-2010\"\n);\n$tblselect = make_select(\"tbl\", $tbl, $ar);\n\n\n$t->content = <<\n \n

Loading climatology data...

\n
\n\n
\n
\n \n
\n\n
\n
Two App Modes Available:
\n
\n
\n 🌡️ Single Date Climatology for State\n

Select a specific date to see records for all stations on that day. Use the form below to choose date and state.

\n
\n
\n 🏛️ Daily Climatology for Single Station\n

Click any station ID in the table to see all daily records for that station throughout the year.

\n
\n
\n
\n\n

This table gives a listing of unofficial daily records for NWS\n COOP stations. You may click on a column to sort it. You can click on the station\n name to get all daily records for that station or click on the date to get all records\n for that date.

\n\n

\n Download Daily Climatology

\n\n
\n

The data found in this table was derived from the following\n JSON webservice:
\n \n

\n
\n\n
\n
\n
\n
🌡️ Single Date Mode Controls
\n Change state or date to view different climatology data\n
\n
\n
\n
\n \n {$netselect}\n
\n
\n \n
\n {$mselect} {$dselect}\n
\n
\n
\n \n {$tblselect}\n
\n
\n \n
\n Changes update automatically\n
\n
\n
\n
\n
\n
\n\n
\n\n \n
\n
\n
\n \n \n
\n
\n \n \n
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\n
\nEOM;\n$t->headextra = <<\n\n\n\nEOM;\n$t->jsextra = <<\n\n\n\nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/COOP/freezing.php", "content": "title = \"Freezing Dates\";\n\n$nt = new NetworkTable($network);\n$cities = $nt->table;\n\n$nselect = selectNetworkType(\"CLIMATE\", $network);\n\n$conn = iemdb(\"coop\");\n\n$query = \"select station, valid, min_low, min_low_yr from climate\n WHERE valid > '2000-08-01' and min_low <= $2\n and substr(station,0,3) = $1 ORDER by valid\";\n$stname = iem_pg_prepare($conn, $query);\n$rs = pg_execute($conn, $stname, array(substr($network, 0, 2), 32));\n\n\n$query = \"select station, valid, low from climate\n WHERE valid > '2000-08-01' and low <= $2\n and substr(station,0,3) = $1 ORDER by valid\";\n$stname = iem_pg_prepare($conn, $query);\n$rs2 = pg_execute($conn, $stname, array(substr($network, 0, 2), 40));\n\n$data = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $st = $row[\"station\"];\n if (!isset($data[$st])) {\n $data[$st] = array(\n \"min_low\" => 100,\n \"avglow32day\" => null,\n \"avglow28day\" => null,\n \"station\" => $st);\n $data[$st][\"low\"] = $row[\"min_low\"];\n $data[$st][\"lowyr\"] = $row[\"min_low_yr\"] . \"-\" . substr($row[\"valid\"], 5, 6);\n }\n if (!isset($data[$st][\"low28\"])) {\n if (intval($row[\"min_low\"]) < 29) {\n $data[$st][\"low28\"] = $row[\"min_low\"];\n $data[$st][\"low28yr\"] = $row[\"min_low_yr\"] . \"-\" . substr($row[\"valid\"], 5, 6);\n }\n }\n}\n\nwhile ($row = pg_fetch_assoc($rs2)) {\n $st = $row[\"station\"];\n if (!isset($data[$st][\"avelow40day\"])) {\n if (intval($row[\"low\"]) < 41) {\n $data[$st][\"avelow40day\"] = substr($row[\"valid\"], 5, 6);\n }\n }\n if (!isset($data[$st][\"avelow32day\"])) {\n if (intval($row[\"low\"]) < 33) {\n $data[$st][\"avelow32day\"] = substr($row[\"valid\"], 5, 6);\n }\n }\n if (!isset($data[$st][\"avelow28day\"])) {\n if (intval($row[\"low\"]) < 28) {\n $data[$st][\"avelow28day\"] = substr($row[\"valid\"], 5, 6);\n }\n }\n}\n\n$finalA = array();\n$finalA = aSortBySecondIndex($data, $sortcol);\n\n$table = \"\";\nforeach ($finalA as $key => $value) {\n if (!array_key_exists($key, $cities)) continue;\n $table .= \"\" . $cities[strtoupper($key)][\"name\"] . \"\n \" . $data[$key][\"low\"] . \"\n \" . $data[$key][\"lowyr\"] . \"\n \" . $data[$key][\"low28\"] . \"\n \" . $data[$key][\"low28yr\"] . \"\n \" . $data[$key][\"avelow40day\"] . \"\n \" . $data[$key][\"avelow32day\"] . \"\n \" . $data[$key][\"avelow28day\"] . \"\n \\n\";\n}\n\n\n$t->content = <<Freezing Dates\n\n

Using the NWS COOP data archive, significant dates relating to fall are\nextracted and presented on this page. The specific dates are the first\noccurance of that temperature and may have occured again in subsequent\nyears.\n\n
The \"Record Lows\" columns show the first fall occurance of a low\ntemperature. The \"Average Lows\" column shows when certain climatological\nthresholds are surpassed in the fall.\n

\n\n
\n
\n
\n Select Network: {$nselect}\n \n
\n
\n
\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n {$table}\n\n
COOP Site:Record Lows:Average Lows:
Temp <= 32°FTemp <= 28°FBelow 40°FBelow 32°FBelow 28°F
Temp:Date:Temp:Date:
\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/COOP/hpd.php", "content": "Please select a station and date.

\";\nif ($station) {\n $dbconn = iemdb('other');\n $stname = iem_pg_prepare(\n $dbconn,\n \"select * from hpd_alldata WHERE station = $1 and valid >= $2 \" .\n \"and valid < $3 ORDER by valid ASC\"\n );\n $valid = mktime(0, 0, 0, $month, $day, $year);\n $sts = date(\"Y-m-d 00:00\", $valid);\n $ets = date(\"Y-m-d 23:59\", $valid);\n $rs = pg_execute($dbconn, $stname, array($station, $sts, $ets));\n $table = '';\n while ($row = pg_fetch_assoc($rs)) {\n $table .= sprintf(\n \"\",\n $row[\"valid\"],\n $row[\"precip\"]\n );\n }\n $table .= \"
ValidPrecip
%s%s
\";\n}\n\n$t = new MyView();\n$t->title = \"COOP HPD FisherPorter Precip\";\n\n$sselect = networkSelect(\"IA_HPD\", $station);\n$t->content = <<\n
    \n
  1. COOP Data
    2. \n
  2. Fisher Porter Rain Gauge Data
    3. \n
\n\n\n

The IEM maintains an archive of processed rain gauge data from the \"Fisher Porter\"\nequipment that is run at some NWS COOP locations in Iowa. There is considerable\ndelay to the availability of this data from\nNCEI. Currently, a process\nruns on the 15th each month and downloads data for the previous 3rd, 6th, and 12th month\nto the current date.

\n\n

Updated 3 Feb 2023: As it stands currently, I can not find\nthis datasource available from NCEI. So there's no data in this archive since\n~Feb 2021.

\n\n
\n
\n
\n \n {$sselect}\n
\n
\n \n
{$yselect} {$mselect} {$dselect}
\n
\n
\n \n
\n
\n
\n\n
\n{$table}\n
\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/COOP/index.css", "content": "div.tease {\n margin: 5px;\n padding: 5px;\n width: 400px;\n background: #e8cc84;\n float: left;\n}\ndiv.tease img {\n margin-right: 5px;\n float: left;\n}\ndiv.tease a {\n font-weight: bold;\n padding: 5px;\n}" }, { "path": "htdocs/COOP/index.phtml", "content": "title = \"NWS COOP Data\";\n$t->headextra = <<\nEOM;\n\n$yr = date(\"Y\");\n\n$dict = array(\n array(\n \"img\" => \"chart_line_f_t.png\",\n \"url\" => \"/plotting/coop/threshold_histogram_fe.phtml\",\n \"title\" => \"Winter Min Low Temp Frequencies\",\n \"desc\" => \"Histogram showing the number of years that a certain low temperature threshold is exceeded.\"\n ),\n\n array(\n \"img\" => \"chart_line_h_t.png\",\n \"url\" => \"/plotting/coop/spread_fe.phtml\",\n \"title\" => \"Daily Temperature Spread\",\n \"desc\" => \"Histogram showing daily high/low temperatures.\"\n ),\n\n array(\n \"img\" => \"data_table.png\",\n \"url\" => \"/COOP/periods.phtml\",\n \"title\" => \"Yearly Average Temperatures\",\n \"desc\" => \"For a date interval of your choice, get the yearly statewide average temperatures.\"\n ),\n\n array(\n \"img\" => \"data_table.png\",\n \"url\" => \"/sites/hist.phtml?station=AMSI4&network=IA_COOP\",\n \"title\" => \"Observations by Month\",\n \"desc\" => \"View observations per station and per month basis.\"\n ),\n\n array(\n \"img\" => \"data_table.png\",\n \"url\" => \"/COOP/freezing.php\",\n \"title\" => \"Fall Freezing Dates\",\n \"desc\" => \"Statistics of dates for significant first fall freezes.\"\n ),\n\n array(\n \"img\" => \"data_table.png\",\n \"url\" => \"/COOP/snowd_duration.phtml\",\n \"title\" => \"Snow Depth Duration\",\n \"desc\" => \"For a given date, how long will the snow stick around?\"\n ),\n\n array(\n \"img\" => \"data_table.png\",\n \"url\" => \"/COOP/extremes.php\",\n \"title\" => \"Daily Climate in Tables\",\n \"desc\" => \"Tables of daily temperature and precipitation climatology.\"\n ),\n\n array(\n \"img\" => \"thumb_map.png\",\n \"url\" => \"/GIS/apps/coop/index.php\",\n \"title\" => \"Daily Climate in Maps\",\n \"desc\" => \"Plots of daily extremes and averages with a GIS Ready! download of the data presented.\"\n ),\n\n array(\n \"img\" => \"chart_line_t_d.png\",\n \"url\" => \"/plotting/coop/climate_fe.php\",\n \"title\" => \"Daily Average Temperatures\",\n \"desc\" => \"Dynamically produced chart of average daily temperatures.\"\n ),\n\n array(\n \"img\" => \"chart_line_t_y.png\",\n \"url\" => \"/plotting/auto/?q=100\",\n \"title\" => \"Yearly Average Temperatures\",\n \"desc\" => \"Plot average daily temperatures for a year of your choice.\"\n ),\n\n array(\n \"img\" => \"chart_line_d_a.png\",\n \"url\" => \"/plotting/auto/?q=107\",\n \"title\" => \"Accumulated Precipitation Probabilities\",\n \"desc\" => \"Chart of precip probabilities for a time period of your choice.\"\n ),\n\n array(\n \"img\" => \"chart_line_t_d.png\",\n \"url\" => \"/plotting/auto/?q=99\",\n \"title\" => \"Yearly Departures from Average\",\n \"desc\" => \"Plot average temperatures versus what actually occured during one year.\"\n ),\n\n array(\n \"img\" => \"chart_line_ac_d.png\",\n \"url\" => \"/plotting/auto/?q=108\",\n \"title\" => \"Accumulated Departures from Average\",\n \"desc\" => \"Plot an accumulated departure from average for rainfall and growing degree days for a time period of your choice!\"\n ),\n\n array(\n \"img\" => \"thumb_map.png\",\n \"url\" => \"/COOP/map/\",\n \"title\" => \"Map Daily Observations\",\n \"desc\" => \"Interactive map of daily observations.\"\n ),\n\n);\n$content = \"\";\nforeach ($dict as $k => $v) {\n // Card-like teaser; image is decorative (title + text already conveys info)\n $content .= <<\n
\n
\n
\n
\n \n \"\"\n \n
\n
\n

{$v[\"title\"]}

\n

{$v[\"desc\"]}

\n
\n
\n
\n
\n\nEOM;\n}\n\n$t->content = <<\n

National Weather Service Cooperative Observer Program (COOP)

\n

The COOP network is comprised of volunteer observers reporting once-daily high and low air temperature, liquid precipitation, snowfall and snow depth. Explore popular applications below.

\n \n\n\n
\n

IEM Value-Added Climodat Dataset

\n

The IEM processes preliminary COOP reports, applies limited quality control, and estimates some missing data to produce the coherent Climodat dataset. Popular Climodat applications:

\n \n
\n\n\n
\n\n
\n

Data Applications

\n
\n {$content}\n
\n
\n
\nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/COOP/map/index.css", "content": "/* Climap Application Styles */\n\n.map {\n height: 70vh;\n width: 100%;\n border: 1px solid #dee2e6;\n border-radius: 0.375rem;\n position: relative;\n}\n\n.popover {\n width: 320px;\n max-width: 90vw;\n}\n\n.popover-body {\n font-size: 0.875rem;\n line-height: 1.5;\n}\n\n/* Font size controls styling */\n.btn-group .btn.disabled {\n pointer-events: none;\n background-color: #e9ecef;\n border-color: #dee2e6;\n}\n\n/* Loading states */\n.loading {\n opacity: 0.6;\n pointer-events: none;\n}\n\n.loading-spinner {\n position: absolute;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n z-index: 1000;\n}\n\n/* Responsive adjustments */\n@media (max-width: 768px) {\n .map {\n height: 50vh;\n }\n \n .popover {\n width: 280px;\n }\n \n .btn-group .btn {\n padding: 0.25rem 0.5rem;\n font-size: 0.875rem;\n }\n}" }, { "path": "htdocs/COOP/map/index.js", "content": "/* global ol */\nlet renderattr = 'high';\nlet vectorLayer = null;\nlet map = null;\nlet popup = null;\nlet fontSize = 14;\n\n/**\n * Replace HTML special characters with their entity equivalents\n */\nfunction escapeHTML(val) {\n return val\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\n/**\n * Get current date string from date picker (YYYY-MM-DD format)\n * Avoids timezone issues by working directly with the string value\n */\nfunction getCurrentDateString() {\n const datePicker = document.getElementById('datepicker');\n return escapeHTML(datePicker.value); // Already in YYYY-MM-DD format\n}\n\n/**\n * Update URL parameters with current state\n */\nfunction updateURL() {\n const dateStr = getCurrentDateString();\n const url = new URL(window.location);\n url.searchParams.set('date', dateStr);\n url.searchParams.set('var', renderattr);\n\n // Add map position\n if (map) {\n const view = map.getView();\n const center = ol.proj.toLonLat(view.getCenter());\n url.searchParams.set('lon', center[0].toFixed(4));\n url.searchParams.set('lat', center[1].toFixed(4));\n url.searchParams.set('zoom', view.getZoom().toFixed(0));\n }\n\n window.history.pushState({}, '', url);\n}\n\n/**\n * Update map with new render attribute\n */\nfunction updateMap() {\n const selectElement = document.getElementById('renderattr');\n renderattr = escapeHTML(selectElement.value);\n vectorLayer.setStyle(vectorLayer.getStyle());\n updateURL();\n}\n\n/**\n * Update map with new date\n */\nfunction updateDate() {\n const dateStr = getCurrentDateString();\n\n // Show loading state\n const mapElement = document.getElementById('map');\n mapElement.classList.add('loading');\n\n map.removeLayer(vectorLayer);\n vectorLayer = makeVectorLayer(dateStr);\n map.addLayer(vectorLayer);\n\n // Remove loading state after a brief delay\n setTimeout(() => {\n mapElement.classList.remove('loading');\n }, 500);\n\n updateURL();\n}\n\n/**\n * Style function for vector features\n */\nconst vectorStyleFunction = feature => {\n const value = feature.get(renderattr);\n const outlinecolor = '#000000';\n if (value !== null && !isNaN(value)) {\n return [\n new ol.style.Style({\n fill: new ol.style.Fill({\n color: 'rgba(255, 255, 255, 0.6)',\n }),\n text: new ol.style.Text({\n font: `${fontSize}px Calibri,sans-serif`,\n text: value.toString(),\n fill: new ol.style.Fill({\n color: '#FFFFFF',\n width: 1,\n }),\n stroke: new ol.style.Stroke({\n color: outlinecolor,\n width: 3,\n }),\n }),\n }),\n ];\n }\n return [\n new ol.style.Style({\n image: new ol.style.Circle({\n fill: new ol.style.Fill({\n color: 'rgba(255,255,255,0.4)',\n }),\n stroke: new ol.style.Stroke({\n color: '#3399CC',\n width: 1.25,\n }),\n radius: 5,\n }),\n fill: new ol.style.Fill({\n color: 'rgba(255,255,255,0.4)',\n }),\n stroke: new ol.style.Stroke({\n color: '#3399CC',\n width: 1.25,\n }),\n }),\n ];\n};\n\n/**\n * Create vector layer for given date\n */\nfunction makeVectorLayer(dt) {\n return new ol.layer.Vector({\n source: new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/geojson/coopobs.py?valid=${dt}`,\n }),\n style: vectorStyleFunction,\n });\n}\n\n/**\n * Extract feature data with defaults\n */\nfunction getFeatureData(feature) {\n const get = (key, defaultValue = 'N/A') => feature.get(key) ?? defaultValue;\n\n return {\n station: feature.get('station'),\n network: feature.get('network'),\n name: get('name'),\n utcValid: get('utc_valid'),\n coopTmpf: get('coop_tmpf'),\n hour: get('hour'),\n high: get('high', 'M'),\n low: get('low', 'M'),\n precip: get('precip', 'M'),\n snow: get('snow', 'M'),\n snowd: get('snowd', 'M'),\n report: get('report')\n };\n}\n\n/**\n * Create and show popover with feature information\n */\nfunction showPopover(feature, coordinate) {\n const data = getFeatureData(feature);\n\n const content = `\n
\nNWSLI: ${data.station}\nName: ${data.name}\nReported At: ${data.utcValid}\nReport Local Hour: ${data.hour}\nAir Temp: ${data.coopTmpf} High: ${data.high} Low: ${data.low}\nPrecip: ${data.precip}\nSnow: ${data.snow} Snow Depth: ${data.snowd}\nSHEF Report: ${data.report}\n
\n `;\n\n // Use the OpenLayers popup element directly\n const popupElement = document.getElementById('popup');\n popupElement.innerHTML = `\n
\n
\n
${content}
\n
\n `;\n\n // Position the popup using OpenLayers\n popup.setPosition(coordinate);\n}\n\n/**\n * Hide popover\n */\nfunction hidePopover() {\n const popupElement = document.getElementById('popup');\n popupElement.innerHTML = '';\n popup.setPosition(null);\n}\n\n/**\n * Fetch and display CLI report\n */\nasync function fetchCLIReport(url) {\n const reportDiv = document.getElementById('clireport');\n reportDiv.innerHTML =\n '
Loading CLI report...
';\n\n try {\n const response = await fetch(url);\n if (!response.ok) {throw new Error('Network response was not ok');}\n const data = await response.text();\n reportDiv.innerHTML = `
${data}
`;\n } catch (error) {\n reportDiv.innerHTML = `
Failed to fetch CLI report. ${error} Please try again.
`;\n }\n}\n\n/**\n * Set date picker to specific date string (YYYY-MM-DD format)\n * Avoids timezone issues by working directly with string values\n */\nfunction setDatePickerValue(dateStr) {\n const datePicker = document.getElementById('datepicker');\n datePicker.value = dateStr;\n}\n\n/**\n * Parse URL parameters and update interface\n * Handles migration from legacy hash-based URLs to modern URL parameters\n * Legacy format: #YYMMDD/variable -> Modern format: ?date=YYYY-MM-DD&var=variable\n */\nfunction parseURLParameters() {\n const urlParams = new URLSearchParams(window.location.search);\n\n // Check for legacy hash parameters first and migrate them\n const tokens = window.location.href.split('#');\n if (tokens.length === 2) {\n const hashTokens = tokens[1].split('/');\n if (hashTokens.length === 2) {\n const tpart = escapeHTML(hashTokens[0]);\n const hashRenderattr = escapeHTML(hashTokens[1]);\n\n // Parse date from hash (YYMMDD format) and convert to YYYY-MM-DD\n if (tpart.length === 6) {\n const year = 2000 + parseInt(tpart.substring(0, 2));\n const month = String(parseInt(tpart.substring(2, 4))).padStart(2, '0');\n const day = String(parseInt(tpart.substring(4, 6))).padStart(2, '0');\n const dateStr = `${year}-${month}-${day}`;\n\n // Redirect to new URL format\n const newUrl = new URL(window.location);\n newUrl.hash = '';\n newUrl.searchParams.set('date', dateStr);\n newUrl.searchParams.set('var', hashRenderattr);\n window.location.replace(newUrl.toString());\n return;\n }\n }\n }\n\n // Handle modern URL parameters\n const dateParam = urlParams.get('date');\n const varParam = urlParams.get('var');\n\n if (varParam) {\n renderattr = escapeHTML(varParam);\n const selectElement = document.getElementById('renderattr');\n selectElement.value = renderattr;\n }\n\n if (dateParam) {\n // Validate date format (YYYY-MM-DD) and set directly to avoid timezone issues\n if (/^\\d{4}-\\d{2}-\\d{2}$/.test(dateParam)) {\n setDatePickerValue(dateParam);\n updateDate();\n }\n }\n}\n\n/**\n * Initialize the application\n */\ndocument.addEventListener('DOMContentLoaded', () => {\n // Initialize renderattr from the form's selected value\n const selectElement = document.getElementById('renderattr');\n renderattr = selectElement.value;\n\n // Set up date picker (PHP already sets the initial value)\n const datePicker = document.getElementById('datepicker');\n\n // Set up date picker change handler\n datePicker.addEventListener('change', () => {\n updateDate();\n });\n\n // Initialize vector layer with current date picker value\n const currentDateStr = getCurrentDateString();\n vectorLayer = makeVectorLayer(currentDateStr);\n\n // Get map position from URL or use defaults\n const urlParams = new URLSearchParams(window.location.search);\n const lon = parseFloat(urlParams.get('lon')) || -95.0;\n const lat = parseFloat(urlParams.get('lat')) || 42.0;\n const zoom = parseInt(urlParams.get('zoom')) || 3;\n const center = ol.proj.fromLonLat([lon, lat]);\n\n // Set up map\n map = new ol.Map({\n target: 'map',\n layers: [\n new ol.layer.Tile({\n title: 'Global Imagery',\n source: new ol.source.XYZ({\n attributions:\n 'Tiles © ArcGIS',\n url:\n 'https://server.arcgisonline.com/ArcGIS/rest/services/' +\n 'World_Imagery/MapServer/tile/{z}/{y}/{x}',\n }),\n }),\n new ol.layer.Tile({\n title: 'State Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/usstates/{z}/{x}/{y}.png',\n }),\n }),\n vectorLayer,\n ],\n view: new ol.View({\n projection: 'EPSG:3857',\n center,\n zoom,\n }),\n });\n\n map.addControl(new ol.control.LayerSwitcher());\n\n // Update URL when map is moved or zoomed\n map.on('moveend', () => {\n updateURL();\n });\n\n // Set up popup overlay\n const element = document.getElementById('popup');\n popup = new ol.Overlay({\n element,\n positioning: 'bottom-center',\n stopEvent: true, // Allow clicks on links inside the popup\n });\n map.addOverlay(popup);\n\n // Handle map clicks\n map.on('click', evt => {\n const feature = map.forEachFeatureAtPixel(evt.pixel, feature2 => {\n return feature2;\n });\n\n if (feature) {\n const geometry = feature.getGeometry();\n const coord = geometry.getCoordinates();\n showPopover(feature, coord);\n\n // Fetch CLI report\n const link = feature.get('link');\n if (link) {\n fetchCLIReport(link);\n }\n } else {\n hidePopover();\n }\n });\n\n // Parse URL parameters if present\n parseURLParameters();\n\n // Font size buttons\n document.getElementById('fplus').addEventListener('click', () => {\n fontSize += 2;\n vectorLayer.setStyle(vectorStyleFunction);\n });\n\n document.getElementById('fminus').addEventListener('click', () => {\n fontSize -= 2;\n vectorLayer.setStyle(vectorStyleFunction);\n });\n\n // Render attribute change handler\n document.getElementById('renderattr').addEventListener('change', () => {\n updateMap();\n });\n});\n" }, { "path": "htdocs/COOP/map/index.php", "content": " \"High Temperature (°F)\",\n \"low\" => \"Low Temperature (°F)\",\n \"coop_tmpf\" => \"Observation Temperature (°F)\",\n \"precip\" => \"Precipitation (inch)\",\n \"snow\" => \"Snowfall (inch)\",\n \"snowd\" => \"Snow Depth (inch)\",\n];\n\n// Validate variable parameter\n$valid_var = array_key_exists($var_param, $render_vars) ? $var_param : \"high\";\n\n// Generate select element using helper function\n$render_select = make_select(\"renderattr\", $valid_var, $render_vars, \"\", \"form-select\", FALSE, FALSE, TRUE, [\"id\" => \"renderattr\"]);\n\n$t = new MyView();\n$t->title = \"Map of Daily NWS COOP Reports\";\n$OL = '10.7.0';\n$t->headextra = <<\n\n\nEOM;\n$t->jsextra = <<\n\n\nEOM;\n\n$t->content = <<\n \n

This is the popover content

\n\n\n\n\n
\n
\n
\n

Map of NWS Daily COOP Reports

\n
\n \n \n \n \n \n
\n
\n\n
\n
\n
\n \n {$render_select}\n
\n
\n \n \n
\n
\n
\n
\n\n
\n
\n
\n
\n
\n
\n
\n\nEOM;\n\n$t->render('full.phtml');\n" }, { "path": "htdocs/COOP/periods.phtml", "content": "title = \"Time period comparisons\";\n\n$table = \"\";\nif ($sday > 0) {\n $sts = mktime(0, 0, 0, $smonth, $sday, 2000);\n $ets = mktime(0, 0, 0, $emonth, $eday, 2000);\n\n $coop = iemdb(\"coop\");\n $sname = $nt->table[$station]['name'];\n $link = \"periods.phtml?station={$station}&network={$network}&sday=$sday&eday=$eday&smonth=$smonth&emonth=$emonth&sortcol=\";\n $nicedate = sprintf(\"%s - %s\", date(\"d M\", $sts), date(\"d M\", $ets));\n $table .= <<Yearly average temperatures for {$sname} [$station] between ({$nicedate}) \n dates inclusive
\n \n \n \n \n \n \n \n \n \nEOM;\n $mytable = sprintf(\"alldata_%s\", substr($station, 0, 2));\n $stname = iem_pg_prepare($coop, \"select year,\n sum(precip) as sum_precip, sum(snow) as sum_snow,\n avg(high) as avg_high, avg(low) as avg_low,\n avg((high+low)/2.0) as avg_temp from {$mytable}\n WHERE station = $1 and sday >= $2 and sday <= $3\n GROUP by year ORDER by {$sortcol} DESC\");\n\n $rs = pg_execute($coop, $stname, array(\n $station, date(\"md\", $sts),\n date(\"md\", $ets)\n ));\n while ($row = pg_fetch_assoc($rs)) {\n $table .= sprintf(\n \"\",\n $row[\"year\"],\n $row[\"avg_temp\"],\n $row[\"avg_high\"],\n $row[\"avg_low\"],\n $row[\"sum_precip\"],\n $row[\"sum_snow\"]\n );\n }\n $table .= \"
Year:Avg Temp (F):Avg High Temp (F):Avg Low Temp (F):Precip Total (inch):Snow Total (inch):
%s%.2f%.2f%.2f%.2f%.1f
\";\n}\n\n$smonthselect = monthSelect($smonth, \"smonth\");\n$sdayselect = daySelect($sday, \"sday\");\n$emonthselect = monthSelect($emonth, \"emonth\");\n$edayselect = daySelect($eday, \"eday\");\n$nselect = networkSelect($network, $station);\n$sselect = selectNetworkType(\"CLIMATE\", $network);\n$t->content = <<\n
  • NWS COOP
    • \n
  • Yearly time period averages
    • \n\n\n

    COOP Yearly Summary Between Two Dates

    \n\n

    This application summarizes data for a date period of your choice, by year\nand by station. Not all stations reported snowfall each year, so please be\ncareful with that data.

    \n\n
    \n

    Data is available from the following states:\n{$sselect}\n\n

    \n\n

    \n\n\n\n\n\n\n\n
    Select Station:{$nselect}
    Start Date:{$smonthselect} {$sdayselect}
    End Date:{$emonthselect} {$edayselect}
    \n
    \n\n{$table}\n\n

    Theoretically, you should be able to highlight the entire table with \nyour cursor and then copy-paste it into a spreadsheet program if you \nlike.\n\n

    Errors exist in this dataset and you should evaluate the observations\nbefore using...\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/COOP/snowd_duration.phtml", "content": " 0 ORDER\n by year ASC\");\n$stname2 = iem_pg_prepare($coopdb, \"SELECT min(day) as m from alldata_ia\n WHERE day > $1 and station = $2 and snowd = 0\");\n\n$table = <<\nStart DayDepth [inch]End Date\n Duration [days]\nEOM;\n\n/* Find all snow days for this date! */\n$rs = pg_execute($coopdb, $stname1, array(strtoupper($station), $sday));\n$data = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $rs2 = pg_execute($coopdb, $stname2, array($row[\"day\"], $station));\n $row2 = pg_fetch_assoc($rs2, 0);\n $sts = strtotime($row[\"day\"]);\n $endts = strtotime($row2[\"m\"]);\n $days = ($endts - $sts) / 86400;\n $data[] = $days;\n $table .= sprintf(\n \"%s%s%s%.0f\",\n date('Y M d', $sts),\n $row[\"snowd\"],\n date('Y M d', $endts),\n $days\n );\n}\nif (pg_num_rows($rs) > 0) {\n $table .= sprintf(\"Average%.0f\", (array_sum($data) / pg_num_rows($rs)));\n}\n$table .= \"\";\n\n$t->title = \"COOP Snow Depth Duration\";\n$nselect = networkSelect(\"IACLIMATE\", $station);\n$mselect = monthSelect($month);\n$dselect = daySelect($day);\n$t->content = <<\n

  • NWS COOP Network
    • \n
  • Snow Depth Duration
    • \n\n\n

    Snow Depth Duration

    \n\n

    This application creates a table of duration of snow cover for a given \nday. The default example answers the question, \"When there is snow on the\nground for Christmas in Ames, how long does it stick around for?\"

    \n\n

    The dataset used for this application is based on NWS COOP observations, but\n also contains estimates when data is missing.

    \n\n
    \n\n\n\n \n \n \n \n\n
    Select StationMonthDay
    {$nselect}{$mselect}{$dselect}
    \n
    \n\n{$table}\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/DCP/cat.phtml", "content": "table;\n\n$t->title = \"GOES/DCP/HADS Display Observations\";\n\n$dstr = date(\"d M Y h:i a\", $ts);\n\n$nselect = \"\";\n$ys = yearSelect(2002, $year, \"year\");\n$ms = monthSelect($month);\n$ds = daySelect($day);\n$hs = hourSelect($hour, 'hour');\n\n$ar = array(\"00\" => \"00\", \"15\" => \"15\", \"30\" => \"30\", \"45\" => \"45\");\n$mis = make_select(\"minute\", $minute, $ar);\n\n$tbl = sprintf(\"raw%s\", date(\"Y_m\", $ts));\n$dstr = date(\"Y-m-d H:i\", $ts);\n$ldate = date(\"d M Y h:i A\", $ts);\n\n$stname = iem_pg_prepare($pgconn, \"SELECT t.* from $tbl t, stations s WHERE \" .\n \"valid = $1 and s.id = t.station and s.network = $2\");\n\n$rs = pg_execute($pgconn, $stname, array($dstr, $network));\n\n/* Load up the data into a big fat array */\n$data = array();\n$datakeys = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $station = $row[\"station\"];\n if (!array_key_exists($station, $cities)) {\n continue;\n }\n $data[$row[\"station\"]][substr($row[\"key\"], 0, 3)] = $row[\"value\"];\n $datakeys[substr($row[\"key\"], 0, 3)] = 1;\n}\n$stations = array_keys($data);\n$keys = array_keys($datakeys);\nasort($stations);\nasort($keys);\n\n$table = \"\";\n$header = \"\n \";\nforeach ($keys as $k => $v) {\n $header .= sprintf(\"\", $v);\n}\n$header .= \"\";\n\n$row = 0;\nforeach ($stations as $k => $v) {\n if ($row % 25 == 0) {\n $table .= $header;\n }\n $row += 1;\n\n $table .= sprintf(\"\", $v, date(\"Y\", $ts), date(\"m\", $ts), date(\"d\", $ts), $v, $cities[$v]['name']);\n reset($keys);\n foreach ($keys as $k => $key) {\n $table .= sprintf(\"\", $data[$v][$key] ?? '');\n }\n $table .= \"\";\n}\n$table .= \"
    NWS IDStation%s
    %s%s%s
    \";\n\n$t->content = <<\n
  • DCP/HADS Mainpage
    • \n
  • View All Reports at One Time
    • \n \n\n

    DCP Data Report for time: {$dstr}

    \n\n

    This application will display a table of observations valid at a given\ntime. The SHEF encoded variable identifier is used to show which sites\nreported which variables. All times displayed are in central \nstandard/daylight time. If you click on the site identifier, you will\nget a listing of all observations for that site for the date of your \nchoice.\n\n

    \n\n\n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n\n\n{$table}\n\n\nLegend: TAI = Air Temp (F), PCI = Rainfall Counter, PPH = Hourly Precip,\nUDI = Wind Direction, USI = Wind Speed\n\n
    StateYearMonthDayHourMinute
    \n Select State: {$nselect}\n{$ys}{$ms}{$ds}{$hs}{$mis}
    \nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/DCP/current.phtml", "content": "title = \"DCP/GOES Current Conditions\";\n$t->refresh = 600;\n\n$t->breadcrumbs = <<\n
  • DCP Network
    • \n
  • Sortable Currents
    • \n\nEOM;\n$cols = array(\n \"valid\" => \"Timestamp\",\n 'station' => \"Station ID\",\n 'name' => 'Station Name',\n 'HGIZ' => 'Water Stage Height',\n 'TAIZ' => 'Air Temperature',\n 'PPHZ' => '1 Hour Precip',\n 'PPDZ' => 'Today Precip',\n 'VBIZ' => 'Battery Voltage',\n 'TWIZ' => 'Water Temperature',\n);\nif (!array_key_exists($sortcol, $cols)) {\n xssafe(\"\");\n}\n\n$stname = iem_pg_prepare(\n $pgconn,\n \"select c.*, s.name, \" .\n \"c.valid at time zone s.tzname as localvalid \" .\n \"from current_shef c JOIN stations s \" .\n \"on (c.station = s.id) where s.network = $1 and c.value > -1000 \".\n \"order by valid desc\"\n);\n$rs = pg_execute($pgconn, $stname, array($network));\n\n$obs = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $datakey = sprintf(\n \"%s%s%s\",\n $row[\"physical_code\"],\n $row[\"duration\"],\n $row[\"extremum\"]\n );\n $lvalid = strtotime($row[\"localvalid\"]);\n if (!array_key_exists($row['station'], $obs)) {\n $obs[$row['station']] = array(\"valid\" => $lvalid);\n }\n if ($lvalid != $obs[$row['station']]['valid']) {\n continue;\n }\n $obs[$row['station']][$datakey] = $row[\"value\"];\n $obs[$row['station']]['name'] = $row[\"name\"];\n}\n$final = aSortBySecondIndex($obs, $sortcol, \"desc\");\n\n$nselect = selectNetworkType(\"DCP\", $network);\n\n$ar = array(\"no\" => \"No\", \"yes\" => \"Yes\");\n$sselect = make_select(\"shef\", $shef, $ar);\n\n$t->current_network = \"DCP\";\n$baseurl2 = \"current.phtml?network=$network&sortcol=\";\n\n$content = <<\n\nSelect Network: {$nselect}\n\nShow SHEF Codes: {$sselect}\n\n\n\n\n

    Sorted by: {$cols[$sortcol]}\n\n\n\n \n \n \n \n \n \n \n \n \n \n\nEOM;\n$now = time();\nforeach ($final as $site => $value) {\n $url = sprintf(\"/sites/site.php?station=%s&network=%s\", $site, $network);\n $content .= \"\n \";\n $content .= \"\";\n\n if (array_key_exists('HGIZ', $value)) {\n $content .= sprintf(\"\", $value[\"HGIZ\"]);\n } else {\n $content .= \"\";\n }\n\n if (array_key_exists('TAIZ', $value)) {\n $content .= sprintf(\"\", $value[\"TAIZ\"]);\n } else {\n $content .= \"\";\n }\n\n if (array_key_exists('TWIZ', $value)) {\n $content .= sprintf(\"\", $value[\"TWIZ\"]);\n } else {\n $content .= \"\";\n }\n\n if (array_key_exists('PPHZ', $value)) {\n $content .= sprintf(\"\", $value[\"PPHZ\"]);\n } else {\n $content .= \"\";\n }\n\n if (array_key_exists('PPDZ', $value)) {\n $content .= sprintf(\"\", $value[\"PPDZ\"]);\n } else {\n $content .= \"\";\n }\n\n if (array_key_exists('VBIZ', $value)) {\n $content .= sprintf(\"\", $value[\"VBIZ\"]);\n } else {\n $content .= \"\";\n }\n\n\n $content .= \"\";\n if ($shef) {\n $content .= \"\";\n }\n}\n$content .= <<\n\n
    SiteID:Station Name:Valid:Stage [ft]Temp [F]Water Temp [F]1h Rain [in]Today Rain [in]Battery [V]
    $site\" . $value[\"name\"] . \" (6 * 3600)) {\n $dtfmt = \"d M Y h:i A\";\n $content .= 'bgcolor=\"red\"';\n }\n $content .= \">\" . date($dtfmt, $value[\"valid\"]) . \"%s%s%s%s%s%s
    \";\n foreach ($value as $k => $v) {\n if ($k == 'name' || $k == 'valid') continue;\n $content .= sprintf(\"/%s %s \", $k, $v);\n }\n $content .= \"
     
    \nEOM;\n$t->content = $content;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/DCP/index.phtml", "content": "title = \"GOES/HADS/DCP\";\n\n$t->content = <<GOES DCP\n\n

    The Geostationary Operational Environmental Satellites\n(GOES) Data Collection Platforms (DCPs) are a set of hydrologic and meteorologic\ndata collection points. The DCPs are a collection of networks owned and operated\nby a host of entities. [1] The IEM receives this dataset from our\nUnidata\nfeed, which contains the products produced by the Office of Dissemination\nof the National Weather Service.

    \n\n

    The NWS has a fantastic\nwebsite if you are curious\nabout this dataset.

    \n\n

    The IEM attempts to process all available data in this feed. The applications\n below are divided up by states, so switch the state shown to find data outside of\n Iowa.

    \n\n

    Available Tools:

    \n\n

    \n\n\nReferences:
    \n1 https://hads.ncep.noaa.gov/dcp_operators.shtml\n, viewed 12 Jul 2017\n
    https://water.usgs.gov/pubs/circ/circ1123/\n , viewed: 21 May 2025\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/DCP/map.css", "content": ".map {\n height: 400px;\n width: 100%;\n background-color: #D2B48C;\n}\n.popover {\n width: 300px;\n}\n\n/* Custom popup styles */\n.simple-popup {\n position: absolute;\n background: white;\n border: 1px solid #ccc;\n border-radius: 4px;\n padding: 10px;\n max-width: 250px;\n box-shadow: 0 2px 10px rgba(0,0,0,0.3);\n z-index: 1000;\n font-size: 12px;\n font-family: Arial, sans-serif;\n}\n\n.popup-close-button {\n float: right;\n cursor: pointer;\n font-weight: bold;\n color: #999;\n margin-left: 10px;\n font-size: 16px;\n line-height: 1;\n}\n\n.popup-close-button:hover {\n color: #333;\n}" }, { "path": "htdocs/DCP/map.js", "content": "/* global ol */\nlet physical_code = 'EP';\nlet duration = 'D';\nlet days = 2;\nlet vectorLayer = null;\nlet map = null;\nlet fontSize = 14;\n\n/**\n * Replace HTML special characters with their entity equivalents\n */\nfunction escapeHTML(val) {\n return val\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\n/**\n * Update the URL with current parameters using URLSearchParams\n */\nfunction updateURL() {\n const url = new URL(window.location);\n url.searchParams.set('pe', physical_code);\n url.searchParams.set('duration', duration);\n url.searchParams.set('days', days);\n // Clear any legacy hash\n url.hash = '';\n window.history.replaceState({}, '', url);\n}\n\n/**\n * Update the map with current form values\n */\nfunction updateMap() {\n const peSelect = document.getElementById('pe');\n const durationSelect = document.getElementById('duration');\n const daysInput = document.getElementById('days');\n\n // Validate that all required fields have values\n if (!peSelect.value || !durationSelect.value || !daysInput.value.trim()) {\n return; // Don't update if any field is empty\n }\n\n // Validate that days is a positive number\n const daysValue = parseInt(daysInput.value.trim(), 10);\n if (isNaN(daysValue) || daysValue <= 0) {\n return; // Don't update if days is not a valid positive number\n }\n\n physical_code = escapeHTML(peSelect.value);\n duration = escapeHTML(durationSelect.value);\n days = daysValue; // Use the validated number\n\n map.removeLayer(vectorLayer);\n vectorLayer = makeVectorLayer();\n map.addLayer(vectorLayer);\n updateURL();\n}\n\nconst vectorStyleFunction = feature => {\n if (feature.get('value') !== 'M') {\n return [\n new ol.style.Style({\n fill: new ol.style.Fill({\n color: 'rgba(255, 255, 255, 0.6)',\n }),\n text: new ol.style.Text({\n font: `${fontSize}px Calibri,sans-serif`,\n text: feature.get('value').toString(),\n fill: new ol.style.Fill({\n color: '#FFFFFF',\n width: 1,\n }),\n stroke: new ol.style.Stroke({\n color: '#000000',\n width: 3,\n }),\n }),\n }),\n ];\n }\n return [\n new ol.style.Style({\n image: new ol.style.Circle({\n fill: new ol.style.Fill({\n color: 'rgba(255,255,255,0.4)',\n }),\n stroke: new ol.style.Stroke({\n color: '#3399CC',\n width: 1.25,\n }),\n radius: 5,\n }),\n fill: new ol.style.Fill({\n color: 'rgba(255,255,255,0.4)',\n }),\n stroke: new ol.style.Stroke({\n color: '#3399CC',\n width: 1.25,\n }),\n }),\n ];\n};\n\n/**\n * Create and return a vector layer with current parameters\n */\nfunction makeVectorLayer() {\n const vs = new ol.source.Vector({\n format: new ol.format.GeoJSON(),\n projection: ol.proj.get('EPSG:3857'),\n url: `/api/1/shef_currents.geojson?duration=${duration}&pe=${physical_code}&days=${days}`,\n });\n vs.on('change', () => {\n if (vs.getFeatures().length === 0) {\n alert('No Data Found!'); // skipcq\n }\n });\n return new ol.layer.Vector({\n source: vs,\n style: vectorStyleFunction,\n });\n}\n\n/**\n * Show a popup with station information\n */\nfunction showPopup(coord, content) {\n // Create a simple popup div if it doesn't exist\n let popupDiv = document.getElementById('simple-popup');\n if (!popupDiv) {\n popupDiv = document.createElement('div');\n popupDiv.id = 'simple-popup';\n popupDiv.className = 'simple-popup';\n document.body.appendChild(popupDiv);\n }\n\n // Create close button element\n const closeButton = document.createElement('div');\n closeButton.innerHTML = '×';\n closeButton.className = 'popup-close-button';\n closeButton.addEventListener('click', hidePopup);\n\n // Set content with close button\n popupDiv.innerHTML = '';\n popupDiv.appendChild(closeButton);\n const contentDiv = document.createElement('div');\n contentDiv.innerHTML = content;\n popupDiv.appendChild(contentDiv);\n\n popupDiv.style.display = 'block';\n\n // Position the popup near the click location\n const pixel = map.getPixelFromCoordinate(coord);\n const mapElement = document.getElementById('map');\n const rect = mapElement.getBoundingClientRect();\n\n // Add scroll offsets to handle page scrolling\n const scrollLeft = window.pageXOffset || document.documentElement.scrollLeft;\n const scrollTop = window.pageYOffset || document.documentElement.scrollTop;\n\n // Calculate popup position with proper offsets\n const left = rect.left + scrollLeft + pixel[0] + 10;\n const top = rect.top + scrollTop + pixel[1] - 60;\n\n popupDiv.style.left = `${left}px`;\n popupDiv.style.top = `${top}px`;\n}\n\n/**\n * Hide the popup\n */\nfunction hidePopup() {\n const popupDiv = document.getElementById('simple-popup');\n if (popupDiv) {\n popupDiv.style.display = 'none';\n }\n}\n\n/**\n * Initialize the map and UI components\n */\nfunction initializeMap() {\n vectorLayer = makeVectorLayer();\n map = new ol.Map({\n target: 'map',\n layers: [\n new ol.layer.Tile({\n title: 'Global Imagery',\n source: new ol.source.XYZ({\n attributions:\n 'Tiles © ArcGIS',\n url:\n 'https://server.arcgisonline.com/ArcGIS/rest/services/' +\n 'World_Imagery/MapServer/tile/{z}/{y}/{x}',\n }),\n }),\n new ol.layer.Tile({\n title: 'State Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/usstates/{z}/{x}/{y}.png',\n }),\n }),\n vectorLayer,\n ],\n view: new ol.View({\n projection: 'EPSG:3857',\n center: [-10575351, 5160979],\n zoom: 3,\n }),\n });\n\n const layerSwitcher = new ol.control.LayerSwitcher();\n map.addControl(layerSwitcher);\n\n // Handle map clicks for popup display\n map.on('click', evt => {\n const feature = map.forEachFeatureAtPixel(evt.pixel, feature2 => {\n return feature2;\n });\n if (feature) {\n const geometry = feature.getGeometry();\n const coord = geometry.getCoordinates();\n const content = `

    ID: ${feature.get('station')}
    Value: ${feature.get('value')}
    UTC Valid: ${feature.get('utc_valid')}

    `;\n showPopup(coord, content);\n } else {\n hidePopup();\n }\n });\n}\n\n/**\n * Parse URL parameters and set form values, handling legacy hash format\n */\nfunction parseLegacyHashParams() {\n const url = new URL(window.location);\n if (url.hash?.includes('.')) {\n const hashTokens = url.hash.substring(1).split('.');\n if (hashTokens.length === 3) {\n const pe = escapeHTML(hashTokens[0]);\n const dur = escapeHTML(hashTokens[1]);\n const daysParam = parseInt(hashTokens[2], 10);\n if (!isNaN(daysParam) && daysParam > 0) {\n return { pe, dur, days: daysParam, migrated: true };\n }\n }\n }\n return { migrated: false };\n}\n\nfunction parseModernUrlParams() {\n const url = new URL(window.location);\n const pe = url.searchParams.has('pe') ? escapeHTML(url.searchParams.get('pe')) : null;\n const dur = url.searchParams.has('duration')\n ? escapeHTML(url.searchParams.get('duration'))\n : null;\n let daysVal = null;\n if (url.searchParams.has('days')) {\n const daysParam = parseInt(url.searchParams.get('days'), 10);\n if (!isNaN(daysParam) && daysParam > 0) {\n daysVal = daysParam;\n }\n }\n return { pe, dur, days: daysVal };\n}\n\nfunction parseURLParams() {\n // Try legacy hash first\n const legacy = parseLegacyHashParams();\n let migrated = false;\n if (legacy.migrated) {\n physical_code = legacy.pe;\n duration = legacy.dur;\n days = legacy.days;\n migrated = true;\n }\n\n // Modern URL params override hash\n const modern = parseModernUrlParams();\n if (modern.pe) {\n physical_code = modern.pe;\n migrated = false;\n }\n if (modern.dur) {\n duration = modern.dur;\n migrated = false;\n }\n if (modern.days) {\n days = modern.days;\n migrated = false;\n }\n\n if (migrated) {\n updateURL();\n }\n\n // Set form values based on parsed or default values\n const peSelect = document.getElementById('pe');\n const durationSelect = document.getElementById('duration');\n const daysInput = document.getElementById('days');\n\n if (peSelect) {peSelect.value = physical_code;}\n if (durationSelect) {durationSelect.value = duration;}\n if (daysInput) {daysInput.value = days;}\n}\n\n/**\n * Initialize font size controls\n */\nfunction initializeFontControls() {\n const fplusButton = document.getElementById('fplus');\n const fminusButton = document.getElementById('fminus');\n\n if (fplusButton) {\n fplusButton.addEventListener('click', () => {\n fontSize += 2;\n vectorLayer.setStyle(vectorStyleFunction);\n });\n }\n\n if (fminusButton) {\n fminusButton.addEventListener('click', () => {\n fontSize -= 2;\n vectorLayer.setStyle(vectorStyleFunction);\n });\n }\n}\n\n/**\n * Initialize the application\n */\nfunction init() {\n initializeMap();\n parseURLParams();\n initializeFontControls();\n initializeFormHandlers();\n updateMap();\n}\n\n/**\n * Initialize form event handlers for real-time updates\n */\nfunction initializeFormHandlers() {\n const peSelect = document.getElementById('pe');\n const durationSelect = document.getElementById('duration');\n const daysInput = document.getElementById('days');\n\n let inputTimeout = null;\n\n if (peSelect) {\n peSelect.addEventListener('change', updateMap);\n }\n if (durationSelect) {\n durationSelect.addEventListener('change', updateMap);\n }\n if (daysInput) {\n // Use debounced input to prevent updates while user is typing\n daysInput.addEventListener('input', () => {\n clearTimeout(inputTimeout);\n inputTimeout = setTimeout(updateMap, 500); // Wait 500ms after user stops typing\n });\n\n // Also update on blur (when user clicks away)\n daysInput.addEventListener('blur', updateMap);\n }\n}\n\n// Initialize when DOM is loaded\nif (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', init);\n} else {\n init();\n}\n" }, { "path": "htdocs/DCP/map.php", "content": "title = \"SHEF Physical Code Map\";\n$OL = '10.5.0';\n$t->headextra = <<\n\n\nEOM;\n$t->jsextra = <<\n\n\nEOM;\n\n$t->content = <<\n \n

    This is the popover content

    \n\n\n\n\n
    \n
    \n\n
    \n\n\n\n
    \n\n

    The IEM processes the raw SHEF encoded data into its raw components which\ninclude the physical code and time duration. This tool presents a simple map\nof the last parsed value for a given physical code and duration. The within days\nlimits the map to only show stations that have reported the value within the\ngiven number of days. This is a work-in-progress here and your feedback would\nbe wonderful.

    \n\n

    Select Physical Code: \n\n\n    Duration:\n\n\n  Within # of Days: \n\n

    \n
    \n\n
    \n\nEOM;\n\n$t->render('full.phtml');\n" }, { "path": "htdocs/DCP/plot.module.js", "content": "// ES Module for DCP plotting application\n\nimport { escapeHTML, requireSelectElement } from '/js/iemjs/domUtils.js';\nimport { states } from '/js/iemjs/iemdata.js';\n\n// DOM element references\nlet stateSelect = null;\nlet stationSelect = null; \nlet variableSelect = null;\nlet dateInput = null;\nlet dayIntervalInput = null;\nlet imageDisplay = null;\nlet messageDiv = null;\n\n/**\n * Initialize the form elements and event handlers\n */\nfunction initializeForm() {\n // Get DOM elements\n stateSelect = requireSelectElement('state-select');\n stationSelect = requireSelectElement('station-select');\n variableSelect = requireSelectElement('variable-select');\n dateInput = document.getElementById('date-input');\n dayIntervalInput = document.getElementById('day-interval');\n imageDisplay = document.getElementById('imagedisplay');\n messageDiv = document.getElementById('msg');\n\n // Populate state dropdown\n populateStateSelect();\n\n // Set up event handlers\n stateSelect.addEventListener('change', handleStateChange);\n stationSelect.addEventListener('change', handleStationChange);\n \n // Set up form submission\n const plotButton = document.getElementById('plot-button');\n if (plotButton) {\n plotButton.addEventListener('click', updateImage);\n }\n\n // Set default values\n if (dateInput) {\n const today = new Date();\n dateInput.value = formatDateForInput(today);\n dateInput.setAttribute('min', '2002-01-01');\n dateInput.setAttribute('max', formatDateForInput(today));\n }\n\n if (dayIntervalInput) {\n dayIntervalInput.value = '5';\n dayIntervalInput.min = '1';\n dayIntervalInput.max = '31';\n }\n\n // Check URL for initial values (supports both legacy hash and modern URLParams)\n parseURLHash();\n parseURLParams();\n}\n\n/**\n * Populate the state dropdown with options\n */\nfunction populateStateSelect() {\n // Clear existing options except the first placeholder\n stateSelect.innerHTML = '';\n \n states.forEach(([abbr, name]) => {\n const option = document.createElement('option');\n option.value = abbr;\n option.textContent = `[${abbr}] ${name}`;\n stateSelect.appendChild(option);\n });\n}\n\n/**\n * Handle state selection change\n */\nasync function handleStateChange() {\n const selectedState = stateSelect.value;\n \n // Clear dependent dropdowns\n clearSelect(stationSelect, 'Select Station...');\n clearSelect(variableSelect, 'Select Variable...');\n clearMessage();\n\n if (!selectedState) {return;}\n\n try {\n const response = await fetch(`/json/network.json?network=${selectedState}_DCP`);\n if (!response.ok) {throw new Error('Network response was not ok');}\n \n const data = await response.json();\n populateStationSelect(data.stations || []);\n } catch (error) {\n showMessage(`Error loading stations: ${error.message}`);\n }\n}\n\n/**\n * Populate station dropdown\n */\nfunction populateStationSelect(stations) {\n clearSelect(stationSelect, 'Select Station...');\n \n stations.forEach(station => {\n const option = document.createElement('option');\n option.value = station.id;\n option.textContent = `[${station.id}] ${station.name}`;\n stationSelect.appendChild(option);\n });\n}\n\n/**\n * Handle station selection change\n */\nasync function handleStationChange() {\n const selectedStation = stationSelect.value;\n \n // Clear variable dropdown\n clearSelect(variableSelect, 'Select Variable...');\n clearMessage();\n\n if (!selectedStation) {return;}\n\n try {\n const response = await fetch(`/json/dcp_vars.json?station=${selectedStation}`);\n if (!response.ok) {throw new Error('Network response was not ok');}\n \n const data = await response.json();\n populateVariableSelect(data.vars || []);\n \n if (data.vars && data.vars.length === 0) {\n showMessage('Sorry, did not find any variables for this site!');\n }\n } catch (error) {\n showMessage(`Error loading variables: ${error.message}`);\n }\n}\n\n/**\n * Populate variable dropdown\n */\nfunction populateVariableSelect(variables) {\n clearSelect(variableSelect, 'Select Variable...');\n \n variables.forEach(variable => {\n const option = document.createElement('option');\n option.value = variable.id;\n option.textContent = `[${variable.id}]`;\n variableSelect.appendChild(option);\n });\n}\n\n/**\n * Clear a select element and add placeholder option\n */\nfunction clearSelect(selectElement, placeholderText) {\n selectElement.innerHTML = ``;\n}\n\n/**\n * Show message to user\n */\nfunction showMessage(message) {\n if (messageDiv) {\n messageDiv.textContent = message;\n }\n}\n\n/**\n * Clear message\n */\nfunction clearMessage() {\n if (messageDiv) {\n messageDiv.textContent = '';\n }\n}\n\n/**\n * Format date for HTML date input (YYYY-MM-DD)\n */\nfunction formatDateForInput(date) {\n return date.toISOString().split('T')[0];\n}\n\n/**\n * Add days to a date\n */\nfunction addDays(date, days) {\n const result = new Date(date);\n result.setDate(result.getDate() + days);\n return result;\n}\n\n/**\n * Validate form inputs for plotting\n * @returns {object} validation result with isValid flag and error message\n */\nfunction validatePlotInputs() {\n const state = stateSelect.value;\n const station = stationSelect.value;\n const variable = variableSelect.value;\n const startDate = dateInput?.value;\n const dayInterval = parseInt(dayIntervalInput?.value || '5', 10);\n\n if (!state || !station || !variable || !startDate) {\n return { isValid: false, error: 'Please fill in all required fields.' };\n }\n\n return { isValid: true, values: { state, station, variable, startDate, dayInterval } };\n}\n\n/**\n * Generate plot image URL\n * @param {object} values form values\n * @returns {string} image URL\n */\nfunction generatePlotImageUrl(values) {\n const { station, variable, startDate, dayInterval } = values;\n const startDateObj = new Date(startDate);\n const endDateObj = addDays(startDateObj, dayInterval);\n const endDate = formatDateForInput(endDateObj);\n\n const params = new URLSearchParams({\n station,\n sday: startDate,\n eday: endDate,\n var: variable\n });\n \n return `plot.php?${params.toString()}`;\n}\n\n/**\n * Update the plot image and URL\n */\nfunction updateImage() {\n const validation = validatePlotInputs();\n \n if (!validation.isValid) {\n showMessage(validation.error);\n return;\n }\n\n try {\n const imageUrl = generatePlotImageUrl(validation.values);\n \n if (imageDisplay) {\n imageDisplay.src = imageUrl;\n }\n\n // Update browser URL\n const { state, station, variable, startDate, dayInterval } = validation.values;\n updateURL(state, station, variable, startDate, dayInterval);\n \n clearMessage();\n } catch (error) {\n showMessage(`Error creating plot: ${error.message}`);\n }\n}\n\n/**\n * Update the URL with current form values using URLSearchParams\n */\nfunction updateURL(state, station, variable, startDate, dayInterval) {\n const url = new URL(window.location);\n url.searchParams.set('state', state);\n url.searchParams.set('station', station);\n url.searchParams.set('variable', variable);\n url.searchParams.set('startDate', startDate);\n url.searchParams.set('dayInterval', dayInterval);\n \n // Update URL without reloading the page\n window.history.replaceState({}, '', url);\n}\n\n/**\n * Extract URL parameters\n * @returns {object|null} URL parameters or null if insufficient data\n */\nfunction extractURLParameters() {\n const urlParams = new URLSearchParams(window.location.search);\n \n const state = urlParams.get('state');\n const station = urlParams.get('station');\n const variable = urlParams.get('variable');\n const startDate = urlParams.get('startDate');\n const dayInterval = urlParams.get('dayInterval');\n\n // Only proceed if we have the minimum required parameters\n if (!state || !station || !variable || !startDate) {\n return null;\n }\n\n return { state, station, variable, startDate, dayInterval };\n}\n\n/**\n * Validate URL parameters\n * @param {object} params URL parameters\n * @returns {object} validation result\n */\nfunction validateURLParams(params) {\n const { startDate, dayInterval } = params;\n\n // Validate date format (YYYY-MM-DD)\n const dateRegex = /^\\d{4}-\\d{2}-\\d{2}$/;\n if (!dateRegex.test(startDate)) {\n return { isValid: false, error: 'Invalid date format in URL. Please use YYYY-MM-DD format.' };\n }\n\n // Validate dayInterval is a reasonable number\n const interval = parseInt(dayInterval, 10);\n if (dayInterval && (isNaN(interval) || interval < 1 || interval > 31)) {\n return { isValid: false, error: 'Invalid day interval in URL. Must be between 1 and 31 days.' };\n }\n\n return { isValid: true };\n}\n\n/**\n * Parse URL search parameters and set form values\n */\nfunction parseURLParams() {\n const params = extractURLParameters();\n if (!params) {return;}\n\n const validation = validateURLParams(params);\n if (!validation.isValid) {\n showMessage(validation.error);\n return;\n }\n\n const { state, station, variable, startDate, dayInterval } = params;\n setFormValues(state, station, variable, startDate, dayInterval || '5');\n}\n\n/**\n * Parse URL hash and migrate to URLParams (for backward compatibility)\n * Legacy URLs used format: #IA.AEEI4.HGIZ.2024-12-01.7\n * New URLs use format: ?state=IA&station=AEEI4&variable=HGIZ&startDate=2024-12-01&dayInterval=7\n */\nfunction parseURLHash() {\n const hash = window.location.hash.substring(1); // Remove #\n if (!hash) {return;}\n\n const tokens = hash.split('.');\n if (tokens.length !== 5) {return;}\n\n const [state, station, variable, startDate, dayInterval] = tokens;\n\n // Migrate hash to URLParams and clear the hash\n const url = new URL(window.location);\n url.searchParams.set('state', state);\n url.searchParams.set('station', station);\n url.searchParams.set('variable', variable);\n url.searchParams.set('startDate', startDate);\n url.searchParams.set('dayInterval', dayInterval);\n url.hash = ''; // Clear the hash\n \n // Update URL and set form values\n window.history.replaceState({}, '', url);\n setFormValues(state, station, variable, startDate, dayInterval);\n}\n\n/**\n * Set form values and trigger appropriate updates\n */\nfunction setFormValues(state, station, variable, startDate, dayInterval) {\n if (state && stateSelect) {\n stateSelect.value = state;\n handleStateChange().then(() => {\n if (station && stationSelect) {\n // Wait a bit for stations to load, then set station\n setTimeout(() => {\n stationSelect.value = station;\n handleStationChange().then(() => {\n if (variable && variableSelect) {\n // Wait for variables to load, then set variable\n setTimeout(() => {\n variableSelect.value = variable;\n if (dateInput && startDate) {dateInput.value = startDate;}\n if (dayIntervalInput && dayInterval) {dayIntervalInput.value = dayInterval;}\n updateImage();\n }, 100);\n }\n });\n }, 100);\n }\n });\n }\n}\n\n// Initialize when DOM is loaded\ndocument.addEventListener('DOMContentLoaded', initializeForm);\n\n// Export functions for potential external use\nexport { initializeForm, updateImage };\n" }, { "path": "htdocs/DCP/plot.php", "content": "SetScale(\"datelin\");\n\n$graph->SetMarginColor('white');\n\n$graph->img->SetMargin(40, 40, 45, 120);\n\n$title = sprintf(\n \"%s [%s] \\nPlot of SHEF Variable [%s]\",\n $nt->table[$station]['name'],\n $station,\n $varname\n);\n$graph->title->Set($title);\n\n$graph->xaxis->scale->SetDateFormat(\"M d h A\");\n\n$graph->xaxis->SetTitle(sprintf(\n \"Time Interval: %s - %s\",\n date('d M Y', $sday),\n date('d M Y', $eday)\n));\n\n$graph->xaxis->SetTitleMargin(90);\n$graph->xaxis->SetLabelAngle(90);\n\n// Create the linear plot\n$lineplot = new LinePlot($data, $times);\n$lineplot->SetColor(\"red\");\n$lineplot->SetWeight(2);\n$graph->Add($lineplot);\n\n// Display the graph\n$graph->Stroke();\n" }, { "path": "htdocs/DCP/plot.phtml", "content": "jsextra = <<\nEOM;\n\n$t->content = <<\n
      \n
    1. DCP/HADS Mainpage
      2. \n
    2. Historical DCP Plotting
      3. \n
    \n\n\n

    This application allows you to plot historical DCP data for \na station, time period, and variable of your choice. Select a station first\nto reveal available variables for that station. You may also wish to\ndownload the raw observations.

    \n\n
    \n\n
    \n
    \n
    \n

    Make Plot Selections Below...

    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n \n
    \n
    \n
    \n

    \n \n
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/DCP/site.css", "content": "#map {\n width: 100%;\n height: 400px;\n border: 2px solid black;\n}" }, { "path": "htdocs/DCP/site.phtml", "content": "title = \"SHEF Data by Site by Day\";\n$t->iemselect2 = TRUE;\n$t->headextra = <<\nEOM;\nif (is_null($station)) {\n $t->headextra .= <<\n\nEOM;\n $t->jsextra = <<\n\n\nEOM;\n}\n\n$nselect = '\";\n$n2select = networkSelect($network, $station);\n\n$ys = yearSelect(2002, $year);\n$ms = monthSelect($month);\n$ds = daySelect($day);\n\n$extra = \"\";\nif (is_null($station)) {\n $extra = <<Click on the dot to select your site:
    \n
    \nEOM;\n} else {\n if (!$alone) {\n $extra = <<This site is listed within the IEM database as both a \n \"COOP\" and \"DCP\" site. This printout below will only include a days \n worth of data.\nEOM;\n }\n $extra .= \"

    \n \";\n $theader = \"\";\n foreach ($mycols as $k => $v) {\n $theader .= sprintf(\n '',\n $station,\n $network,\n date(\"Y\", $ts),\n date(\"m\", $ts),\n date(\"d\", $ts),\n $v,\n $v,\n );\n }\n $theader .= \"\";\n $extra .= $theader;\n\n $times = array_keys($data);\n if (sizeof($times) == 0) {\n $extra .= \"\";\n }\n $colorme = True;\n $cnt = 0;\n foreach ($times as $k => $ts) {\n $extra .= sprintf(\n \"\",\n ($colorme) ? \" style='background: #eee;'\" : \"\",\n $station,\n date(\"Y\", $ts),\n date(\"m\", $ts),\n date(\"d\", $ts),\n date(\"H\", $ts),\n date(\"i\", $ts),\n date(\"Y-m-d H:i\", $ts)\n );\n $colorme = !$colorme;\n foreach ($mycols as $k => $v) {\n $extra .= sprintf(\"\", $data[$ts][$v] ?? '');\n }\n $extra .= \"\";\n\n $cnt += 1;\n }\n\n $extra .= \"
    Site:Valid:%s
    No Data Found
    %s%s%s
    \";\n}\n\n$t->content = <<\n
      \n
    1. GOES DCP/HADS Mainpage
      2. \n
    2. List Obs by Date
      3. \n
    \n\n
    \n
    \n
    \n
    \n

    SHEF Site Observations by Date

    \n
      \n
    • Timestamps are presented in central standard or daylight time
      • \n
    • The column headings are the SHEF encoded variable names.
      • \n
    • Archive begins on 1 Jan 2002 for Iowa, 9 Dec 2010 for other states. The archive is not complete for all the sites listed.
      • \n
    • The IEM classifies SHEF provided data into two classes on a state by state basis. The COOP network sites are mostly official once-daily cooperative observer sites. The DCP network is everybody else!
      • \n
    • If you select a COOP network site, you are provided observations for the entire year.
      • \n
    \n
    \n
    \n \n {$nselect}\n
    \n
    \n \n
    \n
    \n
    \n \n
    \n \n {$n2select}\n \n
    \n
    \n \n {$ys}\n
    \n
    \n \n {$ms}\n
    \n
    \n \n {$ds}\n
    \n
    \n \n
    \n
    \n
    \n
    \n
    \n
    \n{$extra}\nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/DCP/tomb.module.js", "content": "\n// Vanilla JS table filter for #table1\ndocument.addEventListener('DOMContentLoaded', () => {\n const table = document.getElementById('table1');\n if (!table) {return;}\n const rows = [...table.tBodies[0].rows];\n\n const updateCount = (countNode, visible, total) => {\n countNode.textContent = `${visible} of ${total} rows shown`;\n };\n\n // Create filter input\n const filterDiv = document.createElement('div');\n filterDiv.className = 'row g-2 align-items-end mb-3';\n const controlCol = document.createElement('div');\n controlCol.className = 'col-sm-8 col-md-6 col-lg-4';\n const label = document.createElement('label');\n label.textContent = 'Filter Table By';\n label.setAttribute('for', 'table1-filter');\n label.className = 'form-label';\n const input = document.createElement('input');\n input.type = 'text';\n input.id = 'table1-filter';\n input.className = 'form-control';\n input.setAttribute('placeholder', 'Filter by NWSLI, source, or product');\n input.setAttribute('aria-describedby', 'table1-filter-count');\n const count = document.createElement('div');\n count.id = 'table1-filter-count';\n count.className = 'form-text';\n label.appendChild(input);\n controlCol.appendChild(label);\n controlCol.appendChild(count);\n filterDiv.appendChild(controlCol);\n\n // Insert filter above table\n table.parentNode.insertBefore(filterDiv, table);\n updateCount(count, rows.length, rows.length);\n\n input.addEventListener('input', () => {\n const filter = input.value.trim().toLowerCase();\n let visibleRows = 0;\n for (const row of rows) {\n const text = row.textContent.toLowerCase();\n const matches = filter === '' || text.includes(filter);\n row.style.display = matches ? '' : 'none';\n if (matches) {\n visibleRows += 1;\n }\n }\n updateCount(count, visibleRows, rows.length);\n });\n});\n" }, { "path": "htdocs/DCP/tomb.phtml", "content": "\n\n \n \n \n \n \n \n \n \nEOM;\n$floor = date(\"YmdHi\", time() - 8 * 86400);\nfor ($i = 0; $row = pg_fetch_assoc($rs); $i++) {\n $product = htmlspecialchars($row[\"max\"], ENT_QUOTES);\n $nwsli = htmlspecialchars($row[\"nwsli\"], ENT_QUOTES);\n $source = htmlspecialchars(substr($row[\"max\"], 13, 4), ENT_QUOTES);\n $link = sprintf(\n '%s',\n urlencode($row[\"max\"]),\n $product\n );\n if (substr($row[\"max\"], 0, 12) < $floor) {\n $link = $product;\n }\n $table .= sprintf(\n \"\\n\",\n $nwsli,\n $source,\n $link\n );\n}\n$table .= \"
    NWSLIWMO SourceRecent Product
    %s%s%s
    \";\n\n$t = new MyView();\n$t->title = \"Unknown NWSLIs used in SHEF Products\";\n$t->jsextra = <<\nEOM;\n\n$t->content = <<\n
      \n
    1. HADS/DCP Mainpage
      2. \n
    2. Unknown NWSLIs
      3. \n
    \n\n\n
    \n Unknown NWSLIs used in SHEF Products\n
    \n

    The IEM attempts to process all SHEF encoded products that come via a\nNOAAPort data stream. The identifiers used by the stations reported in this\ndata feed are supposed to adhere to the SHEF Manual\nspecification for site identifiers. The most common set of identifiers are\nfound within the National Weather Service Location Identifier (NWSLI) database.\nUnfortunately, not all site ids used by issuance centers are contained within\nNWSLI. This page lists out unknown NWSLI-like identifiers.

    \n\n

    The IEM gets about a quarterly dump of the NWSLI database, which was most\nrecently received on {$nwsli_sync_date}. So newly added sites\nto NWSLI and listed here would be false positives. The IEM maintains only\na seven day archive of raw SHEF products, so thus why only some links are\nactive within the table.

    \n\n

    This page is similar to\nNOHRSC's Unknown Stations,\nbut this page only contains NWSLI-like identifiers.

    \n\n{$table}\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/ams_030211.phtml", "content": "title = \"AMS GIS Presentation\";\n\n$t->content = <<2003 AMS Presentation Notes\n\n
    Sorry, some of the links on this page are no\n longer functioning.
    \n \n

    On 11 Feb 2003, the IEM presented a paper at the 83rd AMS\nAnnual Meeting in Long Beach California. This page contains links to the\npresentation and URLS for applications referenced in the talk.

    \n\n\n

    Example 1\nClimatological Data\n
    Interactive climate plots are generated from a climate spatial database. \nYou can download data you see presented in GIS format.

    \n\n

    Example 2 IEM Real-time Precipitation Analysis (discontinued)\n
    Current rainfall observations are combined with NEXRAD precip imagery to\ncreate this dynamic plotting application. Data is immediately available to\ndownload from this app.

    \n\n

    Example 3 Archived NEXRAD vs ASOS/AWOS precipitation comparisons\n
    This application allows dynamic comparisons between historical hourly rainfall\nestimates from the NEXRAD and observations from the AWOS/ASOS. Eventually, this \napplication will work in real-time and archived mode and with other networks.

    \n\n

    Example 4 IEM Site Location Maps\n
    This slick application combines topography, photography and other layers\nwith an IEM site location to produce a zoomable plot of a site's location. The\nmaps are fascinating to look at. Once you follow the link, you will\nwant to select a station and then \"Location Maps\".

    \n\n

    Example 5\nDynamic Data Plotter\n
    Utilizing GIS data and the power of PHP, dynamic images are generated from\nuser selections of stations and data variable.

    \n\n

    All of these applications are open-source and available for your use. Please\nsend Daryl (akrherz@iastate.edu) an email if you are interested in any of these apps.\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/agclimate/chill.php", "content": "table;\n\n$year = get_int404(\"year\", date(\"Y\", time() - 86400 - (7 * 3600)));\n$month = get_int404(\"month\", date(\"m\", time() - 86400 - (7 * 3600)));\n$day = get_int404(\"day\", date(\"d\", time() - 86400 - (7 * 3600)));\n$date = isset($_GET[\"date\"]) ? xssafe($_GET[\"date\"]) : $year . \"-\" . $month . \"-\" . $day;\n\n$ts = strtotime($date);\n\n$myStations = $ISUAGcities;\n$height = 480;\n$width = 640;\n\n$map = new mapObj(\"../../../../data/gis/base26915.map\");\n$map->setProjection(\"init=epsg:26915\");\n$map->setsize($width, $height);\n$map->setextent(175000, 4440000, 775000, 4890000);\n\n$counties = $map->getLayerByName(\"counties\");\n$counties->__set(\"status\", MS_ON);\n\n$snet = $map->getLayerByName(\"station_plot\");\n$snet->__set(\"status\", MS_ON);\n\n$iards = $map->getLayerByName(\"iards\");\n$iards->__set(\"status\", 1);\n\n$bar640t = $map->getLayerByName(\"bar640t\");\n$bar640t->__set(\"status\", MS_ON);\n\n$states = $map->getLayerByName(\"states\");\n$states->__set(\"status\", MS_ON);\n\n$ponly = $map->getLayerByName(\"pointonly\");\n$ponly->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n$counties->draw($map, $img);\n$states->draw($map, $img);\n$iards->draw($map, $img);\n$bar640t->draw($map, $img);\n\n$c = iemdb(\"isuag\");\n// Figure out when we should start counting\n$doy1 = date(\"j\", mktime(0, 0, 0, 9, 1, $year));\n$doy2 = date(\"j\", $ts);\n$edate = date(\"Y-m-d\", $ts);\nif ($month >= 9) {\n $sdate = sprintf(\"%s-09-01\", $year);\n $dateint = \"extract(doy from valid) BETWEEN $doy1 and $doy2\";\n} else {\n $sdate = sprintf(\"%s-09-01\", intval($year) - 1);\n $dateint = \"(extract(doy from valid) < $doy1 or extract(doy from valid) > $doy2)\";\n}\n\n$data = array();\n$dbargs = array($sdate, $edate);\n$sql = << $1 and tair_c_avg < f2c(29.0) and\n valid < $2 GROUP by station\nEOM;\n$stname = iem_pg_prepare($c, $sql);\n$rs = pg_execute($c, $stname, $dbargs);\n\n$sql = <<< EOM\n select count(distinct valid) as c from sm_hourly \n WHERE station = $1 and valid > $2 and valid < $3\n and tair_c_avg >= f2c(32.0) and tair_c_avg <= f2c(45.0)\nEOM;\n$sub_st1 = iem_pg_prepare($c, $sql);\n\n$sql = <<< EOM\n select count(distinct valid) as c \n from sm_hourly WHERE station = $1 and tair_c_avg >= f2c(32)\n and tair_c_avg <= f2c(45) \n and extract(year from valid) >= $2 and \n extract(year from valid) < extract(year from now()) and\n $dateint\nEOM;\n$sub_st2 = iem_pg_prepare($c, $sql);\n\nwhile ($row = pg_fetch_assoc($rs)) {\n $bdate = $sdate;\n $key = $row[\"station\"];\n\n $data[$key]['name'] = $ISUAGcities[$key]['name'];\n $data[$key]['lon'] = $ISUAGcities[$key]['lon'];\n $data[$key]['lat'] = $ISUAGcities[$key]['lat'];\n\n $rs2 = pg_execute($c, $sub_st1, array($key, $row[\"v\"], $edate));\n if (pg_num_rows($rs2) == 0) {\n continue;\n }\n $r = pg_fetch_assoc($rs2, 0);\n $val = $r[\"c\"];\n\n $data[$key]['var'] = $val;\n\n // Calculate average?\n $syear = 2000;\n if (!is_null($ISUAGcities[$key][\"archive_begin\"])) {\n $syear = intval($ISUAGcities[$key][\"archive_begin\"]->format(\"Y\"));\n }\n\n $rs2 = pg_execute($c, $sub_st2, array($key, $syear));\n if (pg_num_rows($rs2) == 0) continue;\n $r = pg_fetch_assoc($rs2, 0);\n if ((intval(date(\"Y\")) - $syear - 1) == 0) continue;\n $avg = ($r[\"c\"]) / (intval(date(\"Y\")) - $syear - 1);\n\n $data[$key]['var2'] = round($avg, 0);\n\n // Red Dot... \n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n $pt->draw($map, $ponly, $img, 0, \"\");\n\n // Value UL\n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n $pt->draw($map, $snet, $img, 1, $val);\n\n // City Name\n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n if ($key == \"A131909\" || $key == \"A130209\") {\n $pt->draw($map, $snet, $img, 0, $ISUAGcities[$key]['name']);\n } else {\n $pt->draw($map, $snet, $img, 0, $ISUAGcities[$key]['name']);\n }\n}\n\niemmap_title(\n $map,\n $img,\n \"Standard Chill Units [ $sdate thru \" . date(\"Y-m-d\", $ts) . \" ]\",\n (pg_num_rows($rs) == 0) ? 'No Data Found!' : null\n);\n$map->drawLabelCache($img);\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/apps/agclimate/dayplot.phtml", "content": " {\n const props = feature.getProperties();\n if (props[datavar] === null || props[datavar] === undefined) {\n return; // Skip missing data\n }\n \n let climo = \"M\";\n if (props[climovar] !== null && props[climovar] !== undefined) {\n climo = roundValue(props[climovar], datavar);\n }\n \n // Format each field with proper width and alignment\n const station = props.station.toString().padEnd(5);\n const name = props.name.substring(0, 40).padEnd(40);\n const city = props.city.substring(0, 15).padEnd(15);\n const lat = props.lat.toFixed(4).padStart(10);\n const lon = props.lon.toFixed(4).padStart(10);\n const value = roundValue(props[datavar], datavar).toString().padStart(10);\n const climoStr = climo.toString().padStart(10);\n \n output += `${station},${name},${city},${lat},${lon},${value},${climoStr}\\n`;\n });\n \n return output;\n}\n\nfunction createPopupContent(feature) {\n const props = feature.getProperties();\n const mapDiv = document.getElementById('map');\n if (!mapDiv) {return '';}\n \n if (!datavar) {\n return '';\n }\n const vardisplay = mapDiv.dataset.vardisplay;\n \n let value = props[datavar];\n if (value === null || value === undefined) {\n value = \"M\";\n } else {\n value = roundValue(value, datavar);\n }\n \n return `\n

    \n

    ${props.name}

    \n

    Station ID: ${props.station}

    \n

    City: ${props.city}

    \n

    Location: ${props.lat.toFixed(4)}, ${props.lon.toFixed(4)}

    \n
    \n

    ${vardisplay}: ${value}

    \n
    \n `;\n}\n\nfunction initMap() {\n const mapDiv = document.getElementById('map');\n if (!mapDiv) {return;}\n const wsuri = mapDiv.dataset.wsuri;\n datavar = mapDiv.dataset.datavar;\n if (!wsuri || !datavar) {return;}\n\n // Create data layer\n dataLayer = new ol.layer.Vector({\n title: 'ISU Soil Moisture Station Data',\n source: new ol.source.Vector({\n url: wsuri,\n format: new ol.format.GeoJSON(),\n projection: 'EPSG:4326'\n }),\n style: (feature) => {\n const props = feature.getProperties();\n const value = props[datavar];\n \n if (value === null || value === undefined) {\n // Missing data - gray circle\n return new ol.style.Style({\n image: new ol.style.Circle({\n radius: 8,\n fill: new ol.style.Fill({color: '#cccccc'}),\n stroke: new ol.style.Stroke({color: '#000000', width: 1})\n })\n });\n }\n \n // Display value as text on the map\n const displayValue = roundValue(value, datavar);\n \n return new ol.style.Style({\n image: new ol.style.Circle({\n radius: 18,\n fill: new ol.style.Fill({color: 'rgba(255, 255, 255, 0.9)'}),\n stroke: new ol.style.Stroke({color: '#0066cc', width: 2})\n }),\n text: new ol.style.Text({\n text: displayValue.toString(),\n font: 'bold 13px Arial',\n fill: new ol.style.Fill({color: '#0066cc'}),\n stroke: new ol.style.Stroke({color: '#ffffff', width: 3})\n })\n });\n }\n });\n\n // Base layers\n const osmLayer = new ol.layer.Tile({\n title: 'OpenStreetMap',\n type: 'base',\n visible: true,\n source: new ol.source.OSM()\n });\n \n const stateLayer = new ol.layer.Tile({\n title: 'State Boundaries',\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/usstates/{z}/{x}/{y}.png'\n })\n });\n\n const countyLayer = new ol.layer.Tile({\n title: 'County Boundaries',\n visible: false,\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/uscounties/{z}/{x}/{y}.png'\n })\n });\n\n // Create map\n map = new ol.Map({\n target: 'map',\n layers: [osmLayer, stateLayer, countyLayer, dataLayer],\n view: new ol.View({\n projection: 'EPSG:3857',\n center: ol.proj.transform([-93.5, 42.1], 'EPSG:4326', 'EPSG:3857'),\n zoom: 7\n })\n });\n\n // Add layer switcher\n const layerSwitcher = new ol.control.LayerSwitcher();\n map.addControl(layerSwitcher);\n\n // Create popup overlay\n const popupElement = document.createElement('div');\n popupElement.className = 'ol-popup';\n popupElement.style.cssText = `${''}\n background: white;\n border: 2px solid #000;\n border-radius: 5px;\n padding: 10px;\n box-shadow: 0 1px 4px rgba(0,0,0,0.2);\n max-width: 300px;\n `;\n \n popup = new ol.Overlay({\n element: popupElement,\n positioning: 'bottom-center',\n stopEvent: false,\n offset: [0, -15]\n });\n map.addOverlay(popup);\n\n // Handle map clicks\n map.on('click', (evt) => {\n const feature = map.forEachFeatureAtPixel(evt.pixel, (feature2) => {\n return feature2;\n });\n \n if (feature) {\n const coordinates = feature.getGeometry().getCoordinates();\n popup.setPosition(coordinates);\n popupElement.innerHTML = createPopupContent(feature);\n } else {\n popup.setPosition();\n }\n });\n\n // Handle data loading\n dataLayer.getSource().on('change', () => {\n const state = dataLayer.getSource().getState();\n const tableElement = document.getElementById('datatable');\n if (!tableElement) {return;}\n \n if (state === 'loading') {\n tableElement.textContent = 'Loading station data...';\n } else if (state === 'ready') {\n const features = dataLayer.getSource().getFeatures();\n if (features.length > 0) {\n // Generate and populate ASCII table\n const tableContent = generateASCIITable(features);\n tableElement.textContent = tableContent;\n \n // Fit map to data extent with padding\n map.getView().fit(dataLayer.getSource().getExtent(), {\n size: map.getSize(),\n padding: [50, 50, 50, 50],\n maxZoom: 10\n });\n \n } else {\n tableElement.textContent = 'No data available for the selected period.';\n }\n } else if (state === 'error') {\n tableElement.textContent = 'Error loading data. Please try refreshing the page or selecting a different time period.';\n }\n });\n\n // Handle cursor changes on hover\n map.on('pointermove', (evt) => {\n const pixel = map.getEventPixel(evt.originalEvent);\n const hit = map.hasFeatureAtPixel(pixel);\n const target = map.getTarget();\n if (target?.style) {\n target.style.cursor = hit ? 'pointer' : '';\n }\n });\n}\n\nwindow.addEventListener('DOMContentLoaded', () => {\n // Initialize the map\n initMap();\n\n // Handle CSV download (vanilla JS)\n const saveBtn = document.getElementById('save');\n if (saveBtn) {\n saveBtn.addEventListener('click', () => {\n const datatable = document.getElementById('datatable');\n if (!datatable) {return;}\n const content = datatable.textContent.split(/\\n/).slice(2).join(\"\\n\");\n const link = document.createElement('a');\n link.setAttribute('download', 'isusm.csv');\n link.setAttribute('href', `data:text/plain;charset=utf-8,${encodeURIComponent(content)}`);\n link.click();\n });\n }\n});" }, { "path": "htdocs/GIS/apps/agclimate/gsplot.php", "content": " \"Growing Degree Days (base=32)\",\n \"gdd41\" => \"Growing Degree Days (base=41)\",\n \"gdd46\" => \"Growing Degree Days (base=46)\",\n \"gdd48\" => \"Growing Degree Days (base=48)\",\n \"gdd50\" => \"Growing Degree Days (base=50)\",\n \"gdd51\" => \"Growing Degree Days (base=51)\",\n \"gdd52\" => \"Growing Degree Days (base=52)\",\n \"et\" => \"Potential Evapotranspiration (inch)\",\n \"precip\" => \"Precipitation (inch)\",\n \"srad\" => \"Solar Radiation (langleys)\",\n \"sgdd50\" => \"Soil Growing Degree Days (base=50)\",\n \"sgdd52\" => \"Soil Growing Degree Days (base=52)\",\n \"sdd86\" => \"Stress Degree Days (base=86)\"\n);\n\n$rnd = array(\n \"gdd\" => 0,\n \"et\" => 2, \"c11\" => 2,\n \"precip\" => 2,\n \"srad\" => 0,\n \"sgdd\" => 0\n);\n\n$proj = \"init=epsg:26915\";\n\n$map = new mapObj(\"../../../../data/gis/base26915.map\");\n$map->setsize($width, $height);\n$map->setProjection($proj);\n\n$map->setextent(175000, 4440000, 775000, 4890000);\n\n$counties = $map->getLayerByName(\"counties\");\n$counties->__set(\"status\", MS_ON);\n\n$snet = $map->getLayerByName(\"station_plot\");\n$snet->__set(\"status\", MS_ON);\n\n$iards = $map->getLayerByName(\"iards\");\n$iards->__set(\"status\", MS_ON);\n\n$bar640t = $map->getLayerByName(\"bar640t\");\n$bar640t->__set(\"status\", MS_ON);\n\n$ponly = $map->getLayerByName(\"pointonly\");\n$ponly->__set(\"status\", MS_ON);\n\n$states = $map->getLayerByName(\"states\");\n$states->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n$counties->draw($map, $img);\n$states->draw($map, $img);\n$iards->draw($map, $img);\n$bar640t->draw($map, $img);\n\n$sdate = new DateTime(\"{$year}-{$smonth}-{$sday}\");\n$edate = new DateTime(\"{$year}-{$emonth}-{$eday}\");\n$sstr_txt = $sdate->format(\"M j\");\n$estr_txt = $edate->format(\"M j\");\n\n$jdata = file_get_contents($INTERNAL_BASEURL . $wsuri);\n$jobj = json_decode($jdata, $assoc = TRUE);\n\nforeach ($jobj[\"features\"] as $bogus => $value) {\n $props = $value[\"properties\"];\n $value = $props[$datavar];\n if (is_null($value)) {\n continue;\n }\n $sid = $props[\"station\"];\n $lon = $props[\"lon\"];\n $lat = $props[\"lat\"];\n if ($datavar == \"et\" && $sid == \"GVNI4\") {\n continue;\n }\n if ($sid == \"DONI4\") {\n $lat -= 0.2;\n } elseif ($sid == \"AHTI4\") {\n $lat += 0.2;\n $lon -= 0.2;\n } elseif ($sid == \"AKCI4\") {\n $lat -= 0.2;\n $lon += 0.2;\n } elseif ($sid == \"AMFI4\") {\n continue;\n } elseif ($sid == \"BOOI4\") {\n $lon -= 0.2;\n } elseif ($sid == \"FRUI4\") {\n $lat -= 0.05;\n }\n\n // Red Dot... \n $pt = new pointObj();\n $pt->setXY($lon, $lat, 0);\n $pt->draw($map, $ponly, $img, 0, \"\");\n\n // Value UL\n $pt = new pointObj();\n $pt->setXY($lon, $lat, 0);\n $pt->draw($map, $snet, $img, 1, round($value, $rnd[$datavar]));\n\n // Climate\n if (substr($var, 0, 3) == \"gdd\" || $var == \"precip\") {\n $pt = new pointObj();\n $pt->setXY($lon, $lat, 0);\n $pt->draw($map, $snet, $img, 2, \"(\" . round($value - $props[\"climo_\" . $datavar], $rnd[$datavar]) . \")\");\n }\n\n // City Name\n $pt = new pointObj();\n $pt->setXY($lon, $lat, 0);\n $ar = explode(\"-\", $props['name']);\n $pt->draw($map, $snet, $img, 0, $ar[0]);\n}\n\niemmap_title(\n $map,\n $img,\n $year . \" \" . $varDef[$var],\n \"(\" . $sstr_txt . \" - \" . $estr_txt . \") [some stations moved for legibility]\"\n);\n$map->drawLabelCache($img);\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/apps/agclimate/gsplot.phtml", "content": " $today) {\n $emonth = date(\"m\", $today);\n $eday = date(\"d\", $today);\n}\n\n$varDef = array(\n \"gdd32\" => \"Growing Degree Days (base=32)\",\n \"gdd41\" => \"Growing Degree Days (base=41)\",\n \"gdd46\" => \"Growing Degree Days (base=46)\",\n \"gdd48\" => \"Growing Degree Days (base=48)\",\n \"gdd50\" => \"Growing Degree Days (base=50)\",\n \"gdd51\" => \"Growing Degree Days (base=51)\",\n \"gdd52\" => \"Growing Degree Days (base=52)\",\n \"et\" => \"Potential Evapotranspiration\",\n \"precip\" => \"Precipitation\",\n \"srad\" => \"Solar Radiation (langleys)\",\n \"sgdd50\" => \"Soil Growing Degree Days (base=50)\",\n \"sgdd52\" => \"Soil Growing Degree Days (base=52)\"\n);\nif (!array_key_exists($var, $varDef)) {\n die(\"variable undefined.\");\n}\n$gddbase = 50;\n$datavar = $var;\nif (substr($var, 0, 3) == \"gdd\") {\n $gddbase = intval(str_replace(\"gdd\", \"\", $var));\n $datavar = \"gdd\";\n}\nif (substr($var, 0, 4) == \"sgdd\") {\n $gddbase = intval(str_replace(\"sgdd\", \"\", $var));\n $datavar = \"sgdd\";\n}\n\n$wsuri = sprintf(\n \"/api/1/isusm/daily.geojson?sdate=%s-%02.0f-%02.0f&edate=%s-%02.0f-%02.0f&\" .\n \"gddbase=%s&gddceil=%s\",\n $year,\n $smonth,\n $sday,\n $year,\n $emonth,\n $eday,\n $gddbase,\n 86\n);\n\n$t = new MyView();\n$t->title = \"ISUAG Growing Season Data\";\n$t->headextra = <<\n\n\nEOM;\n\n$vselect = make_select(\"var\", $var, $varDef);\n\n$h3 = \"\";\nif ($datavar == \"gdd\" || $var == \"precip\") {\n $h3 = \"Departure from climatology is shown below the accumulated value.\";\n}\n$yselect = yearSelect(1986, $year, \"year\");\n$smselect = monthSelect($smonth, 'smonth');\n$sdselect = daySelect($sday, 'sday');\n$emselect = monthSelect($emonth, 'emonth');\n$edselect = daySelect($eday, 'eday');\n\n$t->content = <<Growing Season Maps\n\n

    This application will plot an accumulated variable for a time period of your \nselection. Data is based on the automated sensors from the ISU AG Climate\nnetwork. A similar application \nexists based on the COOP network data, which\nis of higher quality for temperature and precipitation.\n\n

    \n \n\n\n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n
    Plot ParameterYearMonthDay
    {$vselect}{$yselect}{$smselect}{$sdselect}
    {$emselect}{$edselect}
    \n
    \n\n
    \n
    \n\n

    Interactive Map

    \n{$h3}\n

    Click on any station marker to view detailed information. Use mouse wheel to zoom, drag to pan.

    \n
    \n\n

    Dynamic Historical Data:

    \nDaily Data Plots\n
    Growing Season Plots\n\n\n

    *Note: Precipitation recorded from this network is not reliable.\n You should use precipitation obs from the COOP network.\n\n

    \n\n
    \n
    \n

    Station Data Table

    \n

    This table contains the raw data for all weather stations shown on the map above.

    \n

    \n\nDownloads the station data as a CSV file for use in spreadsheet applications\n
    \n

    Loading data...
    \n\n

    You should be able to 'copy & paste' this raw data listing into a simple\ntext editor and save the data file on your machine. Most GIS systems can \nthen import this dataset as a layer. You may have to omit the commented lines\n(#) if your GIS has trouble importing the data.\n

    \n
    \nEOM;\n$t->jsextra = <<\n\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/agclimate/month.php", "content": " \"Rainfall (inches)\",\n \"dailyet\" => \"Potential Evapotrans. (in)\"\n);\nif (!array_key_exists($dvar, $title)) die();\n\n$stname = iem_pg_prepare($dbconn, \"select station, sum({$dvar}_qc) as s,\n min(valid) as min_valid, max(valid) as max_valid from sm_daily \n WHERE extract(month from valid) = $1 and\n extract(year from valid) = $2 GROUP by station\");\n\n$nt = new NetworkTable(\"ISUSM\");\n$ISUAGcities = $nt->table;\n\n$year = get_int404(\"year\", date(\"Y\", time() - 86400 - (7 * 3600)));\n$month = get_int404(\"month\", date(\"m\", time() - 86400 - (7 * 3600)));\n$day = get_int404(\"day\", date(\"d\", time() - 86400 - (7 * 3600)));\n\n$sts = mktime(0, 0, 0, $month, 1, $year);\n\n$myStations = $ISUAGcities;\n$height = 768;\n$width = 1024;\n\n$map = new mapObj(\"../../../../data/gis/base26915.map\");\n$map->setProjection(\"init=epsg:26915\");\n$map->setsize($width, $height);\n$map->setextent(175000, 4440000, 775000, 4890000);\n\n$counties = $map->getLayerByName(\"counties\");\n$counties->__set(\"status\", MS_ON);\n\n$snet = $map->getLayerByName(\"station_plot\");\n$snet->__set(\"status\", MS_ON);\n\n$iards = $map->getLayerByName(\"iards\");\n$iards->__set(\"status\", 1);\n\n$bar640t = $map->getLayerByName(\"bar640t\");\n$bar640t->__set(\"status\", MS_ON);\n\n$states = $map->getLayerByName(\"states\");\n$states->__set(\"status\", MS_ON);\n\n$ponly = $map->getLayerByName(\"pointonly\");\n$ponly->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n$counties->draw($map, $img);\n$states->draw($map, $img);\n$iards->draw($map, $img);\n$bar640t->draw($map, $img);\n\n$rs = pg_execute($dbconn, $stname, array($month, $year));\n$minvalid = null;\n$maxvalid = null;\nwhile ($row = pg_fetch_assoc($rs)) {\n $key = $row[\"station\"];\n if ($key == \"AMFI4\" or $key == \"AHTI4\") continue;\n $minv = strtotime($row[\"min_valid\"]);\n $maxv = strtotime($row[\"max_valid\"]);\n\n if (is_null($minvalid) || $minv < $minvalid) {\n $minvalid = $minv;\n }\n if (is_null($maxvalid) || $maxv > $maxvalid) {\n $maxvalid = $maxv;\n }\n if ($dvar == \"rain_in_tot\") {\n $val = round($row[\"s\"], 2);\n } else {\n $val = round($row[\"s\"] / 25.4, 2);\n }\n\n // Red Dot... \n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n $pt->draw($map, $ponly, $img, 0, \"\");\n\n // Value UL\n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n $pt->draw($map, $snet, $img, 0, $val);\n\n // City Name\n $pt = new pointObj();\n $pt->setXY($ISUAGcities[$key]['lon'], $ISUAGcities[$key]['lat'], 0);\n if ($key == \"A131909\" || $key == \"A130209\") {\n $pt->draw($map, $snet, $img, 1, $ISUAGcities[$key]['plot_name']);\n } else {\n $pt->draw($map, $snet, $img, 1, $ISUAGcities[$key]['plot_name']);\n }\n}\nif (!is_null($minvalid)) {\n $minvalid = date(\"Y-m-d\", $minvalid);\n $maxvalid = date(\"Y-m-d\", $maxvalid);\n iemmap_title($map, $img, $title[$dvar] . \" [ \" .\n $minvalid . \" thru \" . $maxvalid . \" ]\");\n}\n$map->drawLabelCache($img);\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/apps/agclimate/plot.php", "content": " 9){\n xssafe(\"\");\n}\n\n$nt = new NetworkTable($network);\n$cities = $nt->table;\n\n$sts = new DateTime(\"{$year}-{$smonth}-{$sday}\");\n$ets = new DateTime(\"{$year}-{$emonth}-{$eday}\");\n\n\nfunction mktitlelocal($map, $imgObj, $titlet)\n{\n\n $layer = $map->getLayerByName(\"credits26915\");\n\n // point feature with text for location\n $point = new pointobj();\n $point->setXY(0, 10);\n $point->draw($map, $layer, $imgObj, 0, $titlet);\n}\n\nfunction plotNoData($map, $img)\n{\n $layer = $map->getLayerByName(\"credits\");\n\n $point = new pointobj();\n $point->setXY(100, 200);\n $point->draw(\n $map,\n $layer,\n $img,\n 1,\n \" No data found for this date! \"\n );\n}\n\n$varDef = array(\n \"gdd32\" => \"Growing Degree Days (base=32)\",\n \"gdd41\" => \"Growing Degree Days (base=41)\",\n \"gdd46\" => \"Growing Degree Days (base=46)\",\n \"gdd48\" => \"Growing Degree Days (base=48)\",\n \"gdd50\" => \"Growing Degree Days (base=50)\",\n \"gdd51\" => \"Growing Degree Days (base=51)\",\n \"gdd52\" => \"Growing Degree Days (base=52)\",\n \"cdd65\" => \"Cooling Degree Days (base=65)\",\n \"hdd65\" => \"Heating Degree Days (base=65)\",\n \"et\" => \"Potential Evapotranspiration\",\n \"prec\" => \"Precipitation\",\n \"sgdd50\" => \"Soil Growing Degree Days (base=50)\",\n \"sdd86\" => \"Stress Degree Days (base=86)\",\n \"mintemp\" => \"Minimum Temperature [F]\",\n \"maxtemp\" => \"Maximum Temperature [F]\",\n);\n\n$rnd = array(\n \"gdd32\" => 0,\n \"gdd41\" => 0,\n \"gdd46\" => 0,\n \"gdd48\" => 0,\n \"gdd50\" => 0,\n \"gdd51\" => 0,\n \"gdd52\" => 0,\n \"et\" => 2,\n \"prec\" => 2,\n \"sgdd50\" => 0,\n \"sdd86\" => 0,\n \"cdd65\" => 0,\n \"hdd65\" => 0,\n \"mintemp\" => 0,\n \"maxtemp\" => 0\n);\n$myStations = $cities;\n$height = 480;\n$width = 640;\n\n$map = new MapObj(\"../../../../data/gis/base4326.map\");\n$map->imagecolor->setRGB(255, 255, 255);\n$map->setSize(1024, 768);\n\n$state = substr($network, 0, 2);\n$dbconn = iemdb(\"postgis\");\n$stname = iem_pg_prepare($dbconn,\n \"SELECT ST_xmin(g), ST_xmax(g), ST_ymin(g), ST_ymax(g) from (\n select ST_Extent(the_geom) as g from states\n where state_abbr = $1\n ) as foo\");\n$rs = pg_execute($dbconn, $stname, Array($state));\n$row = pg_fetch_assoc($rs);\n$buf = 0.2; // 35km\n$xsz = $row[\"st_xmax\"] - $row[\"st_xmin\"];\n$ysz = $row[\"st_ymax\"] - $row[\"st_ymin\"];\n$minx = $row[\"st_xmin\"] - $buf;\n$maxx = $row[\"st_xmax\"] + $buf;\n$miny = $row[\"st_ymin\"] - $buf;\n$maxy = $row[\"st_ymax\"] + $buf;\n$map->setextent($minx, $miny, $maxx, $maxy);\n\n$counties = $map->getLayerByName(\"counties\");\n$counties->__set(\"status\", MS_ON);\n\n$states = $map->getLayerByName(\"states\");\n$states->__set(\"status\", MS_ON);\n\n$bar640t = $map->getLayerByName(\"bar640t\");\n$bar640t->__set(\"status\", MS_ON);\n\n$snet = $map->getLayerByName(\"snet\");\n$snet->__set(\"status\", MS_ON);\n\n$ponly = $map->getLayerByName(\"pointonly\");\n$ponly->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n$counties->draw($map, $img);\n$states->draw($map, $img);\n$bar640t->draw($map, $img);\n\n// Allow 15 labels in each direction?\n$dy = ($map->extent->maxy - $map->extent->miny) / 25;\n$dx = ($map->extent->maxx - $map->extent->minx) / 25;\n\n$stname = iem_pg_prepare($coopdb, <<= $1 and day <= $2\n and substr(station, 3, 4) != '0000' and substr(station, 3, 1) != 'C'\n GROUP by station\n ORDER by station ASC\nEOM\n);\n$rs = pg_execute($coopdb, $stname, array(\n $sts->format(\"Y-m-d\"),\n $ets->format(\"Y-m-d\")\n));\n\n$used = Array();\n\nfor ($i = 0; $row = pg_fetch_assoc($rs); $i++) {\n\n $ukey = $row[\"station\"];\n if (!isset($cities[$ukey])) continue;\n $key = sprintf(\n \"%.0f_%.0f\",\n ($cities[$ukey][\"lon\"] - $map->extent->minx) / $dx,\n ($cities[$ukey][\"lat\"] - $map->extent->miny) / $dy,\n );\n if (in_array($key, $used)) continue;\n $used[] = $key;\n // Red Dot...\n $pt = new PointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n $pt->draw($map, $ponly, $img, 2, \"\");\n\n // City Name\n $pt = new PointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n $pt->draw($map, $snet, $img, 3, substr($ukey, 2, 4));\n\n // Value UL\n $pt = new PointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n $pt->draw(\n $map,\n $snet,\n $img,\n 0,\n round($row[\"s_\" . $var], $rnd[$var])\n );\n}\nif ($i == 0)\n plotNoData($map, $img);\n\n$title = sprintf(\n \"%s (%s through %s)\",\n $varDef[$var],\n $sts->format(\"Y-m-d\"),\n $ets->format(\"Y-m-d\")\n);\n\nmktitlelocal($map, $img, $title);\n$map->drawLabelCache($img);\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/apps/coop/gsplot.phtml", "content": " 9){\n xssafe(\"\");\n}\n\n$nt = new NetworkTable($network);\n$cities = $nt->table;\n\n$sts = new DateTime(\"{$year}-{$smonth}-{$sday}\");\n$ets = new DateTime(\"{$year}-{$emonth}-{$eday}\");\n\n$imgurl = sprintf(\n \"gsplot.php?network=%s&smonth=%s&sday=%s&var=%s&emonth=%s&eday=%s&year=%s\",\n $network,\n $smonth,\n $sday,\n $var,\n $emonth,\n $eday,\n $year\n);\n\n$t->title = \"NWS COOP Growing Season Data\";\n\n$tr = sprintf(\n \"# IEM Estimated COOP Accumulations (start: %s to inclusive date: %s)\\n\",\n $sts->format(\"Y-m-d\"),\n $ets->format(\"Y-m-d\")\n);\n$tr .= \"# Download From: {$EXTERNAL_BASEURL}/GIS/apps/coop/gsplot.phtml\n# Download Date: \" . date(\"d M Y\") . \"\n# CLIM_ values are based on climatology 1951-today\n# Data Contact: Daryl Herzmann akrherz@iastate.edu 515.294.5978\n#-----------------------snip------------------\\n\";\n\n$state = substr($network, 0, 2);\n\n/* Query the obs */\n$stname = iem_pg_prepare($coopdb, <<= $1 and sday <= $2 GROUP by station, year\n), climo as (\n SELECT station,\n sum(precip) as c_rainfall,\n sum(gdd32) as c_gdd32,\n sum(gdd41) as c_gdd41,\n sum(gdd46) as c_gdd46,\n sum(gdd48) as c_gdd48,\n sum(gdd50) as c_gdd50,\n sum(gdd51) as c_gdd51,\n sum(gdd52) as c_gdd52,\n sum(sdd86) as c_sdd86,\n sum(cdd65) as c_cdd65,\n sum(hdd65) as c_hdd65\n from climate WHERE\n station in (select station from data) and\n valid >= $4 and valid <= $5 GROUP by station\n)\nSELECT d.*, c_rainfall, c_gdd32, c_gdd41, c_gdd46, c_gdd48, c_gdd50,\nc_gdd51, c_gdd52, c_sdd86, c_cdd65, c_hdd65\nfrom data d JOIN climo c on (d.station = c.station)\nEOM\n);\n\n$rs = pg_execute($coopdb, $stname, array(\n $sts->format(\"md\"),\n $ets->format(\"md\"),\n $year,\n sprintf(\"2000-%s\", $sts->format(\"m-d\")),\n sprintf(\"2000-%s\", $ets->format(\"m-d\")),\n));\n\n\n$tr .= sprintf(\n \"%6s,%21s,%10s,%10s,%10s,%10s,%10s,%10s,\" .\n \"%10s,%10s,%10s,%10s,%10s,%10s,%10s,%10s,%10s\\n\",\n 'ID',\n 'StationName',\n 'Latitude',\n 'Longitude',\n 'GDD50',\n 'GDD48',\n 'SDD86',\n 'PRECIP',\n 'CLIM_GDD50',\n 'CLIM_GDD48',\n 'CLIM_PRECIP',\n 'MAX_TEMP',\n 'MIN_TEMP',\n 'CDD65',\n 'HDD65',\n 'CLIM_CDD65',\n 'CLIM_HDD65'\n);\nwhile ($row = pg_fetch_assoc($rs)) {\n\n $ukey = $row[\"station\"];\n if (!isset($cities[$ukey])) continue;\n $tr .= sprintf(\n \"%6s,%-21s,%10.4f,%10.4f,%10.0f,%10.0f,%10.0f,\" .\n \"%10.2f,%10.0f,%10.0f,%10.2f,%10.0f,%10.0f,%10.2f,%10.2f\" .\n \",%10.2f,%10.2f\\n\",\n $ukey,\n $cities[$ukey]['name'],\n $cities[$ukey]['lat'],\n $cities[$ukey]['lon'],\n $row[\"s_gdd50\"],\n $row[\"s_gdd48\"],\n $row[\"s_sdd86\"],\n $row[\"s_rainfall\"],\n $row[\"c_gdd50\"],\n $row[\"c_gdd48\"],\n $row[\"c_rainfall\"],\n $row[\"s_maxtemp\"],\n $row[\"s_mintemp\"],\n $row[\"s_cdd65\"],\n $row[\"s_hdd65\"],\n $row[\"c_cdd65\"],\n $row[\"s_hdd65\"]\n );\n}\n\n$netselect = selectNetworkType(\"CLIMATE\", $network);\n\n$ar = array(\n \"gdd32\" => \"Growing Degree Days (base=32)\",\n \"gdd41\" => \"Growing Degree Days (base=41)\",\n \"gdd46\" => \"Growing Degree Days (base=46)\",\n \"gdd48\" => \"Growing Degree Days (base=48)\",\n \"gdd50\" => \"Growing Degree Days (base=50)\",\n \"gdd51\" => \"Growing Degree Days (base=51)\",\n \"gdd52\" => \"Growing Degree Days (base=52)\",\n \"cdd65\" => \"Cooling Degree Days (base=65)\",\n \"hdd65\" => \"Heating Degree Days (base=65)\",\n \"prec\" => \"Precipitation\",\n \"sdd86\" => \"Stress Degree Days (base=86)\",\n \"mintemp\" => \"Minimum Temperature\",\n \"maxtemp\" => \"Maximum Temperature\",\n);\n$vselect = make_select(\"var\", $var, $ar);\n$yselect = yearselect(1893, $year);\n$m1select = monthSelect($smonth, 'smonth');\n$d1select = daySelect($sday, 'sday');\n$m2select = monthSelect($emonth, 'emonth');\n$d2select = daySelect($eday, 'eday');\n\n$t->content = <<\n
      \n
    1. NWS Cooperative Network
      2. \n
    2. Custom Date Duration Charts
      3. \n
    \n\n\n

    With this application, you can total a parameter of your\nchoice over a duration of your choice. The resulting data is presented \ngraphically as well as textually for use in a GIS. \nThe end date is inclusive to the data presented. \nThe raw daily data used for this application can be downloaded\nfrom here.\n\n

    \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    Available State:Select Parameter:YearMonthDay
    \n {$netselect}\n {$vselect}{$yselect}{$m1select}{$d1select}
    to inclusive date:{$m2select}{$d2select}
    \n
    \n\n

    *Note: Only a sub-sample of stations are plotted on the map due to \nspace restrictions. The small four digit label is the station identifier used\nin the data listing below (without the 2 character state identifier included).\n
    \n \n

    \n\n

    Data Listing

    \n
    {$tr}
    \n\n

    You should be able to 'copy & paste' this raw data listing into a simple\ntext editor and save the data file on your machine. Most GIS systems can \nthen import this dataset as a layer. You may have to omit the commented lines\n(#) if your GIS has trouble importing the data.\nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/GIS/apps/coop/index.php", "content": "title = \"NWS COOP Plotting\";\n\n$coopdb = iemdb(\"coop\");\n$nt = new NetworkTable(\"IACLIMATE\");\n$cities = $nt->table;\n\n$plot = isset($_GET[\"plot\"]) ? xssafe($_GET[\"plot\"]) : \"high\";\n$area = isset($_GET[\"area\"]) ? xssafe($_GET[\"area\"]) : \"all\";\n$month = get_int404(\"month\", date(\"m\"));\n$day = get_int404(\"day\", date(\"d\"));\n\n$height = 350;\n$width = 350;\n\n$map = new mapObj(\"../../../../data/gis/base4326.map\");\n$map->setProjection(\"init=epsg:26915\");\n\n$lx = 200000;\n$ux = 710000;\n$ly = 4400000;\n$uy = 4900000;\n$dx = $ux - $lx;\n$dy = $uy - $ly;\n\n$ex = array(\n \"all\" => array($lx, $ly, $ux, $uy),\n \"ne\" => array($lx + ($dx / 2), $ly + ($dy / 2), $ux, $uy),\n \"se\" => array($lx + ($dx / 2), $ly, $ux, $uy - ($dy / 2)),\n \"sw\" => array($lx, $ly, $ux - ($dx / 2), $uy - ($dy / 2)),\n \"nw\" => array($lx, $ly + ($dy / 2), $ux - ($dx / 2), $uy)\n);\nif (!array_key_exists($area, $ex)) {\n xssafe(\"\");\n}\n\n$map->setextent($ex[$area][0], $ex[$area][1], $ex[$area][2], $ex[$area][3]);\n\n$namer = $map->getLayerByName(\"namerica\");\n$namer->__set(\"status\", MS_ON);\n\n$counties = $map->getLayerByName(\"uscounties\");\n$counties->__set(\"status\", MS_ON);\n\n$stlayer = $map->getLayerByName(\"states\");\n$stlayer->__set(\"status\", 1);\n\n$dot = $map->getLayerByName(\"pointonly\");\n$dot->__set(\"status\", MS_ON);\n\n$datal = new layerObj($map);\n$datal->__set(\"name\", \"q\");\n$datal->__set(\"status\", MS_ON);\n$datal->__set(\"type\", MS_LAYER_POINT);\n$datal->setProjection(\"init=epsg:4326\");\n\n$datalc0 = new classObj($datal);\n$datalc0->addLabel(new labelObj());\n$datalc0->getLabel(0)->color->setrgb(255, 255, 0);\n$datalc0->getLabel(0)->__set(\"font\", \"liberation\");\n$datalc0->getLabel(0)->__set(\"size\", 12);\n$datalc0->getLabel(0)->__set(\"force\", MS_TRUE);\n$datalc0->getLabel(0)->__set(\"partials\", MS_FALSE);\n$datalc0->getLabel(0)->__set(\"position\", MS_UR);\n$datalc0->getLabel(0)->__set(\"angle\", 0);\n\n$img = $map->prepareImage();\n\n$tpos = array(\n \"all\" => array(-95.4, 40.2),\n \"ne\" => array(-92.9, 43.7),\n \"se\" => array(-92.9, 40.3),\n \"sw\" => array(-96.4, 40.4),\n \"nw\" => array(-96.7, 43.65)\n);\n\n$ts = mktime(0, 0, 0, $month, $day, 2000);\n$plotDate = date('M d', $ts);\n\n$var = array(\n \"max_precip\" => \"Record Daily Precip [in]\",\n \"precip\" => \"Average Precipitation [in]\",\n \"low\" => \"Average Low Temp [F]\",\n \"max_low\" => \"Record Max Low Temp [F]\",\n \"max_high\" => \"Record Max High Temp [F]\",\n \"min_low\" => \"Record Min Low Temp [F]\",\n \"min_high\" => \"Record Min High Temp [F]\",\n \"high\" => \"Average High Temp [F]\"\n);\nif (!array_key_exists($plot, $var)) {\n xssafe(\"\");\n}\n\n$dbdate = new DateTime(\"2000-{$month}-{$day}\");\n\nif (strcmp($area, 'all') != 0) {\n\n $dbarray = array(\n \"high\" => \"round(high::numeric, 0)::int\",\n \"low\" => \"round(low::numeric, 0)::int\",\n \"max_low\" => \"round(max_low::numeric, 0)::int ||'W'|| max_low_yr \",\n \"max_high\" => \"round(max_high::numeric, 0)::int ||'W'|| max_high_yr \",\n \"min_high\" => \"round(min_high::numeric, 0)::int ||'W'|| min_high_yr \",\n \"min_low\" => \"round(min_low::numeric, 0)::int ||'W'|| min_low_yr \",\n \"max_precip\" => \"to_char(max_precip, '99.99') ||'W'|| max_precip_yr \",\n \"precip\" => \"round(precip::numeric, 2)\"\n );\n} else {\n $dbarray = array(\n \"high\" => \"round(high::numeric, 0)::int\",\n \"low\" => \"round(low::numeric, 0)::int\",\n \"max_low\" => \"round(max_low::numeric, 0)::int\",\n \"max_high\" => \"round(max_high::numeric, 0)::int\",\n \"min_high\" => \"round(min_high::numeric, 0)::int\",\n \"min_low\" => \"round(min_low::numeric, 0)::int\",\n \"max_precip\" => \"to_char(max_precip, '99.99') \",\n \"precip\" => \"round(precip::numeric, 2)\"\n );\n}\n\n$stname = iem_pg_prepare($coopdb, \"SELECT station, \" . $dbarray[$plot] . \" as d\n from climate WHERE valid = $1\n and substr(station,1,2) = 'IA' and substr(station, 3, 1) not in ('T', 'C')\n and substr(station, 3, 4) != '0000' \");\n\n$rs = pg_execute($coopdb, $stname, array($dbdate->format('Y-m-d')));\nif ($rs !== FALSE) {\n while ($row = pg_fetch_assoc($rs)) {\n $station = $row[\"station\"];\n if (!array_key_exists($station, $cities)) continue;\n $pt = new pointObj();\n $pt->setXY($cities[$station]['lon'], $cities[$station]['lat'], 0);\n $pt->draw($map, $datal, $img, 0, $row[\"d\"]);\n }\n}\n\n$namer->draw($map, $img);\n$counties->draw($map, $img);\n$stlayer->draw($map, $img);\n$datal->draw($map, $img);\niemmap_title($map, $img, $plotDate . \" \" . $var[$plot]);\n\n$map->drawLabelCache($img);\n\n$url = saveWebImage($img);\n\n$ar = array(\n \"all\" => \"Iowa\",\n \"ne\" => \"NE Iowa\",\n \"se\" => \"SE Iowa\",\n \"sw\" => \"SW Iowa\",\n \"nw\" => \"NW Iowa\"\n);\n$aselect = make_select(\"area\", $area, $ar);\n\n$ar = array(\n \"high\" => \"Average High Temperature\",\n \"low\" => \"Average Low Temperature\",\n \"precip\" => \"Average Precip\",\n \"max_high\" => \"Record High Temperature\",\n \"min_low\" => \"Record Low Temperature\",\n \"max_precip\" => \"Record Precip\",\n \"min_high\" => \"Record Minimum High Temp\",\n \"max_low\" => \"Record Maximum Low Temp\"\n);\n$pselect = make_select(\"plot\", $plot, $ar);\n\n$mselect = monthSelect($month, \"month\");\n$dselect = daySelect($day);\n\n$t->content = <<COOP Climate Data\n\n

    \n
    Try Updated App!
    \n The COOP Extremes App has greatly improved\n and hopefully will someday replace this app.\n
    \n\n Using the COOP data archive, daily averages and extremes\n were calculated. These numbers are not official, but we believe them\n to be accurate. Please make your form selections on the left hand side and\n then click the 'Generate Plot' button.\n\n
    \n
    \n\n\n
    You can right-click on the image to save it.\n
  • Only one year with the record value is shown, there may have been \n more.
    • \n\n
    \n \n
    \n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n \n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n
    Display Area:\n
    \n {$aselect}\n
    If you select a sub-region, the year of a record event will appear \n as well.

    \n\n
    Select Parameter:\n
    \n {$pselect}

    \n\n
    Select Date:\n
    \n\n Month:\n
    {$mselect}\n\n    		\n\n Day:\n
    {$dselect}\n\n
    \n \n

    \n
    Download Options:\n
    \n \n shp, dbf, shx

    \n
    Map Information:\n
    \n The black and red dots signify the climate record for the station. Sites in \n black date back till 1893 and sites in red to 1951.\n\n
    \n\n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/coop/plot.phtml", "content": "format(\"Y-m-d\");\n\n$t = new MyView();\n$t->title = \"NWS COOP Daily Plotter\";\n\n$ar = array(\n \"0\" => \"All Available\",\n \"1\" => \"Morning Obs (5-11 AM)\",\n);\n$timingsel = make_select(\"timing\", $timing, $ar);\n\nif ($source == \"qc\") $nt = new NetworkTable(\"{$state}CLIMATE\");\nelse $nt = new NetworkTable(\"{$state}_COOP\");\n$cities = $nt->table;\n\nfunction plotNoData($map, $img)\n{\n $layer = $map->getLayerByName(\"credits\");\n\n $point = new pointObj();\n $point->setXY(100, 200);\n $point->draw(\n $map,\n $layer,\n $img,\n 1,\n \" No data found for this date! \"\n );\n}\n\n$vardef = array(\n \"high\" => \"High Temperature\",\n \"low\" => \"Low Temperature\",\n \"tob\" => \"Temperature At Observation\",\n \"precip\" => \"Precipitation\",\n \"snow\" => \"Snow [1]\",\n \"snowd\" => \"Snow Depth [2]\",\n \"ratio\" => \"Snow to Liquid Ratio\",\n);\nif (!array_key_exists($var, $vardef)) {\n $var = \"precip\";\n}\n$pcols = Array(\"precip\", \"snow\", \"snowd\", \"ratio\");\n$timecol = in_array($var, $pcols) ? \"precip_hour\" : \"temp_hour\";\n\n$rnd = array(\n \"et\" => 2,\n \"prec\" => 2,\n \"snow\" => 0,\n \"ratio\" => 1\n);\n\n$myStations = $cities;\n\n$map = new mapObj(\"../../../../data/gis/base4326.map\");\n$map->imagecolor->setRGB(255, 255, 255);\n$map->selectOutputFormat(\"PNG24\");\n$map->setSize($width, $height);\n$dbconn = iemdb(\"postgis\");\n$stname = iem_pg_prepare(\n $dbconn,\n \"SELECT ST_xmin(the_geom), ST_xmax(the_geom), ST_ymin(the_geom), ST_ymax(the_geom) \".\n \"from states where state_abbr = $1\");\n$rs = pg_execute($dbconn, $stname, Array($state));\n$row = pg_fetch_assoc($rs, 0);\n$buf = 0.5;\n$map->setextent(\n $row[\"st_xmin\"] - $buf,\n $row[\"st_ymin\"] - $buf,\n $row[\"st_xmax\"] + $buf,\n $row[\"st_ymax\"] + $buf\n);\n\n$states = $map->getLayerByName(\"states\");\n$states->status = MS_ON;\n$states_c0 = $states->getClass(0);\n$states_c0_s0 = $states_c0->getStyle(0);\n$states_c0_s0->width = 1.5;\n$states_c0_s0->color->setRGB(210, 170, 130);\n\n$cwas = $map->getLayerByName(\"cwas\");\n$cwas->status = MS_ON;\n$cwas_c0 = $cwas->getClass(0);\n$cwas_c0_s0 = $cwas_c0->getStyle(0);\n$cwas_c0_s0->outlinecolor->setRGB(255, 0, 0);\n\n$counties = $map->getLayerByName(\"uscounties\");\n$counties->__set(\"status\", MS_ON);\n$counties_c0 = $counties->getClass(0);\n$counties_c0_s0 = $counties_c0->getStyle(0);\n$counties_c0_s0->color->setRGB(180, 180, 180);\n\n$snet = $map->getLayerByName(\"datapoint\");\n$snet->__set(\"status\", MS_ON);\n\n$ponly = $map->getLayerByName(\"pointonly\");\n$ponly->__set(\"status\", MS_ON);\n\n$cityname = $map->getLayerByName(\"cityname\");\n$cityname->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n$counties->draw($map, $img);\n$states->draw($map, $img);\n$cwas->draw($map, $img);\n\n$dbvar = ($var == \"ratio\") ? \"snow\" : $var;\n$timingsql = \"\";\nif ($source == \"qc\") {\n $c = iemdb(\"coop\");\n if ($timing == \"1\") {\n $timingsql = \" and temp_hour between 4 and 12 \";\n }\n $dbargs = Array($ts->format(\"Y-m-d\"));\n $sql = <<format(\"Y-m-d\"), \"{$state}_COOP\");\n $sql = <<format('Y')} s JOIN stations t on (t.iemid = s.iemid)\n WHERE day = $1 and network = $2 $timingsql ORDER by $dbvar DESC\nEOM;\n}\n\n$stname = iem_pg_prepare($c, $sql);\n$rs = pg_execute($c, $stname, $dbargs);\n$vals = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $stid = $row['station'];\n if ($var == \"ratio\") {\n if ($row[\"snow\"] > 0 && $row[\"precip\"] > 0) {\n $vals[$stid] = Array(\n \"val\" => round($row[\"snow\"] / $row[\"precip\"], 1),\n \"hour\" => $row[\"hour\"],\n );\n } else {\n $vals[$stid] = Array(\"val\" => 0, \"hour\" => $row[\"hour\"]);\n }\n } else {\n if (is_null($row[$var])) continue;\n $vals[$stid] = Array(\n \"val\" => (float)$row[$var],\n \"hour\" => $row[\"hour\"],\n );\n }\n}\n/* ------------------------------------------------------- */\n\n\n$tr = \"# \" . $ndate . \" \" . $vardef[$var] . \"\n# Download From: {$EXTERNAL_BASEURL}/GIS/apps/coop/plot.phtml\n# Download Date: \" . date(\"d M Y\") . \"\n# Data Contact: Daryl Herzmann akrherz@iastate.edu 515.294.5978\n#-----------------------snip------------------\\n\";\n$tr .= sprintf(\n \"%-6s, %-20s, %-20s, %-10s, %10s, %10s, %4s, %10s\\n\",\n 'ID',\n 'StationName',\n 'County',\n 'Date',\n 'Latitude',\n 'Longitude',\n 'Hour',\n $var\n);\nforeach ($vals as $key => $value) {\n $ukey = strtoupper($key);\n if (!isset($cities[$ukey])) continue;\n\n $tr .= sprintf(\n \"%-6s, %-20s, %-20s, %10s, %10.4f, %10.4f, %4s, %10s\\n\",\n $key,\n $cities[$ukey]['name'],\n $cities[$ukey]['county'],\n $ndate,\n $cities[$ukey]['lat'],\n $cities[$ukey]['lon'],\n $value[\"hour\"],\n $value[\"val\"],\n );\n\n if ($showlabels) {\n $pt = new pointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n $pt->draw($map, $ponly, $img, 0, \"\");\n\n $pt = new pointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n $pt->draw($map, $cityname, $img, 0, substr($key, $cutstring1, $cutstring2));\n }\n\n // Value UL\n $pt = new pointObj();\n $pt->setXY($cities[$ukey]['lon'], $cities[$ukey]['lat'], 0);\n if ($value[\"val\"] == 0.0001) $value[\"val\"] = \"T\";\n $pt->draw($map, $snet, $img, 0, $value[\"val\"]);\n}\n\nif (pg_num_rows($rs) == 0)\n plotNoData($map, $img);\n\niemmap_title($map, $img, $ndate . \" \" . $vardef[$var]);\n$map->drawLabelCache($img);\n\n$url = saveWebImage($img);\n\n$ar = array(\n \"qc\" => \"QC'd (1893-)\",\n \"prelim\" => \"Preliminary (2004+)\"\n);\n$sourceselect = make_select(\"source\", $source, $ar);\n\n$varselect = make_select(\"var\", $var, $vardef);\n\n$yselect = yearselect(1893, $year);\n$mselect = monthSelect($month, 'month');\n$dselect = daySelect($day, 'day');\n\n$ar = array(\n \"640x480\" => \"640x480\",\n \"1024x768\" => \"1024x768\",\n \"1280x1024\" => \"1280x1024\"\n);\n$sizeselect = make_select(\"size\", $size, $ar);\n\n$showlabelson = ($showlabels) ? \" CHECKED=\\\"CHECKED\\\" \" : \"\";\n\n$sselect = stateSelect($state);\n$yest = clone $ts;\n$yest->sub(new DateInterval(\"P1D\"));\n$minusone = sprintf(\n \"plot.phtml?source=%s&var=%s&year=%s&\" .\n \"month=%s&day=%s&size=%s&labels=%s&timing=%s&state=%s\",\n $source,\n $var,\n $yest->format(\"Y\"),\n $yest->format(\"m\"),\n $yest->format(\"d\"),\n $size,\n $showlabels ? \"on\" : \"off\",\n $timing,\n $state,\n);\n$tomorrow = clone $ts;\n$tomorrow->add(new DateInterval(\"P1D\"));\n$plusone = sprintf(\n \"plot.phtml?source=%s&var=%s&year=%s&\" .\n \"month=%s&day=%s&size=%s&labels=%s&timing=%s&state=%s\",\n $source,\n $var,\n $tomorrow->format(\"Y\"),\n $tomorrow->format(\"m\"),\n $tomorrow->format(\"d\"),\n $size,\n $showlabels ? \"on\" : \"off\",\n $timing,\n $state,\n);\n\n$t->content = <<\n A new interactive map application is available and\n will replace this application someday, unless feedback says otherwise!\n\n\n

    With this application, you can plot COOP observations for a date of your\nchoice.\n\n

    \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    Select State:Select Datasource:Select Parameter:TimingYearMonthDayImage Size
    {$sselect}{$sourceselect}{$varselect}\n
    Note: Temperature at Observation is only available for the\n \"Preliminary\" data source.\n     		{$timingsel}{$yselect}{$mselect}{$dselect}{$sizeselect}\n 1 Day\n 1 Day\n
    \n\n
    \n\n

    Show point labels\n\n

    \n
      \n
    • Snowfall data is not complete. Please be careful using the data.
      • \n
    • Snowfall depth data only goes back to 1991 for Quality Controled source.
      • \n
    • The preliminary data is for the date the observation was reported and not\nnecessarily for the local date. The reports are around 7 AM, so the high\ntemperature (for example) was most likely for the previous date.
      • \n
    \n\n

    \n

    Data Listing

    \n
    {$tr}
    \n\n

    You should be able to 'copy & paste' this raw data listing into a simple\ntext editor and save the data file on your machine. Most GIS systems can\nthen import this dataset as a layer. You may have to omit the commented lines\n(#) if your GIS has trouble importing the data.\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/coop/request.php", "content": "format('Y-m-d');\n$filePre = $ts->format('md') . \"_coop\";\n\n$pgcon = iemdb(\"coop\");\n$sql = <<setXY($row[\"lon\"], $row[\"lat\"], 0);\n $shpFile->addPoint($pt);\n\n dbase_add_record($dbfFile, array(\n $row[\"station\"],\n $row[\"years\"],\n $row[\"cvalid\"],\n $row[\"high\"],\n $row[\"low\"],\n $row[\"precip\"],\n $row[\"max_precip\"],\n $row[\"max_high\"],\n $row[\"max_low\"],\n $row[\"min_high\"],\n $row[\"min_low\"]\n ));\n} // End of for\nunset($shpFile);\ndbase_close($dbfFile);\n\n// Generate zip file\ncopy(\"/opt/iem/data/gis/meta/4326.prj\", $filePre . \".prj\");\npopen(\"zip {$filePre}.zip {$filePre}.shp {$filePre}.shx {$filePre}.dbf {$filePre}.prj\", 'r');\n\nheader(\"Content-type: application/octet-stream\");\nheader(\"Content-Disposition: attachment; filename={$filePre}.zip\");\nreadfile(\"{$filePre}.zip\");\nunlink(\"{$filePre}.zip\");\nunlink(\"{$filePre}.shp\");\nunlink(\"{$filePre}.prj\");\nunlink(\"{$filePre}.dbf\");\nunlink(\"{$filePre}.shx\");\n" }, { "path": "htdocs/GIS/apps/iem/freeze.js", "content": "// filepath: /home/akrherz/projects/iem/htdocs/GIS/apps/iem/freeze.js\ndocument.addEventListener('DOMContentLoaded', () => {\n // Initialize button states and event listeners\n initializeMapControls();\n initializePresetViews();\n\n function resetButtons() {\n // Reset all button images to their off state\n const panButton = document.querySelector('img[name=\"panButton\"]');\n const zoominButton = document.querySelector('img[name=\"zoominButton\"]');\n const zoomoutButton = document.querySelector('img[name=\"zoomoutButton\"]');\n\n if (panButton && panButton instanceof HTMLImageElement) {\n panButton.src = '/images/button_pan_off.png';\n }\n if (zoominButton && zoominButton instanceof HTMLImageElement) {\n zoominButton.src = '/images/button_zoomin_off.png';\n }\n if (zoomoutButton && zoomoutButton instanceof HTMLImageElement) {\n zoomoutButton.src = '/images/button_zoomout_off.png';\n }\n }\n\n function initializeMapControls() {\n const myForm = document.querySelector('form[name=\"myform\"]');\n if (!myForm || !(myForm instanceof HTMLFormElement)) {return;}\n\n // Zoom In button\n const zoominButton = document.querySelector('img[name=\"zoominButton\"]');\n if (zoominButton && zoominButton instanceof HTMLImageElement) {\n zoominButton.addEventListener('click', function () {\n resetButtons();\n this.src = '/images/button_zoomin_on.png';\n const zoomInput = myForm.querySelector('input[name=\"zoom\"]');\n if (zoomInput && zoomInput instanceof HTMLInputElement) {\n zoomInput.value = '-2';\n }\n });\n }\n\n // Pan button\n const panButton = document.querySelector('img[name=\"panButton\"]');\n if (panButton && panButton instanceof HTMLImageElement) {\n panButton.addEventListener('click', function () {\n resetButtons();\n this.src = '/images/button_pan_on.png';\n const zoomInput = myForm.querySelector('input[name=\"zoom\"]');\n if (zoomInput && zoomInput instanceof HTMLInputElement) {\n zoomInput.value = '1';\n }\n });\n }\n\n // Zoom Out button\n const zoomoutButton = document.querySelector('img[name=\"zoomoutButton\"]');\n if (zoomoutButton && zoomoutButton instanceof HTMLImageElement) {\n zoomoutButton.addEventListener('click', function () {\n resetButtons();\n this.src = '/images/button_zoomout_on.png';\n const zoomInput = myForm.querySelector('input[name=\"zoom\"]');\n if (zoomInput && zoomInput instanceof HTMLInputElement) {\n zoomInput.value = '2';\n }\n });\n }\n }\n\n function initializePresetViews() {\n // Handle preset view dropdown navigation\n const baForm = document.querySelector('form[name=\"ba\"]');\n if (baForm && baForm instanceof HTMLFormElement) {\n const baSelect = baForm.querySelector('select[name=\"ba\"]');\n if (baSelect && baSelect instanceof HTMLSelectElement) {\n baSelect.addEventListener('change', function () {\n const selectedValue = this.options[this.selectedIndex].value;\n if (selectedValue && selectedValue !== '#') {\n window.location.href = selectedValue;\n }\n });\n }\n }\n }\n});\n" }, { "path": "htdocs/GIS/apps/iem/freeze.phtml", "content": " 0) {\n $t->headextra = \"\\n\";\n}\n$t->title = \"IEM Freeze\";\n$t->jsextra = <<\nEOM;\n\n$ar = array(\"1\" => \"Show\", \"0\" => \"Hide\");\n$rselect = make_select(\"radar\", $radar, $ar);\n\n$ar = array(\"0\" => \"Never\", \"300\" => \"5 minutes\", \"600\" => \"10 minutes\");\n$reselect = make_select(\"refresh\", $refresh, $ar);\n\n$sselect = \"\";\n\n$ar = array(\n \"640x480\" => \"640x480\",\n \"800x600\" => \"800x600\",\n \"1280x1024\" => \"1280x1024\"\n);\n$imgsizeselect = make_select(\"imgsize\", $imgsize, $ar);\n\n\n$t->content = <<\n Notice: The newly created\n IEM One app\n generally replicates this\n app's functionality and more. If there are no user complaints, this app\n will be retired in the future.\n\n\n

    \n
    Temperature Key:
    \n\n
    \n

    IEM Freeze

    \n
    \n\n
    \n\n\n\n\n\n\n
    \n\n
    Map Controls:
    \n\"Zoom\n\"Pan\"\n\"Zoom\nReset\n
    \n\n
    Radar Layer? {$rselect}
    \n
    Map Refresh? {$reselect}
    \n
    Map Size? {$imgsizeselect}
    \n
    \n\n
    \n\n\n
    \n
    \n\n\n
    \n
    \n
    \n\nPreset Views:
    \n
    \n{$sselect}\n
    \n\n
    \n\n
    This application uses the \nIEM RadMap API to generate\nthe image you see above. You could place the above image on your webpage by\nright-clicking the image above and select \"Copy Image URL\" and then use that\nas your image source on your webpage.
    \n \n

    IEM Freeze lets you quickly evaluate air\nand pavement temperatures, along with concurrent radar observations\nof precipitation:
    \n

      \n
    • Pavement temperatures are indicated by color-coded dots.
      • \n
    • Air temperatures are given by numerical values (also color-coded).
      • \n
    • Current Composite RADAR also is overlain on each plot.
      • \n
    \n\n

    This historical plot \n shows how IEM Freeze looks when the winter weather gets interesting.

    \n\n

    Your feedback is needed! Please let me know how you would like this \napplication to behave.\nEOM;\n$t->render(\"single.phtml\");\n" }, { "path": "htdocs/GIS/apps/onsite/robins.php", "content": "getLayerByName(\"counties\");\n$counties->__set(\"status\", MS_ON);\n\n$robins = $map->getLayerByName(\"robins\");\n$robins->__set(\"status\", MS_ON);\n\n$img = $map->prepareImage();\n\n$counties->draw($map, $img);\n$robins->draw($map, $img);\n\n$map->drawLabelCache($img);\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/apps/profit/index.css", "content": "/* Profit Map Styling - Simplified Layout */\n\n/* Ensure the map fills its container properly */\n#map {\n background-color: #f8f9fa;\n}\n\n/* Style the year selection buttons */\n.btn-group-vertical .btn-check {\n position: absolute;\n clip: rect(0, 0, 0, 0);\n pointer-events: none;\n}\n\n/* Ensure proper spacing in vertical button group */\n.btn-group-vertical .btn {\n border-radius: 0.375rem !important;\n margin-bottom: 2px;\n}\n\n.btn-group-vertical .btn:last-child {\n margin-bottom: 0;\n}\n\n/* Legend image styling */\n.card-body img {\n max-width: 100%;\n height: auto;\n}\n\n/* Disclaimer toggle button styling */\n#disclaimer_btn {\n font-weight: 500;\n}\n\n#disclaimer_btn:hover {\n text-decoration: underline !important;\n}\n\n/* Responsive adjustments */\n@media (max-width: 768px) {\n .col-md-9, .col-md-3 {\n margin-bottom: 1rem;\n }\n \n #map {\n height: 400px !important;\n }\n}" }, { "path": "htdocs/GIS/apps/profit/index.js", "content": "/**\n * Profitability Map Application\n * Simplified vanilla JavaScript implementation\n */\n/* global ol */\n\nlet map = null;\nlet player = null;\n\n/**\n * Initialize the map and controls\n */\nfunction initializeMap() {\n // Create the profitability layer\n player = new ol.layer.Tile({\n title: 'Profitability',\n visible: true,\n source: new ol.source.XYZ({\n url: '/c/tile.py/1.0.0/profit2010/{z}/{x}/{y}.png'\n })\n });\n\n // Initialize OpenLayers map\n map = new ol.Map({\n target: 'map',\n layers: [\n new ol.layer.Tile({\n title: 'OpenStreetMap',\n visible: true,\n source: new ol.source.OSM()\n }),\n player\n ],\n view: new ol.View({\n projection: 'EPSG:3857',\n center: ol.proj.transform([-93.5, 42.1], 'EPSG:4326', 'EPSG:3857'),\n zoom: 7\n })\n });\n \n // Add layer switcher control\n map.addControl(new ol.control.LayerSwitcher());\n}\n\n/**\n * Handle year selection change\n * @param {Event} event - The change event\n */\nfunction handleYearChange(event) {\n const year = event.target.value;\n if (player && year) {\n player.setSource(new ol.source.XYZ({\n url: `/c/tile.py/1.0.0/profit${year}/{z}/{x}/{y}.png`\n }));\n }\n}\n\n/**\n * Initialize event listeners\n */\nfunction initializeEventListeners() {\n // Year selection radio buttons\n const yearRadios = document.querySelectorAll('input[name=\"whichyear\"]');\n yearRadios.forEach((radio) => {\n radio.addEventListener('change', handleYearChange);\n });\n}\n\n/**\n * Application initialization\n */\ndocument.addEventListener('DOMContentLoaded', () => {\n initializeMap();\n initializeEventListeners();\n});\n" }, { "path": "htdocs/GIS/apps/profit/index.php", "content": "title = \"Profitability Map\";\n$t->headextra = <<\n\n\nEOM;\n$t->jsextra = <<\n\n\nEOM;\n\n$t->content = <<\n

    \n

    Iowa Corn/Soybean Profitability Map

    \n

    \n This interactive map shows estimates of profitability for corn and soybean production \n across Iowa fields. Select a year to view profitability data for that growing season.\n

    \n
    \n\n\n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n \n
    \n \n
    \n
    \n
    Select Year
    \n
    \n
    \n
    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    \n
    \n
    \n\n \n
    \n
    \n
    Legend
    \n
    \n
    \n \"Profitability\n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    \n \n
    \n
    \n
    \n

    \n This map shows estimates of profitability of fields in corn or\n soybean. This map is meant to provide insight into alternative land\n management to improve farm profitability using publically available\n (and funded) data, thus allowing access without purchase of a private\n farm data management plan. While useful for insight into relative\n performance of areas within fields, and representative of Iowa farm\n management, this map does not contain individual economic or\n management data, and actual profitability will depend on actual\n expenses, revenue and management. We present a snapshot of the\n current possibilities with the available data and hope to improve\n this map in the future to allow user-defined values for\n individualized results. Local variations of yields, management and\n marketing practices, land tenure, and inaccuracy of the underlying\n spatial data result in deviations from the estimates presented here.\n

    \n\n

    For a complete\n description of the underlying data and methods, please refer to the\n research article \"Subfield profitability analysis reveals an\n economic case for cropland diversification,\" that can be freely\n accessed online.\n

    \n\n

    The analysis was\n performed for fields that were planted in corn or soybeans according\n to the cropland data\n layer (CDL) for 2010-2013. The 2013 CDL was used for 2015.\n Patches of similar profitability are defined by soil\n survey (SSURGO) and common\n land unit (CLU, 2008) delineations. Profitability was calculated\n by deducting cash rent and crop production cost estimates from the\n crop revenue (crop yield x grain price). Potential yields were taken\n from the Iowa\n soil properties and interpretations database (ISPAID) and\n adjusted to average county\n yields (NASS, 2010-2013) or to trend\n county yields (USDA RMA, 2015). Grain prices are the average\n monthly prices of each marketing year, and the forecast for 2015 from\n the USDA\n WASDE report of May 2016. Cash rents are taken from county\n surveys (ISU extension, 2010-2013, 2015), adjusted to corn\n suitability rating (CSR). Crop production costs were taken from the\n ISU\n Ag Decision Maker cost estimates.\n

    \n
    \n
    \n
    \n
    \n
    \n\nEOM;\n\n$t->render('full.phtml');\n" }, { "path": "htdocs/GIS/apps/rview/anim_gif.php", "content": "get(\"/GIS/apps/rview/warnings.phtml?fts={$fts}\");\nif (!$urls) {\n die(\"fts not found, ERROR\");\n}\nchdir(\"/var/webtmp\");\n$cmdstr = \"gifsicle --colors 256 --loopcount=0 --delay=100 -o {$fts}_anim.gif \";\nforeach ($urls as $k => $v) {\n // value is now single quoted, so remove those\n $res = file_get_contents(sprintf(\n \"%s%s\",\n $INTERNAL_BASEURL,\n str_replace(\"'\", \"\", $v)\n ));\n $fn = \"{$fts}_{$k}.png\";\n $gfn = \"{$fts}_{$k}.gif\";\n $f = fopen($fn, 'wb');\n fwrite($f, $res);\n fclose($f);\n if (exec(escapeshellcmd(\"magick $fn $gfn\")) === FALSE) { // skipcq\n die(\"magick failed\");\n };\n $cmdstr .= \" {$gfn} \";\n}\n\nif (exec(escapeshellcmd($cmdstr)) === FALSE){ // skipcq\n die(\"gifsicle failed\");\n};\n\nheader(\"Content-type: application/octet-stream\");\nheader(\"Content-Disposition: attachment; filename=myanimation.gif\");\n\nreadfile(\"{$fts}_anim.gif\");\n" }, { "path": "htdocs/GIS/apps/rview/compare.phtml", "content": "title = \"RADAR Comparison\";\n$nt = new NetworkTable(\"NEXRAD\");\n\n$latlon = new projectionObj(\"init=epsg:4326\");\n$p26915 = new projectionObj(\"init=epsg:26915\");\n\n$cntyMdpoint = new pointObj();\n$cntyMdpoint->setXY(($extents[0] + $extents[2]) / 2,\n ($extents[1] + $extents[3]) / 2\n);\n$cntyMdpoint->project($latlon, $p26915);\n\n$n = array(\"DMX\", \"DVN\", \"ARX\", \"MPX\", \"FSD\", \"OAX\", \"EAX\");\n$distances = array();\nforeach ($n as $key => $site) {\n $r = new pointObj();\n $r->setXY($nt->table[$site]['lon'], $nt->table[$site]['lat']);\n $r->project($latlon, $p26915);\n $distances[$site] = round($r->distanceToPoint($cntyMdpoint) / 1000, 0);\n}\n\n$site = \"DMX\";\n$dmx_url = drawCountyNEXRAD($site, $extents);\n$site = \"DVN\";\n$dvn_url = drawCountyNEXRAD($site, $extents);\n$site = \"ARX\";\n$arx_url = drawCountyNEXRAD($site, $extents);\n$site = \"FSD\";\n$fsd_url = drawCountyNEXRAD($site, $extents);\n$site = \"OAX\";\n$oax_url = drawCountyNEXRAD($site, $extents);\n$site = \"MPX\";\n$mpx_url = drawCountyNEXRAD($site, $extents);\n$site = \"EAX\";\n$eax_url = drawCountyNEXRAD($site, $extents);\n\n$ftime = filemtime('/mesonet/ldmdata/gis/images/4326/ridge/DMX/N0B_0.png');\n$radTS = date(\"m/d h:i a\", $ftime);\n$s = drawStateNEXRAD($extents);\n\n$t->content = <<\n
  • Current RADAR Products
    • \n
  • RADAR comparison
    • \n\n\n

    RADAR Base Reflectivity Comparison:

    \n\n\n \n \n \n\n\n \n \n\n\n \n \n\n\n \n \n\n\n
    DMX - Des Moines:\n
    Distance: {$distances['DMX']} km\n
    		\n Directions: Click on the State NEXRAD view to change your comparison \n area (shown in white)
    \n {$s}\n \n Reset app (view state)\n
    RADAR composite valid: $radTS \n

    Notes:\n

  • This app is purely for educational purposes.
    • \n
  • Distances are measured from the RADAR site to the midpoint of the area \n you selected.\n
  • Only radars in precip mode are shown.
    • \n\n
    ARX - LaCrosse:\n
    Distance: {$distances['ARX']} km\n
    		MPX - Minneapolis:\n
    Distance: {$distances['MPX']} km\n
    FSD - Sioux Falls:\n
    Distance: {$distances['FSD']} km\n
    		OAX - Omaha:\n
    Distance: {$distances['OAX']} km\n
    DVN - Davenport:\n
    Distance: {$distances['DVN']} km\n
    		EAX - Pleasant Hill:\n
    Distance: {$distances['EAX']} km\n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/rview/warnings.css", "content": "div.wwaW {\n border-top: 1px solid #000;\n border-left: 10px solid #f00;\n margin-bottom: 3px;\n float: left;\n width: 90%;\n}\n\ndiv.wwaY {\n border-top: 1px solid #000;\n border-left: 10px solid #ff0;\n margin-bottom: 3px;\n float: left;\n width: 90%;\n}\n\ndiv.wwaS {\n border-left: 10px solid #fff;\n border-top: 1px solid #000;\n margin-bottom: 3px;\n float: left;\n width: 90%;\n}\n\ndiv.wwaA {\n border-top: 1px solid #000;\n border-left: 10px solid #f0f;\n margin-bottom: 3px;\n float: left;\n width: 90%;\n}\n\n.issued {\n background: #eee;\n width: 33%;\n float: left;\n}\n\n.updated {\n background: #eee;\n width: 33%;\n float: left;\n}\n\n.vtec {\n clear: both;\n float: left;\n background: #eee;\n width: 33%;\n}\n\n.wwa-state {\n clear: both;\n border: 1px solid #000;\n float: left;\n padding: 5px;\n width: 30px;\n}\n\n/* Legend container styling to prevent layout conflicts */\n.legend-container {\n clear: both;\n margin: 10px 0;\n text-align: left;\n}\n\n.legend-container img {\n display: block;\n max-width: 100%;\n height: auto;\n}" }, { "path": "htdocs/GIS/apps/rview/warnings.module.js", "content": "/**\n * Warnings Application - Vanilla JavaScript ES Module\n * Migrated from jQuery to vanilla JavaScript\n */\n\nimport { getElement } from '/js/iemjs/domUtils.js';\n\n/**\n * Show or hide control panels\n * @param {string} layerName ID of the control panel to toggle\n */\nfunction showControl(layerName) {\n const targetElement = getElement(layerName);\n const oldval = targetElement ? targetElement.style.display : 'none';\n \n // Hide all control panels\n setLayerDisplay(\"layers-control\", 'none');\n setLayerDisplay(\"locations-control\", 'none');\n setLayerDisplay(\"time-control\", 'none');\n setLayerDisplay(\"options-control\", 'none');\n \n // Show the target panel if it was hidden\n if (oldval === 'none') {\n setLayerDisplay(layerName, 'block');\n }\n}\n\n/**\n * Set display style for a layer element\n * @param {string} layerName ID of the element to modify\n * @param {string} displayValue CSS display value to set\n */\nfunction setLayerDisplay(layerName, displayValue) {\n const element = getElement(layerName);\n if (element) {\n element.style.display = displayValue;\n }\n}\n\n/**\n * Initialize the application\n */\nfunction init() {\n // Set up event listeners for control buttons\n const dataWindow = getElement('datawindow');\n if (dataWindow) {\n const buttons = dataWindow.querySelectorAll('button[data-control]');\n buttons.forEach(button => {\n button.addEventListener('click', (event) => {\n const controlType = event.target.getAttribute('data-control');\n if (controlType) {\n showControl(`${controlType}-control`);\n }\n });\n });\n }\n\n // Set up auto-refresh for non-archive mode\n const urlParams = new URLSearchParams(window.location.search);\n if (!urlParams.has('archive')) {\n // Auto-refresh every 5 minutes if not in archive mode\n setTimeout(() => {\n const form = document.forms.myform;\n if (form) {\n form.submit();\n }\n }, 300000);\n }\n}\n\n// Initialize when DOM is loaded\nif (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', init);\n} else {\n init();\n}\n" }, { "path": "htdocs/GIS/apps/rview/warnings.phtml", "content": " 0, \"EDT\" => 14400, \"EST\" => 18000, \"CDT\" => 18000,\n \"CST\" => 21600, \"MDT\" => 21600, \"MST\" => 25200, \"PDT\" => 25200,\n \"PST\" => 28800\n);\nif (!array_key_exists($tz, $tzdict)) {\n xssafe(\"\");\n}\n\n$tzoff = $tzdict[$tz];\n$filter = get_int404(\"filter\", 0);\n$lsrwindow = get_int404(\"lsrwindow\", \"0\");\n$lsrlook = isset($_GET[\"lsrlook\"]) ? xssafe($_GET[\"lsrlook\"]) : \"+\";\n// careful here as we can have PXXX sites\n$site = isset($_GET[\"site\"]) ? strtoupper(substr(xssafe($_GET[\"site\"]), 0, 4)) : \"DMX\";\n$osite = isset($_GET[\"osite\"]) ? substr($_GET[\"osite\"], 0, 4) : \"DMX\";\n$sortcol = isset($_GET[\"sortcol\"]) ? substr(xssafe($_GET[\"sortcol\"]), 0, 20) : \"issued\";\n$sortdir = isset($_GET[\"sortdir\"]) ? xssafe($_GET[\"sortdir\"]) : \"DESC\";\n$lon0 = isset($_GET[\"lon0\"]) ? floatval($_GET[\"lon0\"]) : 0;\n$lat0 = isset($_GET[\"lat0\"]) ? floatval($_GET[\"lat0\"]) : 0;\n$zoom = get_int404(\"zoom\", 250);\n$imgsize = isset($_GET[\"imgsize\"]) ? xssafe($_GET[\"imgsize\"]) : \"640x480\";\n$interval = get_int404(\"interval\", 5);\n$frames = get_int404(\"frames\", 10);\n$warngeo = isset($_GET[\"warngeo\"]) ? xssafe($_GET[\"warngeo\"]) : \"both\";\n$ar = explode(\"x\", $imgsize);\nif (count($ar) != 2) {\n xssafe(\"\");\n}\n$width = $ar[0];\n$height = $ar[1];\n\n$isarchive = (isset($_GET[\"archive\"]) && $_GET[\"archive\"] == \"yes\") ? 1 : 0;\n$archive = isset($_GET[\"archive\"]) ? xssafe($_GET[\"archive\"]) : \"\";\n//if ($isarchive) { $loop = 0; }\n$a = time();\nif ($isarchive) {\n $year = get_int404(\"year\", date(\"Y\", $a - $tzoff));\n $month = get_int404(\"month\", date(\"m\", $a - $tzoff));\n $day = get_int404(\"day\", date(\"d\", $a - $tzoff));\n $hour = get_int404(\"hour\", date(\"H\", $a - $tzoff));\n $m = get_int404(\"minute\", date(\"i\", $a - $tzoff));\n} else {\n $year = date(\"Y\", $a - $tzoff);\n $month = date(\"m\", $a - $tzoff);\n $day = date(\"d\", $a - $tzoff);\n $hour = date(\"H\", $a - $tzoff);\n $m = date(\"i\", $a - $tzoff);\n}\n\nif ($m >= 55) $ma = \"55\";\nelse if ($m >= 50) $ma = \"50\";\nelse if ($m >= 45) $ma = \"45\";\nelse if ($m >= 40) $ma = \"40\";\nelse if ($m >= 35) $ma = \"35\";\nelse if ($m >= 30) $ma = \"30\";\nelse if ($m >= 25) $ma = \"25\";\nelse if ($m >= 20) $ma = \"20\";\nelse if ($m >= 15) $ma = \"15\";\nelse if ($m >= 10) $ma = \"10\";\nelse if ($m >= 5) $ma = \"05\";\nelse $ma = \"00\";\n\n$m = $ma;\n$basets = mktime($hour, $m, 0, $month, $day, $year);\n$wfo_filter_ts = mktime(0, 0, 0, 8, 29, 2004);\nif ($isarchive && $basets < $wfo_filter_ts) {\n $filter = 0;\n}\n\n$nt = new NetworkTable(Array(\"WFO\", \"RFC\", \"CWSU\"), TRUE);\n$nt->table[\"NHC\"] = array(\n \"lat\" => 25.75, \"lon\" => -80.38,\n \"name\" => \"National Hurricane Center\"\n);\nif (!array_key_exists($site, $nt->table)){\n http_response_code(422);\n die(\"Invalid Site Identifier\");\n}\n\n$uri = \"$baseuri?frames=$frames&interval=$interval&site=$site&\" .\n \"cu=$cu&archive=$archive&year=$year&month=$month&\" .\n \"day=$day&hour=$hour&minute=$m&loop=$loop&\" .\n \"filter=$filter&sortdir=$sortdir&zoom=$zoom&warngeo=$warngeo\";\n$uri_nowfo = \"$baseuri?frames=$frames&interval=$interval&\" .\n \"archive=$archive&cu=$cu&year=$year&month=$month&\" .\n \"day=$day&hour=$hour&minute=$m&loop=$loop&\" .\n \"filter=$filter&sortdir=$sortdir&zoom=$zoom&warngeo=$warngeo\";\n\n\n/*\n Okay, complicated location stuff here...\n + case1: Default DMX (first page load)\n + case2: User clicks on map\n + case3: User selects different WFO ($osite != $site)\n + case4: Nothing happens. lat0 lon0 are defined\n*/\n\nif (isset($_GET[\"lat0\"]) && isset($_GET[\"lon0\"]) && $osite == $site) {\n $uri .= \"&lat0=$lat0&lon0=$lon0\";\n} else if (isset($_GET[\"site\"]) || $lat0 == 0 || $lon0 == 0 || $osite != $site) {\n $osite = $site;\n $lat0 = $nt->table[$site][\"lat\"];\n $lon0 = $nt->table[$site][\"lon\"];\n $uri .= \"&lat0=$lat0&lon0=$lon0\";\n}\n\n$t->title = \"RADAR & NWS Warnings\";\n$t->jsextra = <<\nEOM;\n$t->headextra = <<\nEOM;\n\n$content = <<\n\n\nEOM;\nif (isset($_GET[\"lat0\"])) {\n $content .= \"\n \";\n}\n\n$rtl = array(\n \"usdm\" => \"US Drought Monitor\",\n \"goes_vis\" => \"CONUS GOES Visible\",\n \"goes_ir\" => \"CONUS GOES Infrared\",\n \"goes_wv\" => \"CONUS GOES Water Vapor\",\n \"current_barbs\" => \"Current Wind Barbs\",\n \"airtemps\" => \"Current Air Temps\",\n \"current_sites\" => \"Site Labels\",\n);\n$rtlselect = \"\";\nforeach ($rtl as $key => $val) {\n $rtlselect .= sprintf(\n '
    ',\n $key,\n $key,\n (in_array($key, $layers)) ? ' checked=\"checked\"' : '',\n $key,\n $val\n );\n}\n\n$ll = array(\n \"nexrad\" => \"CONUS NEXRAD\",\n \"akn0q\" => \"Alaska NEXRAD (2010+)\",\n \"hin0q\" => \"Hawaii NEXRAD (2010+)\",\n \"prn0q\" => \"Puerto Rico NEXRAD (2010+)\",\n \"warnings\" => \"Warnings\",\n \"cwsu\" => \"CWSU Boundaries\",\n \"cwas\" => \"WFO Boundaries\",\n \"uscounties\" => \"US Counties\",\n \"interstates\" => \"US Interstates\",\n \"watches\" => \"Watches\",\n);\n$lselect = \"\";\nforeach ($ll as $key => $val) {\n $lselect .= sprintf(\n '
    ',\n $key,\n $key,\n (in_array($key, $layers)) ? ' checked=\"checked\"' : '',\n $key,\n $val\n );\n}\n\n$wselect = '\";\n\n$ar = array(\n \"UTC\" => \"UTC\", \"EDT\" => \"EDT\", \"EST\" => \"EST\",\n \"CDT\" => \"CDT\",\n \"CST\" => \"CST\",\n \"MDT\" => \"MDT\",\n \"MST\" => \"MST\", \"PDT\" => \"PDT\",\n \"PST\" => \"PST\"\n);\n$tzselect = make_select(\"tz\", $tz, $ar);\n\n$ar = array(\n \"both\" => \"County + Polygon\",\n \"county\" => \"County Only\",\n \"sbw\" => \"Storm Based Warning\"\n);\n$wgselect = make_select(\"warngeo\", $warngeo, $ar);\n\n$ar = array(\n 5 => \"5 km\", 10 => \"10 km\", 25 => \"25 km\", 50 => \"50 km\",\n 100 => \"100 km\", 250 => \"250 km\", 500 => \"500 km\", 1000 => \"1000 km\",\n 3000 => \"3000 km\"\n);\n$zselect = make_select(\"zoom\", $zoom, $ar);\n\n$ar = array(\n 0 => \"Hide\", 5 => \"5 minutes\", 10 => \"10 minutes\",\n 15 => \"15 minutes\", 30 => \"30 minutes\", 60 => \"60 minutes\"\n);\n$lwselect = make_select(\"lsrwindow\", $lsrwindow, $ar);\n\n$ar = array(\n \"fcster\" => \"Product Author\", \"phenomena\" => \"Product Type\",\n \"expire\" => \"Product Expiration\", \"issue\" => \"Product Issued\",\n \"sname\" => \"State Name\", \"updated\" => \"Product Updated\",\n \"wfo\" => \"Weather Office\", \"eventid\" => \"VTEC Event ID\",\n \"status\" => \"VTEC Status\"\n);\n$sselect = make_select(\"sortcol\", $sortcol, $ar);\n\n$ar = array(\n \"640x480\" => \"640x480\",\n \"800x600\" => \"800x600\",\n \"1024x768\" => \"1024x768\",\n \"1280x1024\" => \"1280x1024\",\n);\n$igselect = make_select(\"imgsize\", $imgsize, $ar);\n\n$ar = array(\n \"+\" => \"+\",\n \"-\" => \"-\",\n \"+/-\" => \"+/-\",\n);\n$lrselect = make_select(\"lsrlook\", $lsrlook, $ar);\n\n$ar = array(\n \"0\" => \"1 image only\",\n \"1\" => \"Java Script Loop\"\n);\n$loselect = make_select(\"loop\", $loop, $ar);\n\n$ar = array(\n \"5\" => \"5 minutes\",\n \"10\" => \"10 minutes\",\n \"15\" => \"15 minutes\",\n \"30\" => \"30 minutes\",\n \"60\" => \"1 hour\",\n \"120\" => \"2 hours\",\n \"1440\" => \"1 day\",\n);\n$ivselect = make_select(\"interval\", $interval, $ar);\n\n$ar = array(\"0\" => \"No\", \"1\" => \"Yes\");\n$wfselect = make_select(\"filter\", $filter, $ar);\n\n$pradio = \"
    Show All\";\n$pradio .= \"
    Convective Only\";\n\n$ar = array(\"DESC\" => \"DESC\", \"ASC\" => \"ASC\");\nif (!array_key_exists($sortdir, $ar)){ $sortdir = \"DESC\"; }\n$sdselect = make_select(\"sortdir\", $sortdir, $ar);\n\n$yselect = yearSelect(2003, $year, \"year\");\n$mselect = monthSelect($month, \"month\");\n$dselect = daySelect($day, \"day\");\n$hselect = hourSelect($hour, \"hour\");\n$miselect = minuteSelect($m, \"minute\", 5);\n\n$achecked = ($isarchive) ? \" CHECKED='CHECKED'\" : \"\";\n$dwwidth = $width + 250;\n$dwheight = $height + 100;\n$content .= <<\n\n\n\n\n\n
    \n

    \n\nAvailable Layers\n{$rtlselect}\n{$lselect}\n\n\n
    \n\n
    \n
    \n
    \nNWS CWSU/WFO/RFC Office:
    \n{$wselect}\n\n
    Selecting a different office will move the display to that office.\n
    \n\n
    \n
    \n
    \n

    Select Time Zone
    \n{$tzselect}\n\n

    Archive Options
    \nSet Archive Mode\n
    If you are producing an animation, this date specifies the end date of\nthe loop.

    \n\n\n\n\n\n
    Year:{$yselect}
    Month:{$mselect}
    Day:{$dselect}
    Time:{$hselect}:{$miselect}
    \n\n

    \n\n
    \n
    \n
    \nWarning geography:\n
    Short term warnings (SVR,TOR,SMW) have a storm based and county\ngeography associated with them. You can pick which or both to display:\n
    {$wgselect}\n\n

    Map Extent:\n
    View Scale: {$zselect}\n\n
    Image Size:\n{$igselect}\n\n

    Loop Options\n
    {$loselect}\n
    Loop Frames:\n\n
    Loop Frame Interval:\n{$ivselect}\n\n

    Text Warning Listing\n
    Filter by WFO:\n{$wfselect}\n\n
    Product Filter:\n{$pradio}\n\n
    Sort Column:\n{$sselect}\n\n
    Sort Direction:\n{$sdselect}\n\n

    Local Storm Reports (LSR)\n
    Time window around plot valid time to plot LSRs.\n
    {$lrselect}\n{$lwselect}\n

    \n\n
    \n
    \nEOM;\n\n$heightadd = 0;\n$maptitle = \"IEM NEXRAD Mosaic Base Reflectivity\";\nif ($loop === 1 || $loop === 2) {\n $t->jsani = true;\n // Alternative 1, we want javascript looper!\n $hidden_list = '
      ';\n $urls = array();\n for ($i = 0; $i < $frames; $i++) {\n $imgi = $frames - 1 - $i;\n include \"../../../../include/warnings_plot.php\";\n $hidden_list .= sprintf('
    • %s
      • ', $url);\n $urls[] = \"'{$url}'\";\n }\n $hidden_list .= \"
    \";\n // Save this animation to memcache for future potential use\n $memcache = MemcacheSingleton::getInstance();\n // UNIX time is not unique enough, so we multiply by a random int\n $fts = time() * random_int(1, 100);\n $memcache->set(\"/GIS/apps/rview/warnings.phtml?fts={$fts}\", $urls, 86400);\n\n $content .= <<\nDownload as Animated Gif
    \n
    \n{$hidden_list}\nEOM;\n\n} else {\n $imgi = 0;\n require \"../../../../include/warnings_plot.php\";\n $content .= \"\\n\";\n $content .= \"\\n\";\n $content .= \"\";\n}\n$content .= <<\nEOM;\n\n$content .= \"\\n\";\n\n// Position legend outside datawindow to prevent layout conflicts\n$content .= <<\n
    \n\"Warnings\n
    \nEOM;\n\n$connection = iemdb(\"postgis\");\n\n$scols = array(\"wfo\", \"phenomena\", \"cname\", \"expire\", \"sname\", \"issue\", \"updated\", \"status\", \"fcster\", \"eventid\");\nif (!in_array($sortcol, $scols)) {\n $sortcol = \"issue\";\n}\n\n$wtable = \"warnings_$year\";\n$tsextra = \"CURRENT_TIMESTAMP and issue < CURRENT_TIMESTAMP \";\nif ($isarchive) {\n $wtable = \"warnings_$year\";\n $tsextra = \"'\" . date(\"Y-m-d H:i:00+00\", $basets + $tzoff) . \"' and w.issue < '\" . date(\"Y-m-d H:i:00+00\", $basets + $tzoff) . \"'\";\n}\n$cuextra = \"\";\nif ($cu == 1) {\n $cuextra = \" and w.phenomena IN ('SV','TO','MA') \";\n}\n$query = \"SELECT w.phenomena, u.name as cname, w.expire as expire,\n w.updated as updated, w.status as status, w.fcster as fcster,\n w.eventid as eventid, w.significance as significance,\n w.issue as issue, u.state as sname, ST_xmax(u.geom) as lon0,\n ST_ymax(u.geom) as lat0, w.wfo as wfo\n from $wtable w, nws_ugc u\n WHERE w.expire > $tsextra and w.significance != 'A'\n and w.ugc = u.ugc $cuextra ORDER by {$sortcol} {$sortdir}\";\npg_query($connection, \"set time zone 'UTC'\");\n$result = pg_query($connection, $query);\n\n$afos = array(\n \"SV\" => \"Svr Tstorm\",\n \"TO\" => \"Tornado\",\n \"FF\" => \"Flash Flood\"\n);\n$content .= \"
    \nWarnings Valid at: \";\n\nif ($tzoff == 0) {\n if ($isarchive)\n $content .= date(\"d M Y H:i T\", $basets);\n else\n $content .= date(\"d M Y H:i T\");\n} else {\n if ($isarchive)\n $content .= date(\"d M Y h:i A \", $basets) . $tz;\n else\n $content .= date(\"d M Y h:i A \", time() - $tzoff) . $tz;\n}\n$content .= \"\n
    \";\n$k = 0;\nif ($tzoff == 0) {\n $dformat = \"H:i UTC\";\n} else {\n $dformat = \"h:i A\";\n}\n\n/* Loop thru results from database! */\n$wA = array();\n$iA = array();\n$uA = array();\n$fA = array();\nfor ($i = 0; $row = pg_fetch_assoc($result); $i++) {\n /* Save the drama! */\n if ($filter && $row[\"wfo\"] != $site) continue;\n\n /* key is wfo_state_vtecP_vtecE_vtecSig_expire_status */\n $key = sprintf(\n \"%s|%s|%s|%s|%s|%s|%s\",\n $row[\"wfo\"],\n $row[\"sname\"],\n $row[\"phenomena\"],\n $row[\"eventid\"],\n $row[\"significance\"],\n $row[\"expire\"],\n $row[\"status\"]\n );\n\n $iA[$key] = $row[\"issue\"];\n $uA[$key] = $row[\"updated\"];\n $fA[$key] = $row[\"fcster\"];\n if (!array_key_exists($key, $wA)) {\n $wA[$key] = \"\";\n }\n $wA[$key] .= \"\" . $row[\"cname\"] . \", \";\n}\n\n/* Now we loop thru aggregated warnings */\nforeach ($wA as $key => $val) {\n $tokens = explode(\"|\", $key);\n $wfo = $tokens[0];\n $sname = $tokens[1];\n $phenomena = $tokens[2];\n $eventid = $tokens[3];\n $significance = $tokens[4];\n $expire = $tokens[5];\n $status = $tokens[6];\n\n $warningscat = sprintf(\"/vtec/%s-O-NEW-K%s-%s-%s-%04d.html\",\n $year, $wfo, $phenomena, $significance, $eventid);\n\n $k += 1;\n $issue = strtotime($iA[$key]) - $tzoff;\n $expire = strtotime($expire) - $tzoff;\n $updated = strtotime($uA[$key]) - $tzoff;\n $resetApp = \"$uri_nowfo&tz=$tz&cu=$cu&year=$year&month=$month&day=$day&hour=$hour&minute=$m&archive=$archive&tzoff=$tzoff&site=$wfo\";\n\n $pp = (array_key_exists($phenomena, $reference[\"vtec_phenomena\"])) ? $reference[\"vtec_phenomena\"][$phenomena]: \"(($phenomena))\";\n $content .= \"
    $sname
    \" .\n \"
    \" .\n $pp . \" \" . $reference[\"vtec_significance\"][$significance] .\n \" (View Text) expires \" .\n date($dformat, $expire) . \" by $wfo (\" .\n $fA[$key] . \")
    \" . $wA[$key] .\n \"in $sname
    VTEC# $eventid ($status)
    \" .\n \"
    Issued: \" . date($dformat, $issue) . \"
    \" .\n \"
    Updated: \" . date($dformat, $updated) . \"
     
    \\n\";\n}\nif ($k == 0 && $filter) {\n $msg = \"

    No warnings currently valid for \" . $nt->table[$site][\"name\"];\n} else if ($k == 0) {\n $msg = \"

    No warnings valid in the United States\";\n}\nif ($k == 0) {\n $content .= $msg;\n}\n\n$content .= \"

    \";\nif (!$isarchive) {\n $content .= \"Download GIS shapefile of current warnings and/or GeoTiff of NEXRAD base reflectivity.\";\n}\n$content .= <<Notes:\n
      \n
    • The status column is simply the status of the warning.\n The warning is in 'NEW' state until a SVS is issued, then it goes to 'CON' for continued.
      • \n
    • NEXRAD composite is available since 1 Jan 1997.
      • \n
    • Prior to the NWS adoption of VTEC, warnings were not expired nor canceled.
      • \n
    • SVS updates were added in 2005.
      • \n
    • LSR archive begins 1 Jan 2002.
      • \n
    • Archive of watches begins 1 Jan 1997.
      • \n
    \n
    \nEOM;\n$t->content = $content;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/apps/rview/warnings_cat.phtml", "content": "title = \"SPC $year Convective Watch $num\";\n\nrequire_once \"../../../../include/rview_lib.php\";\n$db = iemdb(\"postgis\");\npg_query($db, \"SET TIME ZONE 'UTC'\");\n\n$stname = iem_pg_prepare($db, \"SELECT *, ST_xmin(geom) as x0,\n ST_xmax(geom) as x1, ST_ymin(geom) as y0, ST_ymax(geom) as y1,\n ST_askml(geom) as kml,\n ST_asGeoJSON(geom) as geojson from watches\n where extract(year from issued) = $1 and num = $2\");\n\n$ERROR = \"\";\n\n\n$rs = pg_execute($db, $stname, array($year, $num));\nif (pg_num_rows($rs) == 0) {\n $t->content = \"

    Sorry, watch number $num for year $year was not found

    \";\n $t->render('single.phtml');\n die();\n}\n\n$row = pg_fetch_assoc($rs);\n\n$textlinks = \"\";\nif (!is_null($row[\"product_id_saw\"])) {\n $textlinks .= sprintf(\n 'SAW Issuance%s',\n $row[\"product_id_saw\"],\n $row[\"product_id_saw\"],\n );\n}\nif (!is_null($row[\"product_id_sel\"])) {\n $textlinks .= sprintf(\n 'SEL Issuance%s',\n $row[\"product_id_sel\"],\n $row[\"product_id_sel\"],\n );\n}\nif (!is_null($row[\"product_id_sel\"])) {\n $textlinks .= sprintf(\n 'Watch Probs%s',\n $row[\"product_id_wwp\"],\n $row[\"product_id_wwp\"],\n );\n}\n\n$ts = strtotime($row[\"issued\"]);\n$expires = strtotime($row[\"expired\"]);\n$d = date(\"d F Y H:i\", $ts);\n\n$maptitle = htmlentities(\"SPC Watch number $num during $year\");\n$margin = 0.5;\n$url = sprintf(\"/GIS/radmap.php?title=%s&layers[]=uscounties&layers[]=nexrad&ts=%s&height=480&width=640&layers[]=watches&layers[]=watch_by_county§or=conus&bbox=%s,%s,%s,%s\", $maptitle, gmdate('YmdHi', $ts), $row[\"x0\"] - $margin, $row[\"y0\"] - $margin, $row[\"x1\"] + $margin, $row[\"y1\"] + $margin);\n\n/*____________________________ Plot LSRs */\nif ($expires < time() && $year > 2002) {\n $lurl = sprintf(\"/GIS/radmap.php?layers[]=lsrs&ts=%s&ts2=%s&height=480&width=640&layers[]=watches§or=conus&bbox=%s,%s,%s,%s\", gmdate('YmdHi', $ts), gmdate('YmdHi', $expires), $row[\"x0\"] - $margin, $row[\"y0\"] - $margin, $row[\"x1\"] + $margin, $row[\"y1\"] + $margin);\n}\n\n$ourl = sprintf(\"/GIS/radmap.php?layers[]=nexrad&ts=%s&height=480&width=640&layers[]=watches§or=conus\", gmdate('YmdHi', $ts));\n\n$prevlink = \"\";\nif ($num > 1) {\n $prevlink = \"Previous Watch\";\n}\n$nextlink = \"Next Watch\";\n\n$yselect = yearSelect(1997, $year);\n\n$issue = substr($row[\"issued\"], 0, 16);\n$expire = substr($row[\"expired\"], 0, 16);\n\n$spclink = sprintf(\n \"https://www.spc.noaa.gov/products/watch/%s/ww%04d.html\",\n $year,\n $num\n);\n\n$woulink = \"\";\n/* Include a link to download WOU outlines... */\nif (date(\"Y\", $ts) > 2005) {\n $woulink .= \"WOU Outline Shapefiles\";\n $begints = $ts + ((60 - intval(date(\"i\", $ts))) * 60);\n $endts = $expires - (intval(date(\"i\", $expires)) * 60);\n while ($begints <= $endts) {\n $woulink .= sprintf(\n \"%sZ, \",\n gmdate(\"Y\", $begints),\n gmdate(\"m\", $begints),\n gmdate(\"d\", $begints),\n gmdate(\"H\", $begints),\n $num,\n gmdate(\"H\", $begints)\n );\n $begints += 3600;\n }\n}\n\n$ltext = \"\";\nif (isset($lurl)) {\n $ltext .= \"

    Local Storm Reports:

    \";\n}\n$kml = htmlentities($row[\"kml\"]);\n\n$t->content = <<\n
      \n
    1. Severe Wx Products
      2. \n
    2. Storm Prediction Center Convective Watch Archive
      3. \n
    \n\n\n

    This application presents a browsable archive\nof SPC issued tornado and\nsevere thunderstorm watches. Each sequential\nwatch is assigned a numeric ID, which uniquely identifies a watch for each year.\nUp until 2006, the polygon was the valid area of the watch. Since then, the\nvalid area is issued by county and marine zone.\n

    \n\n

    Related Links:\nView This Watch on SPC Website\n \nDownload Watches\n \nList PDS Watches\n

    \n\n\n
    \n\n
    \n
    \nAll active watches at issuance:\n\n\n
    \n\n

    \n{$prevlink}   --   {$nextlink}\n\n\n\n\n\n{$textlinks}\n\n\n{$woulink}\n
    Type:{$row[\"type\"]}
    Watch #:{$yselect}\n\n
    Issue:{$issue} UTC
    Expired/Cancelled:{$expire} UTC
    \n\n\n

    Archive Status:\n

      \n
    • Watch archive should be complete back to 1997.
      • \n
    • RADAR composite is mostly complete back to 1997.
      • \n
    • Local Storm Reports are available after 2002.
      • \n
    \n\n
    \n\n
    \n\n

    Initial Watch Box and Watch By County Outline

    \n
    {$ERROR}\n\n\n{$ltext}\n\n

    Watch Polygon (KML):
    \n

    {$kml}
    \n\n

    Watch Polygon (GeoJSON):
    \n

    {$row[\"geojson\"]}
    \n\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/awips211.aux.xml", "content": "\n PROJCS["North_America_Lambert_Conformal_Conic",GEOGCS["GCS_North_American_1983",DATUM["North_American_Datum_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-95.0],PARAMETER["Standard_Parallel_1",25.0],PARAMETER["Standard_Parallel_2",25.0],PARAMETER["Latitude_Of_Origin",25.0],UNIT["Meter",1.0]]\n\n" }, { "path": "htdocs/GIS/awips211.prj", "content": "PROJCS[\"North_America_Lambert_Conformal_Conic\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"North_American_Datum_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"False_Easting\",0.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-95.0],PARAMETER[\"Standard_Parallel_1\",25.0],PARAMETER[\"Standard_Parallel_2\",25.0],PARAMETER[\"Latitude_Of_Origin\",25.0],UNIT[\"Meter\",1.0]]\n" }, { "path": "htdocs/GIS/goes.phtml", "content": "title = \"GOES GIS Products\";\n\n$adir = date(\"Y/m/d\");\n\n$t->content = <<GOES Satellite Imagery for GIS\n\n

    The IEM has a long history processing the GOES Satellite information into\nformats and services appropriate for GIS. This processing was based on the\nGINI format of products provided by NOAA. The IEM implemented a number of\nservices and archives based on this format.

    \n\n

    With the advent of GOES-R and GOES-S, this GINI format was discontinued and\nthe IEM pulled the plug on the various\nGOES East services back in 2018 and now in late 2019 GOES West.

    \n\n

    A renewed effort is now being made to process the new GOES-R and GOES-S data\ninto similar formats and services as before. There is not a one-to-one match\nhere due to many reasons.

    \n\n

    The source of our GOES data comes via Unidata NIMAGE\nproducts, which nicely merge the netCDF tiles into consistent products. These\nproducts use a geostationary satellite projection that the IEM attempts to\nnatively store and use within the various services.

    \n\n
    \n
    \n\n

    Satellite native projections

    \n\n
    current imagery folder\n
    \n\n
    \n\n

    Ready for Google-Maps

    \n \n
    Tile Map Service\n
    OpenLayers Example\n\n
    \n
    \n\n

    Changes

    \n\n
      \n
    • 30 Aug 2024: It was discovered that the various Hawaii\nservices were no longer updating. Turns out that the input source was\ndiscontinued by NOAA.\nThe GOES West services cover Hawaii now and should be used instead.
      • \n
    • 1 December 2019: GOES West products have stopped and everything\nhas been migrated to new workflows based on GOES-R (GOES-16) and GOES-S (GOES-17).
      • \n\n
    • 30 January 2018: GOES East products and services have been removed
      • \n\n
    • 18 December 2017: The GOES \"East\" satellite has been assigned now to\nthe recently launched GOES R/16 satelitte. Sadly, due to format changes and the\namount of CPU processing and disk storage needed, the IEM can likely no longer process\nthese datasets. The old GOES \"East\" continues to transmit until the first week or\nso of January.
      • \n\n
    • 24 November 2014: The Infrared Imagery is now color enhanced by\ndefault. The previous default grayscale was not very useful. You can find\na color ramp here.
      • \n
    \n\n

    OGC Web Map Service

    \n\n

    GOES West infrared imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/west_ir.cgi?\n\n

    GOES West Alaska infrared imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/alaska_ir.cgi?\n\n

    \n\n

    GOES West visible imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/west_vis.cgi?\n\n

    GOES West Alaska visible imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/alaska_vis.cgi?\n\n

    \n\n

    GOES West water vapor imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/west_wv.cgi?\n\n

    GOES West Alaska water vapor imagery\n
    {$EXTERNAL_BASEURL}/cgi-bin/wms/goes/alaska_wv.cgi?\n\n

    Note: To get the WMS capabilities, you need to add\n
    VER=1.1.1&SERVICE=WMS&REQUEST=GetCapabilities\n
    to the URIs above. Your WMS application may require it.\n\n

    Color Ramps Used

    \n
    \n
    \n

    Channel 1\n
    \"Channel

    \n

    Channel 2\n
    \"Channel

    \n

    Channel 3\n
    \"Channel

    \n

    Channel 4\n
    \"Channel

    \n

    Channel 5\n
    \"Channel

    \n

    Channel 6\n
    \"Channel

    \n

    Channel 7\n
    \"Channel

    \n

    Channel 8\n
    \"Channel

    \n
    \n
    \n

    Channel 9\n
    \"Channel

    \n

    Channel 10\n
    \"Channel

    \n

    Channel 11\n
    \"Channel

    \n

    Channel 12\n
    \"Channel

    \n

    Channel 13\n
    \"Channel

    \n

    Channel 14\n
    \"Channel

    \n

    Channel 15\n
    \"Channel

    \n

    Channel 16\n
    \"Channel

    \n\n
    \n
    \n\n

    Archive

    \n\n

    Since 20 Dec 2005, the IEM has archived 4km composites of East/West imagery.\n

    Since 8 March 2009, water vapor channel was added to the archive as well.\n

    Since 21 June 2011, the IEM started archiving GOES East and West vis,ir, and water vapor\nimagery in PNG format on the AWIPS 211 projection.\n

    Since 14 March 2012, the IEM started archiving all of the GINI processed imagery.\n

    22 March 2012, removed the confusing filenames of including the GOES satellite\nidentifier in the filename. This causes problems when the satellites change from\neast to west.\n\n

    \nToday's archive of imagery\n
    {$EXTERNAL_BASEURL}/archive/data/{$adir}/GIS/sat/\n
    The URL pattern contains the year, month, and day. The datafiles have\ntimestamps in UTC.\n
    \n\n

    Online Applications

    \n
      \n\n
    • The RADAR & NWS Warnings app provides a neat web mapping interface combining\nradar and satellite data along with NWS warning products.
      • \n\n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/index.php", "content": "title = \"GIS Mainpage\";\n$t->content = <<IEM GIS Information\n\n

    Geographic Information System (GIS) is a system for manipulating spatially \nreferenced data. Since the IEM contains many spatially referenced datasets, it would only seem\nnatural to integrate IEM data into GIS applications.

    \n\n

    \n
    \n\n

    Presentations & Docs:

    \n
      \n
    • 28 Jul 2003: NEXRAD + Mapserver HOWTO\n
      A HowTo on generating NEXRAD composite images with GEMPAK and \nserving them out with Mapserver.
      • \n
    • IEM Presentation Archive\n
      The IEM has given a number of GIS related talks. You can browse an\narchive of presentations.
      • \n
    • IEM RASTERs Lookup Tables\n
      Metadata on how you can convert IEM produced RASTERs into actual\n values!
      • \n
    \n\n\n

    Web Applications:

    \n\n\n\n

    Links:

    \n\n\n
    \n
    \n\nYou may have noticed this image appearing on\nIEM webpages. It signifies that the data link is ready for most GIS systems.\n\n

    IEM GIS Projects

    \n\n\n

    GIS Shapefiles:

    \n\n\n
    \nEOM;\n$t->render(\"single.phtml\");\n" }, { "path": "htdocs/GIS/isu_021120.phtml", "content": "title = \"ISU GIS Day 2002\";\n\n$t->content = <<Iowa State GIS Day\n\n
    Sorry, some of the links on this page are no\n longer functioning.
    \n\n

    On 20 Nov 2002, the IEM was privileged to be invitied as the\nkeynote speaker for the Iowa State GIS Day.\n This page provides a link to the \npresentation and URLS for applications referenced in the talk.

    \n\n\n

    >Example 1. Precipitation Analysis (discontinued)\n
    Web mapping application that combines NEXRAD precipitation estimates with\nobservations in near real-time.

    \n\n

    Example 2 Iowa Tornado Database\n
    Based on an Iowa Tornado reports archive, this web application allows you\nthe ability to dynamically plot and query tornado reports.

    \n\n

    Example 3 NWS Archive Warnings with National Composite NEXRAD\n
    NWS severe bulletins are ingested into the IEM spatial database in real-time\nand combined with a recent national RADAR mosiac.

    \n\n

    Example 4 3-4 June 2002 Flooding (discontinued)\n
    This application was quickly produced last summer in response to flooding in Eastern Iowa on\nthe dates of 3-4 June 2002.

    \n\n

    Example 5 Dynamic Variable Plotting\n
    With the IEM Currents page, you can dynamically select stations you would \nlike to plot and the variable of your choice. The link may take you to a blank\npage, if so, you will want to select a data network and add stations to your\nfavorites list.

    \n\n

    Example 6 Archived NEXRAD vs ASOS/AWOS precipitation comparisons\n
    This application allows dynamic comparisons between historical hourly rainfall\nestimates from the NEXRAD and observations from the AWOS/ASOS. Eventually, this \napplication will work in real-time and archived mode and with other networks.

    \n\n

    Example 7 IEM Site Location Maps\n
    This slick application combines topography, photography and other layers\nwith an IEM site location to produce a zoomable plot of a site's location. The\nmaps are fascinating to look at. Once you follow the link, you will\nwant to select a station and then \"Location Maps\".

    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/maps/pyims.xml", "content": "\n\n \n \n \n \n \n\n" }, { "path": "htdocs/GIS/model.phtml", "content": "title = \"HRRR Reflectivity Information\";\n\n$d = date(\"Y/m/d\");\n$t->content = <<\n
  • IEM RadView Mainpage
    • \n
  • HRRR Reflectivity
    • \n\n\n

    IEM Provided NCEP HRRR Forecated Simulated Reflectivity

    \n\n
    \n\n\n\n
    Latest HRRR 1 Hour Forecast (REFD)\n\n\n\n
    Latest HRRR 1 Hour Forecast with Precipitation Type (REFP)\n
    \n\n\n

    Since 2003, the IEM has been providing GIS web services providing NEXRAD composite and\nsingle site products. A common feature request made is for forecasted reflectivity to be \nmade as well. Thanks to some simulated reflectivity products from the NCEP HRRR Model, this\nis now possible.

    \n\n

    Quick Overview

    \n
      \n
    • Archive Begins: 14 Jul 2017 00 UTC
      • \n
    • Imagery Resolution: 0.02x0.02 degree lat/lon
      • \n
    • Current raw RASTERs: here, JSON metadata files are available for each file there
      • \n
    • Archived raw RASTERs: here based on UTC timestamps
      • \n
    \n\n

    Changelog

    \n
      \n
    • 25 Nov 2024: Initial support for HRRR Reflectivity with\na precipitation type color ramp applied. The hope is to backfill the archive\nwith this eventually.
      • \n
    \n\n

    Tile Map Service (TMS)

    \n\n

    You can call the TMS with either model initialization time explicit set or latest run\nprocessed by the IEM. For the explicit time set, the URL form looks like so:\n{$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/hrrr::REFD-F0000-201707140100/6/15/24.png\n
    \n{$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/hrrr::REFP-F0000-201707140100/6/15/24.png\n
    \nThe important parts here are hrrr::REFD-F0000-201707140100 which equates to HRRR model reflectivity\nfor forecast minute 0000 (needs to be 4 characters) for model initialization on 14 July 2017\nat 01 UTC. Whew, that's a mouthful! HRRR forecasts are available every 15 minutes between initialization\nand forecast hour 18. Again, this F**** value is in minutes, not hours!

    \n\n

    You can also specify 0 as the model initialization time, of which the last run processed by the\nIEM will be picked. For example:\n{$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/hrrr::REFD-F0000-0/6/15/24.png\n
    {$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/hrrr::REFP-F0000-0/6/15/24.png

    \n\n

    Suggested TMS Usage for Realtime

    \n\n

    To avoid any caching ugliness on the IEM's end, it is always best to use the explicit TMS URLs\nthat specify the HRRR model initialization time. A simple query you can do to figure out the\nlatest run is to fetch the 18-hour (1080 minute) forecast JSON metadata file:\n\n
    /data/gis/images/4326/hrrr/refd_1080.json\n\n

    The model_init_utc value in that file would be the latest run available.

    \n\n

    Web Map Service (WMS)

    \n\n

    There is also a standard WMS located at:\n{$EXTERNAL_BASEURL}/cgi-bin/wms/hrrr/refd.cgi\n
    The individual forecast hours have individual LAYERS defined like so\nrefd_0000 where 0000 is the forecast time in minutes

    \n\n{$EXTERNAL_BASEURL}/cgi-bin/wms/hrrr/refp.cgi\n
    The individual forecast hours have individual LAYERS defined like so\nrefp_0000 where 0000 is the forecast time in minutes

    \n\n

    Here's a legend for the REFP product:\n
    \"HRRR

    \n\n

    FAQ

    \n\n
      \n
    1. How soon is the latest run made available?\n
      At :40 minutes after the hour, a process starts that looks for the HRRR run initialized for\nthe previous hour. This processing takes about 10 minutes, so at for example 01:50 UTC, the 00 UTC\nrun should be available.
      2. \n\n
    2. What color index to reflectivity value scale is used for the REFD RASTERS?\n
      These images should match the\nIEM N0Q Composites.
      3. \n\n
    3. What color index to reflectivity value scale is used for the REFP RASTERS?\n
      These images use a 22-color per precipitation type scale. This RASTER\nis not intended to be used as data within a GIS.
      4. \n\n
    4. What exact dataset is being shown here?\n
      This is the production NCEP HRRR \"REFD\" variable, \"1000 m above ground\"\nsimulated RADAR reflectivity. The REFP applies a color ramp to\nthe reflectivity to indicate if it is rain, snow, freezing rain, and finally\nice.
      5. \n\n
    5. Am I free to use this service for lucrative commercial interests?\n
      You betcha, but don't sue us and also send us feedback on how\nthings can be improved for better usage.
      6. \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/rad-by-year-fe.phtml", "content": "title = \"IEM NEXRAD by Year\";\n$er = implode(\",\", $extents);\n\n$ar = Array(\"0.5\" => \"100 km\",\n \"2.5\" => \"500 km\",\n \"5\" => \"1000 km\",\n \"20\" => \"4000 km\");\n$szselect = make_select(\"sz\", $sz, $ar);\n\n$monselect = monthSelect($month, \"month\");\n$dayselect = daySelect($day, \"day\");\n$hrselect = hourSelect($hour, \"hour\");\n$minselect = minuteSelect($minute, \"minute\", 5);\n\n$t->content = <<\n
      \n
    1. GIS Mainpage
      2. \n
    2. IEM NEXRAD Mosaic by Year
      3. \n
    \n\n\n

    IEM NEXRAD Mosiac of Base Reflectivity by Year

    \n\n

    This application generates a summary image of IEM generated NEXRAD\nmosaic of base reflectivity for a given time over the archive's duration. \nYou can click on the map to move the desired location.

    \n\n
    \n\n\n\n\n\n\n\n\n\n\n\n
    Select AreaSelect Date
    \n \n
    Select Rough Box Size\n{$szselect}\n    		Month:{$monselect}
    Day:{$dayselect}
    Hour:{$hrselect}
    Minute:{$minselect}
    \n
    \n

    The image below may take a few moments to appear...
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/rad-by-year.php", "content": "imagecolor->setrgb(155, 155, 155);\n$map2->setSize($twidth * $cols + 11, $theight * 6 + $header + 13);\n$img2 = $map2->prepareImage();\n\n/* Title Bar */\n$bar640t = $map2->getLayerByName(\"bar640t\");\n$bar640t->__set(\"status\", MS_ON);\n$bar640t->draw($map2, $img2);\n\n/* Draw the title */\n$tlayer = $map2->getLayerByName(\"bar640t-title\");\n$point = new pointObj();\n$point->setXY(80, 16);\n$d = $dt->format(\"d M h:i A\");\n$point->draw($map2, $tlayer, $img2, 0, \"NEXRAD by Year for Time: $d\");\n\n/* Draw the subtitle */\n$point = new pointObj();\n$point->setXY(80, 31);\n$d = date(\"d M Y h:i A T\");\n$point->draw($map2, $tlayer, $img2, 1, \" map generated $d\");\n\n/* Draw the logo! */\n$layer = $map2->getLayerByName(\"logo\");\n$c0 = $layer->getClass(0);\n$c0s0 = $c0->getStyle(0);\n$c0s0->__set(\"size\", 40);\n$point = new pointObj();\n$point->setXY(40, 20);\n$point->draw($map2, $layer, $img2, 0, \"\");\n\n$layer = $map2->getLayerByName(\"n0r-ramp\");\n$point = new pointObj();\n$point->setXY(560, 15);\n$point->draw($map2, $layer, $img2, 0, \"\");\n\n$map2->drawLabelCache($img2);\n\n$gdimg_dest = imagecreatefromstring($img2->getBytes());\n\n$i = 0;\n$utcnow = new DateTime('now', new DateTimeZone(\"UTC\"));\nfor ($year = $beginYear; $year <= $endYear; $year++) {\n $radts = new DateTime(\"{$year}-{$month}-{$day} {$hour}:{$minute}\");\n $radts->setTimezone(new DateTimeZone(\"UTC\"));\n if ($radts > $utcnow) {\n continue;\n }\n\n /* Render the little maps */\n $map = new mapObj($mapFile);\n $map->__set(\"width\", $twidth);\n $map->__set(\"height\", $theight);\n $map->setExtent($extents[0], $extents[1], $extents[2], $extents[3]);\n\n $img = $map->prepareImage();\n\n $namerica = $map->getLayerByName(\"namerica\");\n $namerica->__set(\"status\", MS_ON);\n $namerica->draw($map, $img);\n\n $lakes = $map->getLayerByName(\"lakes\");\n $lakes->__set(\"status\", MS_ON);\n $lakes->draw($map, $img);\n\n /* Draw NEXRAD Layer */\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/uscomp/n0r_%s.png\",\n $radts->format(\"Y/m/d\"),\n $radts->format(\"YmdHi\"),\n );\n if (is_file($radarfp)) {\n $radar = $map->getLayerByName(\"nexrad_n0r\");\n $radar->__set(\"status\", MS_ON);\n $radar->__set(\"data\", $radarfp);\n $radar->draw($map, $img);\n }\n\n $counties = $map->getLayerByName(\"uscounties\");\n if (($extents[2] - $extents[0]) > 5) {\n $counties->__set(\"status\", MS_OFF);\n } else {\n $counties->__set(\"status\", MS_ON);\n }\n $counties->draw($map, $img);\n\n $states = $map->getLayerByName(\"states\");\n $states->__set(\"status\", MS_ON);\n $states->draw($map, $img);\n\n $bar640t = $map->getLayerByName(\"bar640t\");\n $bar640t->__set(\"status\", 1);\n\n $tlayer = $map->getLayerByName(\"bar640t-title\");\n $point = new pointObj();\n $point->setXY(2, 12);\n $point->draw($map, $tlayer, $img, 1, \"$year\");\n\n $map->drawLabelCache($img);\n\n $y0 = intval($i / $cols) * ($theight + 3) + $header;\n $x0 = ($i % $cols) * ($twidth + 3) + 3;\n $gdimg_src = imagecreatefromstring($img->getBytes());\n imagecopy(\n $gdimg_dest,\n $gdimg_src,\n $x0,\n $y0,\n 0, 0, $twidth, $theight,\n );\n imagedestroy($gdimg_src);\n $i += 1;\n}\nheader(\"Content-type: image/png\");\necho imagepng($gdimg_dest);\n" }, { "path": "htdocs/GIS/radmap.php", "content": " array(),\n \"subtitle\" => \"\"\n);\n\nfunction draw_header($map, $img, $width, $height)\n{\n /*\n * Draw the black bar at the top of the screen\n */\n $layer = new LayerObj($map);\n $layer->status = MS_ON;\n $layer->type = MS_LAYER_POLYGON;\n $layer->transform = MS_OFF;\n $wkt = \"POLYGON((0 0, 0 $height, $width $height, $width 0, 0 0))\";\n $shp = shapeObj::fromWKT($wkt);\n $layer->addFeature($shp);\n\n $layerc0 = new ClassObj($layer);\n $layerc0s0 = new StyleObj($layerc0);\n $layerc0s0->color->setRGB(0, 0, 0);\n $layer->draw($map, $img);\n}\n\n/**\n * Get a filename and timestamp for the given inbound timestamp and prod\n *\n * @param DateTime $ts\n * @param string $product\n *\n * @return array (filename, timestamp)\n */\nfunction get_goes_fn_and_time($ts, $product)\n{\n $domain = Array(\"WV\", \"IR\", \"VIS\");\n if (!in_array($product, $domain)) {\n return array(NULL, NULL);\n }\n $base = \"/mesonet/ARCHIVE/data/\";\n // clone the timestamp\n $lts = clone $ts;\n // Rectify the timestamp back to the nearest 5 minutes\n $mins = intval($lts->format(\"i\")) % 5;\n if ($mins > 0) {\n $lts->sub(new DateInterval(\"PT{$mins}M\"));\n }\n // Now we search backwards for up to 60 minutes\n for ($i = 0; $i < 12; $i++) {\n if ($i > 0) {\n $lts->sub(new DateInterval(\"PT5M\"));\n }\n $testfn = sprintf(\n \"%s%s/GIS/sat/conus_goes_%s4km_%s.tif\",\n $base,\n $lts->format(\"Y/m/d\"),\n strtolower($product),\n $lts->format(\"Hi\"),\n );\n if (is_file($testfn)) {\n return array($testfn, $lts);\n }\n }\n return array(NULL, NULL);\n}\n\nfunction get_ridge_fn_and_time($ts, $radar, $product)\n{\n /*\n * Return a filename or NULL for a requested RIDGE Product and time\n * using a crude search algorithm\n */\n $base = \"/mesonet/ARCHIVE/data/\";\n for ($i = 0; $i < 10; $i++) {\n foreach (array(1, -1) as $mul) {\n $lts = clone $ts;\n if ($i < 0) $lts->sub(new DateInterval(\"PT{$i}M\"));\n else $lts->add(new DateInterval(\"PT{$i}M\"));\n $testfn = $base . $lts->format(\"Y/m/d\") . \"/GIS/ridge/$radar/$product/{$radar}_{$product}_\" .\n $lts->format(\"YmdHi\") . \".png\";\n if (is_file($testfn)) {\n return array($testfn, $lts);\n }\n }\n }\n return array(NULL, NULL);\n}\n\n$sectors = array(\n \"iem\" => array(\"epsg\" => 4326, \"ext\" => array(-100.0, 38.5, -88.0, 46.5)),\n \"lot\" => array(\"epsg\" => 4326, \"ext\" => array(-94.8, 39.0, -83.5, 46.5)),\n \"ict\" => array(\"epsg\" => 4326, \"ext\" => array(-102.4, 35.45, -94.4, 40.35)),\n \"sd\" => array(\"epsg\" => 4326, \"ext\" => array(-105.5, 40.5, -95.5, 48.0)),\n \"hun\" => array(\"epsg\" => 4326, \"ext\" => array(-90.0, 32.0, -84.0, 36.0)),\n \"conus\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(-2110437, -2251067, 2548326, 1239063)\n ),\n \"texas\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(-532031.375, -2133488, 723680.125, -959689.625)\n ),\n \"etexas\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(-132031.375, -1933488, 623680.125, -1259689.625)\n ),\n \"florida\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(1184257, -2271667, 2198502, -1189456)\n ),\n \"maine\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(2201008.54544837, 209411.348773363, 2516387.56069489, 732383.197334035)\n ),\n \"michigan\" => array(\n \"epsg\" => 26915,\n \"ext\" => array(697867.530690471, 4641622.22153389, 1363156.86711036, 5347664.58607328)\n ),\n \"washington\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(-1816611.94664531, 247411.313142634, -1231350.67314885, 688254.98213837)\n ),\n \"california\" => array(\n \"epsg\" => 2163,\n \"ext\" => array(-2031905.01470961, -1244659.20932869, -1296945.03256045, -39583.1960413812)\n ),\n);\n\n\n/* Setup layers */\n$layers = array_key_exists(\"layers\", $_GET) ? $_GET[\"layers\"] : array(\"n0q\");\n// Make sure layers is an array...\nif (gettype($layers) == \"string\") {\n $layers = array($layers);\n}\n\n// Alias for visual plot of VTEC\nif (array_key_exists(\"visual\", $_GET) && array_key_exists(\"wfo\", $_GET)){\n $layers = array(\"legend\", \"ci\", \"cbw\", \"sbw\", \"uscounties\", \"bufferedlsr\");\n}\n\n/* Straight CGI Butter */\n$sector = get_str404(\"sector\", \"iem\");\nif (!array_key_exists($sector, $sectors)){\n $opts = implode(\", \", array_keys($sectors));\n die(\"Invalid sector provided, available: {$opts}\");\n}\n$width = get_int404(\"width\", 640);\n$height = get_int404(\"height\", 480);\n$lsrbuffer = get_int404(\"lsrbuffer\", 15);\n\n// Now, maybe we set a VTEC string, lets do all sorts of fun\n$vtec_limiter = \"\";\nif (array_key_exists(\"vtec\", $_GET)) {\n $cvtec = xssafe($_GET[\"vtec\"]);\n // cull errand _\n $pos = strpos($cvtec, \"_\");\n if ($pos !== false) {\n $cvtec = substr($cvtec, 0, $pos);\n }\n // we may have gotten here with '-' or '.' in vtec string, rectify\n $cvtec = str_replace(\"-\", \".\", strtoupper($cvtec));\n $tokens = explode(\".\", $cvtec);\n if (sizeof($tokens) == 7) {\n list(\n $year, $pclass, $status, $wfo, $phenomena, $significance,\n $eventid\n ) = explode(\".\", $cvtec);\n } else {\n list(\n $year, $wfo, $phenomena, $significance,\n $eventid\n ) = explode(\".\", $cvtec);\n }\n $eventid = intval($eventid);\n $year = intval($year);\n if ($year < 1980 || $year > 2030){\n xssafe(\"\");\n }\n $wfo = substr($wfo, 1, 3);\n // Try to find this warning as a polygon first, then look at warnings table\n $sql = << 4326, \"ext\" => array($x0, $y0, $x1, $y1));\n\n // Now the concern here is what to do with the valid time of this plot\n // If now() is less than event end, set the plot time to now\n $dts = new DateTime($row[\"v\"], new DateTimeZone(\"UTC\"));\n $dts2 = new DateTime($row[\"e\"], new DateTimeZone(\"UTC\"));\n $aa = new DateTime('now', new DateTimeZone('UTC'));\n if ($dts2 > $aa) {\n $dts = new DateTime('now', new DateTimeZone('UTC'));\n }\n\n $vtec_limiter = sprintf(\n \"and phenomena = '%s' and eventid = %s and\n significance = '%s' and w.wfo = '%s'\",\n $phenomena,\n $eventid,\n $significance,\n $wfo\n );\n if ($row[\"gtype\"] == 'P') {\n $layers[] = 'sbw';\n } else {\n $layers[] = 'cbw';\n }\n}\nif (array_key_exists(\"pid\", $_REQUEST)) {\n $pid = $_REQUEST[\"pid\"];\n $dts = DateTime::createFromFormat(\n \"YmdHi\",\n substr($_GET[\"pid\"], 0, 12),\n new DateTimeZone(\"UTC\"),\n );\n /* First, we query for a bounding box please */\n $stname = iem_pg_prepare(\n $postgis,\n \"SELECT ST_xmax(ST_extent(geom)) as x1, ST_xmin(ST_extent(geom)) as x0, \"\n . \"ST_ymin(ST_extent(geom)) as y0, ST_ymax(ST_extent(geom)) as y1 \"\n . \"from sps WHERE product_id = $1\"\n );\n $result = pg_execute($postgis, $stname, array($pid));\n $row = pg_fetch_assoc($result, 0);\n $lpad = 0.5;\n $y1 = $row[\"y1\"] + $lpad;\n $y0 = $row[\"y0\"] - $lpad;\n $x1 = $row[\"x1\"] + $lpad;\n $x0 = $row[\"x0\"] - $lpad;\n $xc = $x0 + ($row[\"x1\"] - $row[\"x0\"]) / 2;\n $yc = $y0 + ($row[\"y1\"] - $row[\"y0\"]) / 2;\n $sector = \"custom\";\n $sectors[\"custom\"] = array(\"epsg\" => 4326, \"ext\" => array($x0, $y0, $x1, $y1));\n}\n\n/* Could define a custom box */\nif (array_key_exists(\"bbox\", $_GET)) {\n $sector = \"custom\";\n $bbox = explode(\",\", $_GET[\"bbox\"]);\n if (sizeof($bbox) != 4){\n xssafe(\"\");\n }\n $sectors[\"custom\"] = array(\"epsg\" => 4326, \"ext\" => $bbox);\n}\n/* Fetch bounds based on wfo as being set by bounds */\nif ($sector == \"wfo\") {\n $sector_wfo = strtoupper(get_str404(\"sector_wfo\", \"DMX\"));\n /* Fetch the bounds */\n $stname = iem_pg_prepare($postgis, \"SELECT ST_xmax(geom) as xmax, ST_ymax(geom) as ymax, \"\n . \" ST_xmin(geom) as xmin, ST_ymin(geom) as ymin from \"\n . \" (SELECT ST_Extent(geom) as geom from ugcs WHERE \"\n . \" wfo = $1 and end_ts is null) as foo\");\n $rs = pg_execute($postgis, $stname, array($sector_wfo));\n if (pg_num_rows($rs) > 0) {\n $row = pg_fetch_assoc($rs);\n $buffer = 0.25;\n $sectors[\"wfo\"] = array(\n \"epsg\" => 4326,\n \"ext\" => array(\n $row[\"xmin\"] - $buffer, $row[\"ymin\"] - $buffer,\n $row[\"xmax\"] + $buffer, $row[\"ymax\"] + $buffer\n )\n );\n }\n}\n\n/* Lets determine our timestamp. Our options include\n 1. Specified by URI, $ts\n 2. They specified a VTEC string, use that\n 3. Nothing specified, realtime!\n*/\n\n$utcnow = new DateTime('now', new DateTimeZone(\"UTC\"));\n$ts = array_key_exists(\"ts\", $_GET) ? DateTime::createFromFormat(\"YmdHi\", $_GET[\"ts\"], new DateTimeZone(\"UTC\")) : $utcnow;\nif (is_bool($ts)) xssafe(\"\");\n$ts1 = array_key_exists(\"ts1\", $_GET) ? DateTime::createFromFormat(\"YmdHi\", $_GET[\"ts1\"], new DateTimeZone(\"UTC\")) : null;\n$ts2 = array_key_exists(\"ts2\", $_GET) ? DateTime::createFromFormat(\"YmdHi\", $_GET[\"ts2\"], new DateTimeZone(\"UTC\")) : null;\nif (isset($dts) && !array_key_exists(\"ts\", $_GET)) {\n $ts = clone $dts;\n}\nif (is_null($ts1)) {\n $ts1 = clone $ts;\n}\nif (isset($dts2) && !array_key_exists(\"ts2\", $_GET)) {\n $ts2 = clone $dts2;\n}\n/* Make sure we have a minute %5 */\n$radts = clone $ts;\n$mins = intval($ts->format(\"i\")) % 5;\nif ($mins > 0) {\n $radts->sub(new DateInterval(\"PT{$mins}M\"));\n}\n\n/* Lets Plot stuff already! */\n$mapFile = \"../../data/gis/base\" . $sectors[$sector]['epsg'] . \".map\";\n$map = new mapObj($mapFile);\n$map->setSize($width, $height);\n$map->setExtent(\n $sectors[$sector]['ext'][0],\n $sectors[$sector]['ext'][1],\n $sectors[$sector]['ext'][2],\n $sectors[$sector]['ext'][3]\n);\nif (in_array(\"n0q\", $layers) || in_array(\"ridge\", $layers) || in_array(\"prn0q\", $layers) || in_array(\"akn0q\", $layers) || in_array(\"hin0q\", $layers)) {\n $map->selectOutputFormat(\"png24\");\n}\n\n$img = $map->prepareImage();\n\n$namerica = $map->getLayerByName(\"namerica\");\n$namerica->status = MS_ON;\n$namerica->draw($map, $img);\n\n$lakes = $map->getLayerByName(\"lakes\");\n$lakes->status = MS_ON;\n$lakes->draw($map, $img);\n\n$places = $map->getLayerByName(\"places2010\");\n$places->status = in_array(\"places\", $layers);\n$places->draw($map, $img);\n\nif (in_array(\"goes\", $layers) && array_key_exists(\"goes_product\", $_REQUEST)) {\n $res = get_goes_fn_and_time(\n $ts,\n strtoupper($_REQUEST[\"goes_product\"])\n );\n if (!is_null($res[0])) {\n $glayer = new LayerObj($map);\n $glayer->status = MS_ON;\n $glayer->data = $res[0];\n $glayer->type = MS_LAYER_RASTER;\n $glayer->draw($map, $img);\n\n $plotmeta[\"subtitle\"] .= sprintf(\n \" CONUS GOES %s %s \",\n $_REQUEST[\"goes_product\"],\n $res[1]->format(\"H:i e\")\n );\n } else {\n $plotmeta[\"subtitle\"] .= sprintf(\n \" CONUS GOES %s Unavailable \",\n $_REQUEST[\"goes_product\"],\n );\n }\n}\n\n\nif (in_array(\"nexrad\", $layers) || in_array(\"nexrad_tc\", $layers) || in_array(\"nexrad_tc6\", $layers)) {\n $radarfp = \"/mesonet/ldmdata/gis/images/4326/USCOMP/n0r_0.tif\";\n $tss = clone $ts;\n $tss->add(new DateInterval(\"PT5M\"));\n if ($tss < $utcnow) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/uscomp/n0r_%s.png\",\n $radts->format(\"Y/m/d\"),\n $radts->format(\"YmdHi\"),\n );\n }\n if (in_array(\"nexrad_tc\", $layers)) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/uscomp/max_n0r_0z0z_%s.png\",\n $ts->format(\"Y/m/d\"),\n $ts->format(\"Ymd\"),\n );\n }\n if (in_array(\"nexrad_tc6\", $layers)) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/uscomp/max_n0r_6z6z_%s.png\",\n $ts->format(\"Y/m/d\"),\n $ts->format(\"Ymd\"),\n );\n }\n if (is_file($radarfp)) {\n $radar = $map->getLayerByName(\"nexrad_n0r\");\n $radar->status = MS_ON;\n $radar->data = $radarfp;\n $radar->draw($map, $img);\n }\n}\n\n/* Draw NEXRAD Layer */\n$prefixes = array(\"\" => \"us\", \"ak\" => \"ak\", \"pr\" => \"pr\", \"hi\" => \"hi\");\nforeach ($prefixes as $p1 => $p2) {\n if (in_array(\"{$p1}n0q\", $layers) || in_array(\"{$p1}n0q_tc\", $layers) || in_array(\"{$p1}n0q_tc6\", $layers)) {\n $radarfp = sprintf(\"/mesonet/ldmdata/gis/images/4326/%sCOMP/n0q_0.png\", strtoupper($p2));\n $tss = clone $ts;\n $tss->add(new DateInterval(\"PT5M\"));\n if ($tss < $utcnow) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/%scomp/n0q_%s.png\",\n $radts->format(\"Y/m/d\"),\n $p2,\n $radts->format(\"YmdHi\"),\n );\n }\n if (in_array(\"{$p1}n0q_tc\", $layers)) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/%scomp/max_n0q_0z0z_%s.png\",\n $ts->format(\"Y/m/d\"),\n $p2,\n $ts->format(\"Ymd\"),\n );\n }\n if (in_array(\"{$p1}n0q_tc6\", $layers)) {\n $radarfp = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/%scomp/max_n0q_6z6z_%s.png\",\n $ts->format(\"Y/m/d\"),\n $p2,\n $ts->format(\"Ymd\"),\n );\n }\n if (is_file($radarfp)) {\n $radar = $map->getLayerByName(\"nexrad_n0q\");\n $radar->status = MS_ON;\n $radar->data = $radarfp;\n $radar->draw($map, $img);\n }\n break;\n }\n}\n\n\nif (\n in_array(\"ridge\", $layers) && array_key_exists(\"ridge_radar\", $_REQUEST) &&\n array_key_exists(\"ridge_product\", $_REQUEST)\n) {\n $res = get_ridge_fn_and_time(\n $ts,\n strtoupper($_REQUEST[\"ridge_radar\"]),\n strtoupper($_REQUEST[\"ridge_product\"])\n );\n if ($res[0] != NULL) {\n $radar = $map->getLayerByName(\"nexrad_n0q\");\n $radar->status = MS_ON;\n $radar->data = $res[0];\n $radar->draw($map, $img);\n $plotmeta[\"subtitle\"] .= sprintf(\n \" RIDGE %s %s %s \",\n $_REQUEST[\"ridge_radar\"],\n $_REQUEST[\"ridge_product\"],\n $res[1]->format(\"h:i A e\")\n );\n }\n}\n\n$states = $map->getLayerByName(\"states\");\n$states->status = MS_ON;\n$states->draw($map, $img);\n\n/* All SBWs for a WFO */\nif (in_array(\"allsbw\", $layers) && array_key_exists(\"sector_wfo\", $_REQUEST)) {\n $sbwh = $map->getLayerByName(\"allsbw\");\n $sbwh->status = MS_ON;\n $sbwh->connection = get_dbconn_str(\"postgis\");\n $sql = sprintf(\n \"geom from (select phenomena, geom, random() as oid from sbw \"\n . \"WHERE significance = 'W' and status = 'NEW' and wfo = '%s' and \"\n . \"phenomena in ('SV') \"\n . \"and issue > '2007-10-01') as foo \"\n . \"using unique oid using SRID=4326\",\n $sector_wfo\n );\n $sbwh->data = $sql;\n $sbwh->draw($map, $img);\n}\n$counties = $map->getLayerByName(\"uscounties\");\n$counties->status = in_array(\"uscounties\", $layers);\n$counties->draw($map, $img);\n\n$cwas = $map->getLayerByName(\"cwas\");\n$cwas->status = in_array(\"cwas\", $layers);\n$cwas->draw($map, $img);\n\n$cwsu = $map->getLayerByName(\"cwsu\");\n$cwsu->status = in_array(\"cwsu\", $layers);\n$cwsu->draw($map, $img);\n\n/* Buffered LSRs */\nif (in_array(\"bufferedlsr\", $layers)) {\n $blsr = new LayerObj($map);\n $blsr->setConnectionType(MS_POSTGIS, \"\");\n $blsr->connection = get_dbconn_str(\"postgis\");\n $blsr->status = in_array(\"bufferedlsr\", $layers);\n $sql = \"geo from (select distinct city, magnitude, valid, \"\n . \"ST_Transform(ST_Buffer(ST_Transform(geom,9311),{$lsrbuffer}000),4326) as geo, \"\n . \"type as ltype, city || magnitude || ST_x(geom) || ST_y(geom) as k \"\n . \"from lsrs WHERE \"\n . \"ST_Overlaps((select geom from sbw_\" . $ts->format(\"Y\") . \" WHERE \"\n . \"wfo = '$wfo' and phenomena = '$phenomena' and \"\n . \"significance = '$significance' and eventid = $eventid \"\n . \"and status = 'NEW' LIMIT 1), \"\n . \"ST_Transform(ST_Buffer(ST_Transform(geom,9311),{$lsrbuffer}000),4326) \"\n . \") and \"\n . \"valid >= '\" . $ts->format(\"Y-m-d H:i\") . \"' and \"\n . \"valid < '\" . $ts2->format(\"Y-m-d H:i\") . \"' and \"\n . \"((type = 'M' and magnitude >= 34) or \"\n . \"(type = 'H' and magnitude >= 0.75) or type = 'W' or \"\n . \"type = 'T' or (type = 'G' and magnitude >= 58) or type = 'D' \"\n . \"or type = 'F') ORDER by valid DESC) as foo \"\n . \"USING unique k USING SRID=4326\";\n $blsr->data = $sql;\n $blsr->type = MS_LAYER_POLYGON;\n $blsr->setProjection(\"init=epsg:4326\");\n $blc0 = new ClassObj($blsr);\n $blc0->name = \"Buffered LSRs ({$lsrbuffer} km)\";\n $blc0s0 = new StyleObj($blc0);\n //$blc0s0->set(\"symbolname\", \"circle\");\n $blc0s0->color->setRGB(0, 0, 0);\n $blc0s0->outlinecolor->setRGB(50, 50, 50);\n $blsr->draw($map, $img);\n}\n\n/* Watch by County */\n$wbc = $map->getLayerByName(\"watch_by_county\");\n$wbc->status = in_array(\"watch_by_county\", $layers);\n$wbc->connection = get_dbconn_str(\"postgis\");\n$sql = sprintf(\n \"g from (select phenomena, eventid, \" .\n \"ST_buffer(ST_collect(u.simple_geom), 0) as g \" .\n \"from warnings w JOIN ugcs u \" .\n \"on (u.gid = w.gid) WHERE \" .\n \"significance = 'A' and phenomena IN ('TO','SV') and \" .\n \"issue <= '%s:00+00' and expire > '%s:00+00' \" .\n \"GROUP by phenomena, eventid ORDER by phenomena ASC) as foo \" .\n \"using SRID=4326 using unique phenomena\",\n $ts->format(\"Y-m-d H:i\"),\n $ts->format(\"Y-m-d H:i\")\n);\n$wbc->data = $sql;\n$wbc->draw($map, $img);\n\n$watches = $map->getLayerByName(\"watches\");\n$watches->status = in_array(\"watches\", $layers);\n$watches->connection = get_dbconn_str(\"postgis\");\n$sql = sprintf(\n \"geom from (select type as wtype, geom, num from watches \"\n . \"WHERE issued <= '%s:00+00' and expired > '%s:00+00') as foo \"\n . \"using SRID=4326 using unique num\",\n $ts->format(\"Y-m-d H:i\"),\n $ts->format(\"Y-m-d H:i\")\n);\n$watches->data = $sql;\n$watches->draw($map, $img);\n\n/* Plot the warning explicitly */\nif (isset($_REQEST[\"pid\"])) {\n $wc = new LayerObj($map);\n $wc->setConnectionType(MS_POSTGIS, \"\");\n $wc->connection = get_dbconn_str(\"postgis\");\n $wc->status = MS_ON;\n $sql = sprintf(\"geom from (select geom, product_id from sps \"\n . \"WHERE product_id = '$pid') as foo using unique product_id using SRID=4326\");\n $wc->data = $sql;\n $wc->type = MS_LAYER_LINE;\n $wc->setProjection(\"init=epsg:4326\");\n\n $wcc0 = new ClassObj($wc);\n $wcc0->name = \"Product\";\n $wcc0s0 = new StyleObj($wcc0, 'circle');\n $wcc0s0->color->setRGB(255, 0, 0);\n $wcc0s0->size = 3;\n $wc->draw($map, $img);\n}\n\n\n// Draws the county-based VTEC warning, only if \"cbw\" in $layers\nif (array_key_exists(\"vtec\", $_REQUEST) && in_array(\"cbw\", $layers)) {\n $wc = new LayerObj($map);\n $wc->setConnectionType(MS_POSTGIS, \"\");\n $wc->connection = get_dbconn_str(\"postgis\");\n $wc->status = MS_ON;\n $sql = sprintf(\"geom from (select eventid, w.wfo, significance, \"\n . \"phenomena, u.geom, random() as oid from warnings w JOIN ugcs u \"\n . \"on (u.gid = w.gid) WHERE w.vtec_year = $year and w.wfo = '$wfo' \"\n . \"and phenomena = '$phenomena' and significance = '$significance' \"\n . \"and eventid = $eventid ORDER by phenomena ASC) as foo \"\n . \"using unique oid using SRID=4326\");\n $wc->data = $sql;\n $wc->type = MS_LAYER_LINE;\n $wc->setProjection(\"init=epsg:4326\");\n\n $wcc0 = new ClassObj($wc);\n $wcc0->name = $vtec_phenomena[$phenomena] . \" \" . $vtec_significance[$significance];\n $wcc0s0 = new StyleObj($wcc0);\n $wcc0s0->color->setRGB(255, 0, 0);\n $wcc0s0->width = 3;\n //$wcc0s0->symbol = 'circle';\n $wc->draw($map, $img);\n}\n\n/* Storm based warning history, plotted as a white outline, I think */\nif (in_array(\"sbwh\", $layers) && intval($ts->format(\"Y\")) > 2001) {\n $ptext = \"'ZZ' as phenomena\";\n $sbwh = $map->getLayerByName(\"sbw\");\n $sbwh->status = MS_ON;\n $sbwh->connection = get_dbconn_str(\"postgis\");\n $sql = sprintf(\n \"geom from (select %s, geom, random() as oid from sbw_%s w \"\n . \"WHERE significance != 'A' and polygon_begin <= '%s:00+00' and \"\n . \"polygon_end > '%s:00+00' \"\n . \"%s) as foo using unique oid using SRID=4326\",\n $ptext,\n $ts->format(\"Y\"),\n $ts->format(\"Y-m-d H:i\"),\n $ts->format(\"Y-m-d H:i\"),\n $vtec_limiter\n );\n $sbwh->data = $sql;\n $sbwh->draw($map, $img);\n}\n\n/* Storm Based Warning */\nif (in_array(\"sbw\", $layers) && intval($ts->format(\"Y\")) > 2001) {\n $ptext = \"phenomena\";\n if (in_array(\"sbw\", $layers) && in_array(\"cbw\", $layers)) {\n $ptext = \"'ZZ' as phenomena\";\n }\n $sbw = $map->getLayerByName(\"sbw\");\n $sbw->status = MS_ON;\n $sbw->connection = get_dbconn_str(\"postgis\");\n $sql = sprintf(\n \"geom from (select %s, geom, random() as oid from sbw_%s w \"\n . \"WHERE significance != 'A' and polygon_begin <= '%s:00+00' \"\n . \"and polygon_end > '%s:00+00' \"\n . \"%s) as foo using unique oid using SRID=4326\",\n $ptext,\n $ts->format(\"Y\"),\n $ts->format(\"Y-m-d H:i\"),\n $ts->format(\"Y-m-d H:i\"),\n $vtec_limiter\n );\n $sbw->data = $sql;\n $sbw->draw($map, $img);\n}\n\n/* warnings by county */\n$w0c = $map->getLayerByName(\"warnings0_c\");\n$w0c->connection = get_dbconn_str(\"postgis\");\n$w0c->status = in_array(\"county_warnings\", $layers);\n$sql = sprintf(\n \"geom from (select u.geom, phenomena, significance, \"\n . \"random() as oid from warnings_%s w JOIN ugcs u on (u.gid = w.gid) \"\n . \"WHERE issue <= '%s:00+00' and expire > '%s:00+00' %s \"\n . \"ORDER by phenomena ASC) as foo using unique oid using SRID=4326\",\n $ts->format(\"Y\"),\n $ts->format(\"Y-m-d H:i\"),\n $ts->format(\"Y-m-d H:i\"),\n $vtec_limiter\n);\n$w0c->data = $sql;\n$w0c->draw($map, $img);\n\n/* Local Storm Reports */\n$lsrs = $map->getLayerByName(\"lsrs\");\n$lsrs->connection = get_dbconn_str(\"postgis\");\n$lsrs->status = in_array(\"lsrs\", $layers);\nif ($ts2 > $ts1) {\n $sql = \"geom from (select distinct city, magnitude, valid, geom, \"\n . \"type as ltype, city || magnitude || ST_x(geom) || ST_y(geom) as k \"\n . \"from lsrs WHERE \"\n . \"valid >= '\" . $ts1->format(\"Y-m-d H:i\") . \":00+00' and \"\n . \"valid < '\" . $ts2->format(\"Y-m-d H:i\") . \":00+00' \"\n . \"ORDER by valid DESC) as foo USING unique k USING SRID=4326\";\n} else {\n $sql = \"geom from (select distinct city, magnitude, valid, geom, \"\n . \"type as ltype, city || magnitude || ST_x(geom) || ST_y(geom) as k \"\n . \"from lsrs WHERE \"\n . \"valid = '\" . $ts->format(\"Y-m-d H:i\") . \":00+00') as foo \"\n . \"USING unique k USING SRID=4326\";\n}\n$lsrs->data = $sql;\n$lsrs->draw($map, $img);\n\n/* County Intersection */\nif (in_array(\"ci\", $layers)) {\n $ci = new LayerObj($map);\n $ci->setConnectionType(MS_POSTGIS, \"\");\n $ci->connection = get_dbconn_str(\"postgis\");\n $ci->status = in_array(\"ci\", $layers);\n $tblyr = $ts->format(\"Y\");\n $sql = <<data = $sql;\n $ci->type = MS_LAYER_LINE;\n $ci->setProjection(\"init=epsg:4326\");\n $cic0 = new ClassObj($ci);\n $cic0->name = \"County Intersection\";\n $cic0s0 = new StyleObj($cic0);\n $cic0s0->color->setRGB(250, 0, 250);\n $cic0s0->width = 5;\n $ci->draw($map, $img);\n}\n\n/* Interstates */\n$interstates = $map->getLayerByName(\"interstates\");\n$interstates->status = in_array(\"interstates\", $layers);\n$interstates->draw($map, $img);\n\n/* roads */\n$roads = $map->getLayerByName(\"roads\");\n$roads->connection = get_dbconn_str(\"postgis\");\n$roads->status = in_array(\"roads\", $layers);\n$roads->draw($map, $img);\n\n/* roads */\n$roadsint = $map->getLayerByName(\"roads-inter\");\n$roadsint->connection = get_dbconn_str(\"postgis\");\n$roadsint->status = in_array(\"roads-inter\", $layers);\n$roadsint->draw($map, $img);\n\nif (in_array(\"usdm\", $layers)) {\n $usdm = $map->getLayerByName(\"usdm\");\n $usdm->status = MS_ON;\n $usdm->draw($map, $img);\n}\n\nif (in_array(\"cities\", $layers)) {\n $l = $map->getLayerByName(\"cities\");\n $l->status = MS_ON;\n $l->draw($map, $img);\n}\n\nif (in_array(\"surface\", $layers)) {\n $surface = $map->getLayerByName(\"surface\");\n $surface->status = MS_ON;\n $surface->draw($map, $img);\n}\nif (in_array(\"airtemps\", $layers)) {\n $airtemps = $map->getLayerByName(\"airtemps\");\n $airtemps->status = MS_ON;\n if ($width > 800) {\n for ($i = 0; $i < $airtemps->numclasses; $i++) {\n $cl = $airtemps->getClass($i);\n $cllabel = $cl->getLabel(0);\n $cllabel->size = 20;\n }\n }\n $airtemps->draw($map, $img);\n}\n\n$tlayer = $map->getLayerByName(\"bar640t-title\");\n$point = new pointobj();\n$point->setXY(80, 15);\n$tzformat = \"d M Y h:i A T\";\n$tzinfo = get_str404(\"tz\", \"America/Chicago\");\n// Translate to ZoneInfo compat\nif ($tzinfo == 'MDT' || $tzinfo == 'MST') {\n $tzinfo = \"America/Denver\";\n} elseif ($tzinfo == 'PDT' || $tzinfo == 'PST') {\n $tzinfo = \"America/Los_Angeles\";\n} elseif ($tzinfo == 'CDT' || $tzinfo == 'CST') {\n $tzinfo = \"America/Chicago\";\n} elseif ($tzinfo == 'EDT' || $tzinfo == 'EST') {\n $tzinfo = \"America/New_York\";\n}\nif ($tzinfo == 'UTC') {\n $tzformat = \"d M Y H:i T\";\n}\n$lts = clone $ts;\n$lts->settimezone(new DateTimeZone($tzinfo));\n$d = $lts->format($tzformat);\n$tomorrow = clone $ts;\n$tomorrow->add(new DateInterval(\"P1D\"));\nif (array_key_exists(\"title\", $_GET)) {\n $title = substr($_GET[\"title\"], 0, 100);\n} else if (array_key_exists(\"vtec\", $_GET)) {\n $title = \"VTEC ID: \" . $_GET[\"vtec\"];\n} else if (in_array(\"nexrad\", $layers)) {\n $title = \"NEXRAD Base Reflectivity\";\n} else if (in_array(\"n0q\", $layers) || in_array(\"akn0q\", $layers) || in_array(\"hin0q\", $layers) || in_array(\"prn0q\", $layers)) {\n $title = \"NEXRAD Base Reflectivity\";\n} else if (in_array(\"n0q_tc\", $layers)) {\n $title = \"IEM NEXRAD Daily N0Q Max Base Reflectivity\";\n $d = sprintf(\n \"Valid between %s 00:00 and 23:59 UTC\",\n $ts->format(\"d M Y\")\n );\n} else if (in_array(\"n0q_tc6\", $layers)) {\n $title = \"IEM NEXRAD 24 Hour N0Q Max Base Reflectivity\";\n $d = sprintf(\n \"Valid between %s 06:00 and %s 05:55 UTC\",\n $ts->format(\"d M Y\"),\n $tomorrow->format(\"d M Y\")\n );\n} else if (in_array(\"nexrad_tc\", $layers)) {\n $title = \"IEM NEXRAD Daily N0R Max Base Reflectivity\";\n $d = sprintf(\n \"Valid between %s 00:00 and 23:59 UTC\",\n $ts->format(\"d M Y\")\n );\n} else if (in_array(\"nexrad_tc6\", $layers)) {\n $title = \"IEM NEXRAD 24 Hour N0R Max Base Reflectivity\";\n $d = sprintf(\n \"Valid between %s 06:00 and %s 05:55 UTC\",\n $ts->format(\"d M Y\"),\n $tomorrow->format(\"d M Y\")\n );\n} else {\n $title = \"IEM Plot\";\n if ($plotmeta[\"subtitle\"] != \"\") {\n $title = $plotmeta[\"subtitle\"];\n $plotmeta[\"subtitle\"] = \"\";\n }\n}\n\n// Flush all the labels to the plot prior to doing headers and legends\n$map->drawLabelCache($img);\n\n$header_height = ($plotmeta[\"subtitle\"] == \"\") ? 36 : 53;\ndraw_header($map, $img, $width, $header_height);\n\n$point->draw($map, $tlayer, $img, 0, $title);\n\n$point = new pointobj();\n$point->setXY(80, 32);\n$point->draw($map, $tlayer, $img, 1, \"$d\");\nif ($plotmeta[\"subtitle\"] != \"\") {\n $point = new pointobj();\n $point->setXY(80, 47);\n $point->draw($map, $tlayer, $img, 1, $plotmeta[\"subtitle\"]);\n}\n\n\n$layer = $map->getLayerByName(\"logo\");\n$point = new pointobj();\n$point->setXY(42, 32);\n$point->draw($map, $layer, $img, 0, \"\");\n\nif (in_array(\"nexrad\", $layers) || in_array(\"nexrad_tc\", $layers) || in_array(\"nexrad_tc6\", $layers)) {\n $layer = $map->getLayerByName(\"n0r-ramp\");\n $point = new pointobj();\n $point->setXY(($width - 80), 15);\n $point->draw($map, $layer, $img, 0, \"\");\n}\nif (in_array(\"n0q\", $layers) || in_array(\"n0q_tc\", $layers) || in_array(\"n0q_tc6\", $layers) || in_array(\"hin0q\", $layers) || in_array(\"akn0q\", $layers) || in_array(\"prn0q\", $layers)) {\n $layer = $map->getLayerByName(\"n0q-ramp\");\n $point = new pointobj();\n $point->setXY(($width - 130), 18);\n $point->draw($map, $layer, $img, 0, \"\");\n}\n\nif (in_array(\"legend\", $layers)) {\n $map->embedLegend($img);\n}\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/radmap_api.phtml", "content": "title = \"RadMap API\";\n$t->content = <<\ndiv.item h4 {\n color: #f00;\n border-bottom: 1px solid #ccc;\n margin-bottom: 1px;\n}\ndiv.desc {\n margin-left: 20px;\n}\n\n\n\n

    IEM RadMap API

    \n\n
    Please note: This mapping service is\nprovided without warranty. Please do not use this on a high traffic website.\nIf necessary, this application may be disabled to keep the IEM web farm from\nmelting! This API is intended to support local scripts to generate timelapse\nmovies.\n
    \n\n

    The \"radmap\" application dynamically generates a PNG image based on a set\nof HTTP provided parameters. This page documents these parameters. Please note\nthat the API presented here may change in the future.\n\n

    Basic HTML example:

    \n
    \n<img src=\"{$EXTERNAL_BASEURL}/GIS/radmap.php?layers[]=nexrad&sector=conus&ts=200806071000\" />\n
    \n\"radmap\n\n

    HTTP GET Parameters

    \n
    \n

    &layers[]=...&layers[]=...&...

    \n
    \n Layer(s) to draw in the map. Here is a list of available layers:\n
      \n
    • airtemps - Realtime Only Plot 2 meter air \n temperatures in Fahrenheit.
      • \n
    • cbw - County/Zone based Watch/Warning/Advisories
      • \n
    • county_warnings - County based Warnings
      • \n
    • cwas - National Weather Service County Warning Area (CWA)
      • \n
    • goes - GOES Satellite imagery, you\n also need to specify the product as a seperate \n CGI variable. [2]\n
        \n
      • goes_product VIS for visible, IR for infrared, and WV for water\n vapor
        • \n
      \n
      • \n
    • interstates - Interstate Roadways
      • \n
    • legend - Include Legend on the Map
      • \n
    • lsrs - Local Storm Reports [1]
      • \n
    • nexrad - CONUS Nexrad Base Reflectivity Composite [2]
      • \n
    • places - 2010 Census Incorporated Places
      • \n
    • ridge - Single Site NEXRAD/TDWR imagery, you\n also need to specify the RADAR site and level 3 product as two seperate \n CGI variables. [2]\n
        \n
      • ridge_radar 3 character radar identifier
        • \n
      • ridge_product 3 character levelIII product identifier
        • \n
      \n
      • \n
    • roads - Iowa Winter Road Conditions
      • \n
    • sbw - Storm based Watch/Warning/Advisories
      • \n
    • surface - Realtime Only Plot dots for RWIS\n pavement temperatures. See IEM Freeze app.
      • \n
    • uscounties - CONUS Counties
      • \n
    • usdm - United States Drought Monitor (latest only)
      • \n
    • watch_by_county - Convective Watch-by-County
      • \n
    • watches - Polygon SPC Watch boundaries
      • \n
    \n

    [1] Storm reports are plotting valid at the given time (variable ts).\n To specify a time range, set ts1 and ts2 variable to the UTC start\n and end time respectively.\n For example, &ts1=200806071000&ts2=200806071015 to get LSRs\n between 10 and 1015z.

    \n

    [2] Logic is applied to these layers to find the closest imagery to the specified\ntime or the realtime imagery if no time (variable ts) is specified.\n

    \n
    \n\n\n
    \n

    &sector=...

    \n
    \n Predefined areal extent to use for the map. Current sectors are:\n
      \n
    • conus - CONUS
      • \n
    • hun - Northern Alabama
      • \n
    • iem - Iowa
      • \n
    • ict - Wichita, Kansas
      • \n
    • lot - Chicago
      • \n
    • sd - South Dakota
      • \n
    • texas - Texas
      • \n
    • wfo - NWS Weather Forecast Office, if you use this, then you need\n to also set the variable sector_wfo=XXX , where XXX is the 3 char call letters
      • \n
    \n
    \n
    \n\n
    \n

    &width=640&height=480

    \n
    \n Width and height of the map in pixels.\n
    \n
    \n\n
    \n

    &vtec=...

    \n
    \n VTEC identification string of a specific product. The result is a map \n centered on this product with a timestamp set to product issuance. An\n example VTEC string is: \"2008.O.NEW.KDMX.TO.W.0048\".\n
    \n
    \n\n
    \n

    &pid=...

    \n
    \n This is for the specific example of offices who issue geometries with \n their SPS statements. An example string is: \"200903082123-KGRR-WWUS83-SPSGRR\"\n
    \n
    \n\n
    \n

    &bbox=xmin,ymin,xmax,ymax

    \n
    \n Bounding box of the map (typically a latitude and longitude box). An example\n would be \"-95.4,40.1,-89.4,44.5\".\n
    \n
    \n\n
    \n

    &ts=YYYYMMDDHHII

    \n
    \n Timestamp in UTC for which the map is valid for. For example, 6:45 UTC on \n5 Jun 2005 would be \"200506050645\". For the imagery layers, this timestamp is\nused to find the closest imagery in time.\n
    \n
    \n\n
    \n

    &ts1=YYYYMMDDHHII&ts2=YYYYMMDDHHII

    \n
    \n Start and end timestamp in UTC for to look for Local Storm Reports. \n For example, 6:45 UTC on 5 Jun 2005 would be \"200506050645\". If ts1 is not\n specified, it defaults to the value of ts.\n
    \n
    \n\n
    \n

    &title=....

    \n
    \n A customized title to place on the map.\n
    \n
    \n\n
    \n

    &tz=....

    \n
    \n A lame specification of the timezone that should be used for the map. This\n can be only of the following \"UTC, EDT, EST, CDT, CST, MDT, MST, PDT, PST\".\n
    \n
    \n\n\n

    Example Python client script

    \n\n

    Here is an example python script that will call this service and locally\ngenerate a folder of images that can then be converted into a movie.\n
    \n

    \n#!/usr/bin/env python\n\nimport os\nfrom datetime import datetime, timedelta\n\n# Generate series of images between 0z and 12z on the 3rd of August\nnow = datetime(2008, 8, 3, 0, 0)\nets = datetime(2008, 8, 3, 12, 0)\ninterval = timedelta(minutes=5)\n\nbaseuri = \"{$EXTERNAL_BASEURL}/GIS/radmap.php?\"\nbaseuri += \"width=800&height=600&bbox=-95,42.5,-89,45.5\"\nbaseuri += \"&layers[]=uscounties&layers[]=nexrad&layers[]=sbw\"\nbaseuri += \"&layers[]=watch_by_county\"\n\n# Change into a frames folder\nos.chdir(\"frames\")\nstepi = 0\nwhile (now < ets):\n  url = \"%s&ts=%s\" % (baseuri, now.strftime(\"%Y%m%d%H%M\"))\n  cmd = \"wget -q -O %05i.png '%s'\" % (stepi, url )\n  os.system(cmd)\n  stepi += 1\n  now += interval\n\nos.system(\"ffmpeg -y -i %05d.png -b 2000k out.mp4\")\n
    \n\n

    Change Log

    \n
      \n
    • 2 April 2025: Simplified what actually works with regards\n to IEM GOES archive plotting. All the IEM has is a composite of WV, IR, and VIS.
      • \n
    • 22 May 2016: Clarified the Local Storm Reports timestamp\n options.
      • \n
    • 4 May 2012: Add incorporated places as a layer option.
      • \n
    • 14 Apr 2012: Another cleanup and add ridge and GOES\n imagery layers as available plotting options.
      • \n
    • 18 Oct 2011: Cleanup and clarify LSRs.
      • \n
    • 10 Mar 2009: Initial release
      • \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/radview.phtml", "content": "title = \"GIS RADAR Information\";\n$t->content = <<IEM Provided RADAR Information for GIS\n\n

    Our RadView project is an effort to get real time NWS NEXRAD information\ninto GIS applications. We have no magic bullets for getting this information\ninto GIS systems, but have a number of things for you to try out!\n\n

    These services are provided with-out\nwarranty and with \nprogram interfaces that may change or go away!
    \n\n

    Quick links to specific products

    \n
    \n
    \nNEXRAD Mosaic
    \n    \n
    \n
    \n Single RADAR Imagery
    \n    \n
    \n
    \n HRRR Reflectivity Imagery
    \n    \n
    \n
    \nOGC Web Services
    \n    \n
    \n\n
    \n\n

    News:

    \n
      \n
    • 14 Jul 2017: Release the HRRR Model Forecasted Reflectivity services.
      • \n
    • 28 Jan 2012: Release the Single Site NEXRAD services.
      • \n
    • 26 Apr 2004: Add in links for the nationwide mosaics of NTP (storm total precip) and N1P (1 hour precip)!\n
    • 13 Jan 2004: Release the nationwide mosiac WMS!\n
    • 16 Sep 2003: Add US base reflectivity, remove Iowa NTP product.\n
    • 04 Jul 2003: The mosaic base reflectivity plot has been \ngreatly improved. The geo-referencing is nearly perfect!\n
    • 01 Jul 2003: Initial release to the public.
      • \n
    \n\n

    NEXRAD + Mapserver Howto:

    \n\n
    Here is a HOWTO on generating NEXRAD \nmosiacs with GEMPAK and then displaying them in Mapserver. Feedback\nis certainly welcome.

    \n\n

    Geo-referenced Images:

    \n\n
    Using geo-referenced images is probably the simpliest way of getting data \ninto your GIS. Displaying timestamps and color bars are tricky business. The\nfollowing URLs contain pure RASTER data layers. \n\n\n\n \n \n \n \n\n\n\n \n \n \n \n\n\n\n \n \n \n \n\n\n\n\n \n \n \n \n\n\n\n \n \n \n \n\n\n
    RADAREPSG Proj CodeData FilesWorld File
    US Base Reflectivity (N0R) Composite
    (generated every 5 minutes)    		4326
    (Lat-Lon)    		\n \n Decimal Degree Units
    US Base Reflectivity (N0Q) Composite
    (generated every 5 minutes)    		4326
    (Lat-Lon)    		\n \n Decimal Degree Units
    US Storm Total Precip (DTA) Composite
    (generated every 5 minutes)    		4326
    (Lat-Lon)    		\n \n Decimal Degree Units
    US 1 Hour Precip (DAA) Composite
    (generated every 5 minutes)    		4326
    (Lat-Lon)    		\n Decimal Degree Units

    \n\n

    Web Map Service (WMS):

    \n\n
    WMS is a neat way to pull in images into your GIS, if your GIS can act\nas a WMS client. Describing WMS is beyond the scope of this page, but we have\nset up a WMS on our webserver. Point your WMS aware client at \n

    {$EXTERNAL_BASEURL}/wms/radar.php?

    \nfor Iowa imagery in EPSG: 26915 (NAD83 / UTM Zone 15N)\n\n
    -or\n\n
    Base Reflectivity:   {$EXTERNAL_BASEURL}/cgi-bin/wms/nexrad/n0r.cgi?\n
    1 Hour Rainfall:   {$EXTERNAL_BASEURL}/cgi-bin/wms/nexrad/daa.cgi?\n
    Storm Total Rainfall:   {$EXTERNAL_BASEURL}/cgi-bin/wms/nexrad/dta.cgi?\n\n

    for United States imagery in EPSG: 4326 (unprojected lat-lon)\n\n

    Note: The WMS service should be able to send back an image in the\nprojection of your choice. This has worked during the limited testing done in house.\n\n

    There are many free web WMS clients available on the Internet. Recently,\nESRI has released an OGC extension \nsupporting WMS for their free client called ArcExplorer. After downloading ArcExplorer, you will want to also download the Interoperability Extension. ESRI has also released an extension for \nArcIMS! \n\n

    Notes and Caveats:

    \n
      \n
    1. The storm total precipitation (NTP) product does not directly mosiac. Each \nNEXRAD site reports the value for a different timespan. Basically, once the\nradar detects rain, it will begin to accumulate the rainfall in the NTP product.\nOnce it stops raining for an hour, the value is reset to zero. Since all sites\nreset at different times, you see the issue.
      2. \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/rasters.php", "content": "title = \"GIS RASTER Documentation\";\n\n$rid = get_int404(\"rid\", 1);\n\n$table = \"\";\n$rs = pg_query($mesosite, \"SELECT * from iemrasters ORDER by name ASC\");\n\n$rname = \"\";\n$runits = \"\";\n$urltemplate = \"\";\nwhile ($row = pg_fetch_assoc($rs)) {\n if ($rid == intval($row[\"id\"])) {\n $rname = $row[\"name\"];\n $runits = $row[\"units\"];\n $urltemplate = str_replace(\n \"/mesonet/ARCHIVE\",\n \"{$EXTERNAL_BASEURL}/archive\",\n is_null($row[\"filename_template\"]) ? \"\": $row[\"filename_template\"]\n );\n $t->title = sprintf(\"RASTER info for %s\", $rname);\n }\n $table .= sprintf(\n \"%s\"\n . \"%s%s\\n\",\n $row[\"id\"],\n $row[\"name\"],\n $row[\"description\"],\n $row[\"units\"]\n );\n}\n\nfunction rgb2html($r, $g, $b)\n{\n if (is_array($r) && sizeof($r) == 3)\n list($r, $g, $b) = $r;\n\n $r = intval($r);\n $g = intval($g);\n $b = intval($b);\n\n $r = dechex($r < 0 ? 0 : ($r > 255 ? 255 : $r));\n $g = dechex($g < 0 ? 0 : ($g > 255 ? 255 : $g));\n $b = dechex($b < 0 ? 0 : ($b > 255 ? 255 : $b));\n\n $color = (strlen($r) < 2 ? '0' : '') . $r;\n $color .= (strlen($g) < 2 ? '0' : '') . $g;\n $color .= (strlen($b) < 2 ? '0' : '') . $b;\n return '#' . $color;\n}\n\n$table2 = \"\";\nif ($rid > 0) {\n $stname = iem_pg_prepare($mesosite, \"SELECT * from iemrasters_lookup\"\n . \" WHERE iemraster_id = $1 ORDER by coloridx ASC\");\n $rs = pg_execute($mesosite, $stname, array($rid));\n while ($row = pg_fetch_assoc($rs)) {\n $table2 .= sprintf(\n \"%s%s%s\"\n . \"%s%s%s\\n\",\n $row[\"coloridx\"],\n (is_null($row[\"value\"])) ? 'Missing' : $row[\"value\"],\n $row[\"r\"],\n $row[\"g\"],\n $row[\"b\"],\n rgb2html($row[\"r\"], $row[\"g\"], $row[\"b\"])\n );\n }\n}\n\n$t->content = <<\n
      \n
    1. GIS Mainpage
      2. \n
    2. IEM RASTER Information
      3. \n
    \n\n\n

    The IEM produces a number of RASTER images meant for GIS use. These RASTERs\nare typically provided on the IEM website as 8 bit PNG images. This means there\nare 256 slots available for a binned value to be placed. This page documents\nthese RASTER images and provides the lookup table of PNG index to an actual\nvalue. Click on the item in the \"Label\" column to get the lookup table below.

    \n\n
    \n\n \n \n \n \n {$table}\n \n
    LabelDescriptionUnits
    \n
    \n\n

    Programmatic access to this RASTER source

    \n\n

    The IEM generated RASTERs are stored in a programmatic way that should allow\nfor easy scripted download of the archive. This section documents the URL\ntemplate used with the time shown in UTC. The string format modifiers below\nare pythonic strftime values.

    \n\n
    {$urltemplate}
    \n\n

    A general web service also exists to convert these RASTERs to netCDF \"on-the-fly\".\nThe URL format is like so:

    \n\n
    {$EXTERNAL_BASEURL}/cgi-bin/request/raster2netcdf.py?dstr=%Y%m%d%H%M&prod={$rname}
    \n\n

    Try the netCDF conversion

    \n
    \n \n
    \n \n \n
    \n
    \n \n
    \n
    \n\n

    Lookup Table for {$rname}

    \n\n
    Would it help you to have the information below\nin a different format? Please contact us \nif so!
    \n\n
    \n\n \n \n \n \n \n {$table2}\n \n
    Color IndexValue ({$runits})RedGreenBlueHEX
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/rby-overview.php", "content": "setSize(300, 130);\n\n$map->setExtent(-126, 24, -66, 50);\n\n$img = $map->prepareImage();\n\n$namerica = $map->getLayerByName(\"namerica\");\n$namerica->__set(\"status\", MS_ON);\n$namerica->draw($map, $img);\n\n$lakes = $map->getLayerByName(\"lakes\");\n$lakes->__set(\"status\", MS_ON);\n$lakes->draw($map, $img);\n\n$states = $map->getLayerByName(\"states\");\n$states->__set(\"status\", MS_ON);\n$states->draw($map, $img);\n\n/* Now we draw a box */\n$rect = $map->getLayerByName(\"rect\");\n$rect->__set(\"status\", MS_ON);\n$rt = new rectObj($extents[0], $extents[1], $extents[2], $extents[3]);\n$rt->draw($map, $rect, $img, 0, \" \");\n\nheader(\"Content-type: image/png\");\necho $img->getBytes();\n" }, { "path": "htdocs/GIS/ridge.phtml", "content": "title = \"GIS RADAR Information\";\n\n$d = date(\"Y/m/d\");\n$t->content = <<\n.coded {\n border-top: 1px solid #ccc; \n background: #EEFFCC; \n border-bottom: 1px solid #ccc; \n padding-left: 5px;\n}\n\n

    IEM Provided NWS NEXRAD Imagery for GIS

    \n\n
    This services are provided as-is and without warranty.\nThe purpose is to provide an archive to help support display applications\nand produce plots within GIS. Please do not use these services in applications\nthat have thousands of simultaneous users! Our servers will melt!
    \n\n
    \n\n\n\n
    May 3, 1999 : Moore Oklahoma F5 Tornado 7:12 PM.\n
    \n\n

    Since 2003, the IEM has been providing mosiacs \nof National Weather Service\nRADAR imagery for use within GIS systems. While these mosaics are nice, they\nare often ugly at very small scales (due to the crude nature of the mosaicking\nprocess). These images are also of base reflectivity and not of non-compositable\nproducts like velocity.\n\n

    The services mentioned on this page provide access to products that contain\ndata from one RADAR site for one level3 product at one volume scan time! The \narchive for these products starts in 2012.\n\n

    These images are provided in the \nEPSG:4326 projection. This\nis a commonly used projection for what people like to call \"un-projected\" lat/lon. Of\ncourse, this is not correct terminology, but anyway...\n\n

    Change Log:

    \n
      \n
    • 29 March 2022: The NWS will soon stop the NOAAPort dissemination of\n a number of Level III RADAR products, including N0Q. In preparation\n for that upcoming date, N0B imagery is now being saved.
      • \n
    \n\n

    Realtime Raw Data:

    \n\n

    The most recent imagery is dumped into a browser navigable folder \nhere. There is one folder per RADAR\nsite given by its three character call identifier. Data for FAA and DOD RADARs\nis available as well here. Due to storage and CPU constraints, we are not \nprocessing all level3 products at this time. The following is a list of \nprocessed products, click on the name for a color ramp for that product.\n

    \n\n

    Wait! Why are you not processing XYZ? Well, perhaps because\nnobody has requested it. Contact us and let us know why XYZ is important! :)\n\n

    These products are located within each RADAR ID folder as sub-folders. Then\ninside of the product folder, is the raw imagery. Each image has an associated\nworld file and a json formatted metadata file. This json metadata has information\nlike volume coverage pattern and may contain other information in the future.\n\n

    Archived Raw Data:

    \n\n

    An intense aspect of this effort is to archive all of the images we generate!\nThis is a scary proposition at the moment, but if we fail, let us fail in a \nspectacular manner! This should generate terabytes of data per year and millions\nof files! Anyway, these images are organized like the real-time data, but in\nper-UTC day folders like so:\n
    \n{$EXTERNAL_BASEURL}/archive/data/{$d}/GIS/ridge/ \n\n

    Data appears in the archive at the same time as it does for the realtime data.\nSo this is neat, but how can you programically work with this data? Here is\na example script\nthat uses the API below to download a single RADAR product for a time period of \nyour choice.\n\n

    JSON Metadata services

    \n\n

    In order to write fancy pants web applications, you need to be able to find out\nwhat imagery exists in the IEM's archive! Here are details on a few JSON emitting\nweb services that may be able to help you. These services are still being developed,\nso please send critical feedback on how to improve them.\n\n

    Available RADARs:
    This service returns single site and\ncomposite RADAR IDs for a location and time of your choice. This attempts to \nanswer the question: if I want to show a map for New York City on 28 March 2011, \nwhich RADAR sites are available? If you do not specific a location, the\nservice returns an estimate of RADARs available for the date of your timestamp.\n
    \n

    \nURI: {$EXTERNAL_BASEURL}/json/radar.py?operation=available\nHTTPD GET Variables:\n lat    - (optional) Latitude of your interested point \n lon    - (optional) Longitude (-180 to 180) of your interested point\n start  - UTC timestamp in ISO-8601 format YYYY-mm-ddTHH:MMZ\n

    \n\n

    Available Products for RADAR:
    This service returns\nwhat products are available for this RADAR near a given time.
    \n

    \nURI: {$EXTERNAL_BASEURL}/json/radar.py?operation=products\nHTTPD GET Variables:\n radar  - RADAR identifier \n start  - UTC timestamp in ISO-8601 format YYYY-mm-ddTHH:MMZ\n

    \n\n

    Available Volume Scans for RADAR+Product+Time Interval:\n
    This service returns what volume scan times are available for a given\nradar, product, and during a period of time. The results of this query can\nthen be fed back to request actual images or tiles from the Tile Map Service.\nThis service has a 500 scan limit return for each query.
    \n

    \nURI: {$EXTERNAL_BASEURL}/json/radar.py?operation=list\nHTTPD GET Variables:\n radar  - RADAR identifier \n product- level3 product identifier\n start  - UTC timestamp in ISO-8601 format YYYY-mm-ddTHH:MMZ\n end    - UTC timestamp in ISO-8601 format YYYY-mm-ddTHH:MMZ\n

    \n\n

    Tile Map Service

    \n\n

    The IEM provides a caching tile map service to provide \ntiles to Google Maps type applications in spherical mercator projection. This\narchive and current realtime imagery is exposed via this service! Here is how\nyou can access it:
    \n

    \nArchived:\n{$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/ridge::BMX-N0Q-201201230813/7/33/50.png\n\nLatest imagery:\n{$EXTERNAL_BASEURL}/cache/tile.py/1.0.0/ridge::BMX-N0Q-0/7/33/50.png\n
    \n\n

    The 7/33/50 portion is the standard Z/X/Y tile map specification, your plotting\napplication will generate these automatically. The key portion is the \n\"ridge::BMX-N0Q-201201230813\" service name. This is used by the server code to \nfind the archived image you want. The \"BMX-N0Q-201201230813\" should hopefully \nmake sense, it is the combination of RADAR ID, product ID, and UTC timestamp of\nthe imagery! Specifying zero as the timestamp will give you the most recent \nimage, which is hopefully current!\n\n

    There you have it, we would be happy to know what you think of this. Hopefully\nyou come up with interesting things that do not overwhelm our server :) Someday,\nwe will come up with something clever to provide legends for the imagery!\n\n

    LDM Service

    \n\n

    All of the generated imagery passes through Unidata's LDM software. If you \nhave LDM and would like a feed of the imagery, we can certainly provide you\none! It comes on the EXP feedtype with easy to use product identifiers.\n\n

    Final Notes and Credits:

    \n\n

    A big thanks goes to the National Weather Service RIDGE team, who we have worked\nwith on their RADAR web mapping projects. It is our hope that many of the services\ndeveloped will find a stable and permanent home with the NWS someday!\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/GIS/sbw-history.php", "content": " (intval($utcnow->format(\"Y\")) + 1)) || ($year < 1980)) {\n xssafe(\"\");\n}\n$wfo = substr(xssafe($wfo), 1, 3);\n$phenomena = substr(xssafe($phenomena), 0, 2);\n$significance = substr(xssafe($significance), 0, 1);\n\n$stname = iem_pg_prepare(\n $postgis,\n <<= 2 && $rows < 5) {\n $width = 640;\n $height = 540;\n $twidth = 316;\n $theight = 236;\n $px = array(3, 323, 3, 323);\n $py = array(50, 50, 290, 290);\n} else {\n $width = 640;\n $height = 540;\n $twidth = 206;\n $theight = 154;\n $px = array(10, 220, 430, 10, 220, 430, 10, 220, 430);\n $py = array(60, 60, 60, 230, 230, 230, 390, 390, 390);\n}\n\n$map2 = new mapObj($mapFile);\n$map2->imagecolor->setrgb(155, 155, 155);\n$map2->setSize($width, $height);\n$img2 = $map2->prepareImage();\n\n$buffer = 0.3;\n\n$xmax = 0;\n$ymax = 0;\n$xmin = 0;\n$xmax = 0;\n$gdimg_dest = null;\nfor ($i = 0; $row = pg_fetch_assoc($rs); $i++) {\n if ($i > 8) {\n continue;\n }\n if ($i == 0) {\n $xmax = $row[\"st_xmax\"];\n $ymax = $row[\"st_ymax\"];\n $xmin = $row[\"st_xmin\"];\n $ymin = $row[\"st_ymin\"];\n $xspace = $xmax - $xmin;\n $yspace = ($ymax - $ymin) * 1.5;\n $cross = ($xspace >= $yspace) ? $xspace : $yspace;\n $xc = $xmin + ($xmax - $xmin) / 2;\n $yc = $ymin + ($ymax - $ymin) / 2;\n $xmin = $xc - ($cross / 2) - $buffer;\n $ymin = $yc - ($cross / 2) - (.5 * $buffer);\n $ymax = $yc + ($cross / 2) + (1.5 * $buffer);\n $xmax = $xc + ($cross / 2) + $buffer;\n $bar640t = $map2->getLayerByName(\"bar640t\");\n $bar640t->__set(\"status\", MS_ON);\n $bar640t->draw($map2, $img2);\n\n $tlayer = $map2->getLayerByName(\"bar640t-title\");\n $point = new pointObj();\n $point->setXY(80, 8);\n if ($rows > 8) {\n $point->draw($map2, $tlayer, $img2, 0, \"Storm Based Warning History (First 9 shown)\");\n } else {\n $point->draw($map2, $tlayer, $img2, 0, \"Storm Based Warning History\");\n }\n\n $point = new pointObj();\n $point->setXY(80, 25);\n $d = date(\"d M Y h:i A T\", strtotime($row[\"init_expire\"]));\n $point->draw($map2, $tlayer, $img2, 1, \"$wfo \" . $reference[\"vtec_phenomena\"][$phenomena] . \" \" . $reference[\"vtec_significance\"][$significance] . \" #$eventid till $d\");\n\n $layer = $map2->getLayerByName(\"logo\");\n $point = new pointObj();\n $point->setXY(40, 26);\n $point->draw($map2, $layer, $img2, 0, \"\");\n\n $map2->drawLabelCache($img2);\n $gdimg_dest = imagecreatefromstring($img2->getBytes());\n\n $sz0 = ($row[\"area\"] < 0.001) ? 0.001 : $row[\"area\"];\n }\n\n $map = new mapObj($mapFile);\n $map->__set(\"width\", $twidth);\n $map->__set(\"height\", $theight);\n $map->setExtent($xmin, $ymin, $xmax, $ymax);\n\n $img = $map->prepareImage();\n\n $namerica = $map->getLayerByName(\"namerica\");\n $namerica->__set(\"status\", MS_ON);\n $namerica->draw($map, $img);\n\n $lakes = $map->getLayerByName(\"lakes\");\n $lakes->__set(\"status\", MS_ON);\n $lakes->draw($map, $img);\n\n $polygon_begin = new DateTime($row[\"utc_polygon_begin\"], new DateTimeZone(\"UTC\"));\n // Ensure we have a timestamp modulo 5 minutes to match archive RADAR\n $radts = clone $polygon_begin;\n $mins = intval($radts->format(\"i\")) % 5;\n if ($mins > 0) {\n $radts->sub(new DateInterval(\"PT{$mins}M\"));\n }\n $rtype = (intval($radts->format(\"Y\")) > 2010) ? \"n0q\": \"n0r\";\n $radarfn = sprintf(\n \"/mesonet/ARCHIVE/data/%s/GIS/uscomp/{$rtype}_%s.png\",\n $radts->format(\"Y/m/d\"),\n $radts->format(\"YmdHi\"),\n );\n if (is_file($radarfn)) {\n $radar = $map->getLayerByName(\"nexrad_{$rtype}\");\n $radar->__set(\"status\", MS_ON);\n $radar->__set(\"data\", $radarfn);\n $radar->draw($map, $img);\n }\n\n $counties = $map->getLayerByName(\"uscounties\");\n $counties->__set(\"status\", MS_ON);\n $counties->draw($map, $img);\n\n $states = $map->getLayerByName(\"states\");\n $states->__set(\"status\", MS_ON);\n $states->draw($map, $img);\n\n $wc = new layerObj($map);\n $wc->setConnectionType(MS_POSTGIS, \"\");\n $wc->__set(\"connection\", get_dbconn_str(\"postgis\"));\n $wc->__set(\"status\", MS_ON);\n $sql = sprintf(\n \"geom from (select random() as oid, geom from sbw \" .\n \"WHERE vtec_year = %s and phenomena = '%s' and wfo = '%s' and eventid = %s and \" .\n \"significance = '%s' and status = 'NEW') as foo using unique oid \" .\n \"using SRID=4326\",\n $year,\n $phenomena,\n $wfo,\n $eventid,\n $significance\n );\n $wc->__set(\"data\", $sql);\n $wc->__set(\"type\", MS_LAYER_LINE);\n $wc->setProjection(\"init=epsg:4326\");\n\n $wcc0 = new classObj($wc);\n $wcc0s0 = new styleObj($wcc0);\n $wcc0s0->color->setRGB(255, 255, 255);\n $wcc0s0->__set(\"width\", 2);\n $wcc0s0->__set(\"symbol\", 'circle');\n $wc->draw($map, $img);\n $map->drawLabelCache($img);\n\n $wc = new layerObj($map);\n $wc->setConnectionType(MS_POSTGIS, \"\");\n $wc->__set(\"connection\", get_dbconn_str(\"postgis\"));\n $wc->__set(\"status\", MS_ON);\n $sql = sprintf(\n \"geom from (select random() as oid, geom from sbw \" .\n \"WHERE vtec_year = %s and phenomena = '%s' and wfo = '%s' and eventid = %s and \" .\n \"significance = '%s' and polygon_begin = '%s') as foo \" .\n \"using unique oid using SRID=4326\",\n $year,\n $phenomena,\n $wfo,\n $eventid,\n $significance,\n $row[\"polygon_begin\"]\n );\n $wc->__set(\"data\", $sql);\n $wc->__set(\"type\", MS_LAYER_LINE);\n $wc->setProjection(\"init=epsg:4326\");\n\n $wcc0 = new classObj($wc);\n $wcc0->__set(\"name\", $row[\"area\"] . \" sq km [\" . intval($row[\"area\"] / $sz0 * 100) . \"%]\");\n $wcc0s0 = new styleObj($wcc0);\n $wcc0s0->color->setRGB(255, 0, 0);\n $wcc0s0->__set(\"width\", 3);\n $wcc0s0->__set(\"symbol\", 'circle');\n $wc->draw($map, $img);\n $map->drawLabelCache($img);\n\n $bar640t = $map->getLayerByName(\"bar640t\");\n $bar640t->__set(\"status\", 1);\n $bar640t->draw($map, $img);\n\n $tlayer = $map->getLayerByName(\"bar640t-title\");\n $point = new pointObj();\n $point->setXY(2, 8);\n $point->draw($map, $tlayer, $img, 0, $reference[\"vtec_action\"][$row[\"status\"]]);\n\n $point = new pointObj();\n $point->setXY(2, 25);\n $d = date(\"d M Y h:i A T\", strtotime($row[\"polygon_begin\"]));\n $point->draw($map, $tlayer, $img, 1, \"$d\");\n\n $map->embedLegend($img);\n $map->drawLabelCache($img);\n $gdimg_src = imagecreatefromstring($img->getBytes());\n imagecopy(\n $gdimg_dest,\n $gdimg_src,\n $px[$i],\n $py[$i],\n 0,\n 0,\n $twidth,\n $theight,\n );\n imagedestroy($gdimg_src);\n}\nheader(\"Content-type: image/png\");\nif (is_null($gdimg_dest)){\n $gdimg_dest = imagecreatefromstring($img2->getBytes());\n}\necho imagepng($gdimg_dest);\n" }, { "path": "htdocs/GIS/tiff/index.py", "content": "\"\"\"implemented in pylib/iemweb/GIS/tiff/index.py\"\"\"\n\nfrom iemweb.GIS.tiff.index import application\n\n__all__ = [\"application\"]\n" }, { "path": "htdocs/QC/index.phtml", "content": "title = \"Quality Control\";\n$t->content = <<Quality Control Products\n\n

    This page contains links to Quality Control (QC) products generated\n on the IEM server.

    \n\n\n\n

    IEM Tracker Links:

    \n\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/QC/madis/network.css", "content": "#w { color: #ff0000;}\n#c { color: #0000ff;}\n#divider{ \n border-style: none;\n text-align: center;\n background-color: #CCCCCC;\n}\n" }, { "path": "htdocs/QC/madis/network.phtml", "content": "title = \"Quality Control, MADIS Raw QC\";\n$t->headextra = <<\nEOM;\n$dbconn = iemdb(\"iem\");\n$stname = iem_pg_prepare(\n $dbconn,\n \"SELECT c.*, t.id as station, t.name, \" .\n \"c.valid at time zone 'UTC' as uv from current_qc c JOIN stations t on \" .\n \"(c.iemid = t.iemid) WHERE t.network = $1\"\n);\n$sortcol = isset($_GET[\"sortcol\"]) ? xssafe($_GET[\"sortcol\"]) : \"station\";\n$network = isset($_GET[\"network\"]) ? substr(xssafe($_GET[\"network\"]), 0, 10) : \"IA_ASOS\";\nif ($network == \"AWOS\") {\n $network = \"IA_ASOS\";\n}\n$baa = \"network.phtml?network={$network}\";\n\n$rs = pg_execute($dbconn, $stname, array($network));\n\n$data = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $data[$row[\"station\"]] = $row;\n}\n\n$finalA = array();\n$finalA = aSortBySecondIndex($data, $sortcol);\n\n$rs = pg_query(\n iemdb(\"mesosite\"),\n \"SELECT id, name from networks\"\n);\n$networks = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $networks[$row[\"id\"]] = $row[\"name\"];\n}\n\n$rs = pg_query(\n $dbconn,\n \"select distinct network from current_qc q JOIN stations t \" .\n \"ON (q.iemid = t.iemid) ORDER by network ASC\"\n);\n$ar = array();\nwhile ($row = pg_fetch_assoc($rs)) {\n $ar[$row[\"network\"]] = $networks[$row[\"network\"]];\n}\n$sselect = make_select(\"network\", $network, $ar);\n\n$i = false;\n\nfunction vp($v, $r)\n{\n if (is_null($v)) return \"M\";\n $v = floatval($v);\n if ($v > 0) return '' . myround($v, $r) . '';\n else if ($v < 0) return '' . myround($v, $r) . '';\n return '' . myround($v, $r) . '';\n}\nfunction pp($v, $r)\n{\n if (is_null($v)) return \"M\";\n $v = floatval($v);\n if (intval($v) == -17966) return 'M';\n return myround($v, $r);\n}\n$table = \"\";\n$now = new DateTime(\"now\");\n$thisyear = $now->format(\"Y\");\nforeach ($finalA as $key => $val) {\n $ts = new DateTime($val[\"uv\"]);\n $fmt = ($ts->format(\"Y\") == $thisyear) ? \"d G:i\" : \"Y M d G:i\";\n $table .= '' . $val[\"name\"] . '\n ' . $ts->format($fmt) . 'Z\n ' . pp($val[\"tmpf\"], 0) . '' .\n vp($val[\"tmpf_qc_av\"], 1) .\n vp($val[\"tmpf_qc_sc\"], 1) .\n '' . pp($val[\"dwpf\"], 0) . '' .\n vp($val[\"dwpf_qc_av\"], 1) .\n vp($val[\"dwpf_qc_sc\"], 1) .\n '' . pp($val[\"alti\"], 2) . '' .\n vp($val[\"alti_qc_av\"], 2) .\n vp($val[\"alti_qc_sc\"], 2) .\n '';\n\n $i = !$i;\n}\n\n$t->content = <<MADIS QC Values\n

    Here are the MADIS quality control values for selected networks in the IEM.\nRed numbers indicate the observed value is above the expected range.\nBlue numbers indicate the observed value is below the expected range.\nThe QC value is an average of all MADIS QC routines. The Spatial column is the result of the Spatial Consistency Check.

    \n\n
    \n
    \n \n {$sselect}\n
    \n
    \n \n
    \n
    \n\n
    Color legend: High bias, Low bias.
    \n\n\n\n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n\n{$table}\n\n
    MADIS QC table listing recent observation valid time (UTC) with observed (OB), overall quality control (QC) average, and spatial consistency (Spatial) checks for Air Temperature, Dewpoint, and Altimeter. Column sort links reload the page.
    Site IDStation NameOb Valid (UTC)Air Temperature [F]Dewpoint [F]Altimeter [inch]
    OBQCSpatialOBQCSpatialOBQCSpatial
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/QC/offline.php", "content": "title = \"Quality Control, Sites Offline\";\n\nrequire_once \"../../include/database.inc.php\";\nrequire_once \"../../include/network.php\";\nrequire_once \"../../include/mlib.php\";\n$pgconn = iemdb(\"iem\");\n$stname = iem_pg_prepare(\n $pgconn,\n \"SELECT *, to_char(valid, 'Mon DD YYYY HH:MI AM') as v from offline \".\n \"WHERE network = $1 ORDER by valid ASC\",\n);\n\nfunction networkOffline($network)\n{\n global $pgconn, $stname;\n $nt = new NetworkTable($network);\n $cities = $nt->table;\n $s = \"\";\n $rs = pg_execute($pgconn, $stname, Array($network) );\n\n $q = 0;\n while ($row = pg_fetch_assoc($rs))\n {\n $valid = $row[\"v\"];\n $station = $row[\"station\"];\n if (! isset($cities[$station])) continue;\n $name = $cities[$station]['name'];\n $s .= \"$station$name$valid\\n\";\n $q = 1;\n }\n if ($q == 0){ $s .= \"All Sites Online!!!\\n\"; }\n\n return $s;\n}\n$rwis = networkOffline(\"IA_RWIS\");\n$awos = networkOffline(\"IA_ASOS\");\n$isusm = networkOffline(\"ISUSM\");\n$t->content = <<\n
      \n
    1. Quality Control
      2. \n
    2. Sites Offline
      3. \n
    \n\n\n

    Unfortunately, automated observing sites occasionally go offline due\nto a wide range of factors. Here is a listing of sites currently offline.

    \n\n
    \n\n\n\n \n \n \n\n\n\n\n{$isusm}\n\n\n{$rwis}\n\n\n{$awos}\n\n\n
    Site ID:NameFlagged Offline At
    ISU Soil Moisture Network (3 hour tolerance)
    Iowa RWIS Network (1 hour tolerance)
    Iowa AWOS Network (90 minute tolerance)
    \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/QC/tickets.phtml", "content": "title = \"Quality Control, Active Trouble Tickets\";\n\n$conn = iemdb(\"portfolio\");\n$rs = pg_query($conn, \"SELECT *, getSiteName(s_mid) as s_name from tt_base \" .\n \"WHERE status != 'CLOSED' ORDER by id ASC\");\n\n$ars = array(\"isusm\" => \"\", \"iaawos\" => \"\", \"iarwis\" => \"\");\n\nwhile ($row = pg_fetch_assoc($rs)) {\n if (!array_key_exists($row[\"portfolio\"], $ars)) {\n continue;\n }\n $entered = new DateTime(substr($row[\"entered\"], 0, 16));\n $last = new DateTime(substr($row[\"last\"], 0, 16));\n $s = \"\n \" . $row[\"id\"] . \"\n \" . $row[\"status\"] . \"\n \" . $entered->format(\"Y-m-d\") . \"\n \" . $last->format(\"Y-m-d\") . \"\n [\" . $row[\"s_mid\"] . \"] \" . $row[\"s_name\"] . \"\n \" . $row[\"subject\"] . \"\n \";\n if (array_key_exists($row[\"portfolio\"], $ars)) {\n $ars[$row[\"portfolio\"]] .= $s;\n } else {\n $ars[$row[\"portfolio\"]] = $s;\n }\n}\n\nforeach ($ars as $key => $val) {\n if ($val == '')\n $ars[$key] = \"No Open/Active Tickets Found\";\n}\n\n$t->content = <<\n
      \n
    1. Quality Control
      2. \n
    2. Active Trouble Tickets
      3. \n
    \n\n\n

    The IEM developed a system called \"IEM Tracker\" to track meta-data\nof sites in our component networks. This page presents a listing of\n'Trouble Tickets' that are currently active. Currently, only the ticket\nheader is presented, but in the future more info will be made publicly\navailable. If you have any questions or comments about a ticket listed,\nplease feel free to Contact Us.

    \n\n

    Iowa State Soil Moisture Network

    \n
    \n\n\n\n \n \n\n\n\n{$ars[\"isusm\"]}\n\n
    IDStatus:Opened:Updated:Site:Ticket Topic:
    \n
    \n\n

    Iowa AWOS network

    \n
    \n\n\n\n \n \n\n\n\n{$ars[\"iaawos\"]}\n\n
    IDStatus:Opened:Updated:Site:Ticket Topic:
    \n
    \n\n

    Iowa RWIS network

    \n
    \n\n\n\n \n \n\n\n\n{$ars[\"iarwis\"]}\n\n
    IDStatus:Opened:Updated:Site:Ticket Topic:
    \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/RWIS/camera.module.js", "content": "import { escapeHTML, getElement, getInputElement, requireInputElement } from '/js/iemjs/domUtils.js';\n\n/**\n * Format date for display\n * @param {Date} date \n * @returns {string} formatted date string\n */\nfunction formatDateForDisplay(date) {\n const months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',\n 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];\n const month = months[date.getMonth()];\n const day = date.getDate().toString().padStart(2, '0');\n return `${month} ${day} `;\n}\n\n/**\n * Parse ISO date string\n * @param {string} val ISO date string\n * @returns {Date|null} parsed date or null\n */\nfunction parseISODate(val) {\n if (typeof val !== 'string') {return null;}\n const reIsoDate = /^(\\d{4})-(\\d{2})-(\\d{2})((T)(\\d{2}):(\\d{2})(:(\\d{2})(\\.\\d*)?)?)?(Z)?$/;\n const mm = val.match(reIsoDate);\n if (mm) {\n return new Date(Date.UTC(\n Number(mm[1]), \n Number(mm[2]) - 1, \n Number(mm[3]), \n Number(mm[6]) || 0, \n Number(mm[7]) || 0, \n Number(mm[9]) || 0, \n parseInt((Number(mm[10])) * 1000, 10) || 0\n ));\n }\n return null;\n}\n\n/**\n * Set up date picker functionality\n */\nfunction setupDatePicker() {\n const datePicker = requireInputElement('datepicker');\n const realDateInput = requireInputElement('realdate');\n \n // Set up HTML5 date input\n datePicker.type = 'date';\n datePicker.min = '2009-12-19'; // Minimum date from PHP\n \n // Set default date to today\n const today = new Date();\n const todayString = today.toISOString().split('T')[0];\n datePicker.value = todayString;\n \n // Set real date field for backend - use 4-digit year format (YYYYMMDD)\n // Parse date string directly to avoid timezone drift issues\n const formatDateForBackend = (dateStr) => {\n const [year, month, day] = dateStr.split('-');\n return `${year}${month.padStart(2, '0')}${day.padStart(2, '0')}`;\n };\n \n realDateInput.value = formatDateForBackend(todayString);\n \n // Add event listener for date changes\n datePicker.addEventListener('change', () => {\n realDateInput.value = formatDateForBackend(datePicker.value);\n fetchTimes(false);\n });\n}\n\n/**\n * Fetch available times for selected camera and date\n * @param {string|boolean} findTime specific time to select after loading\n */\nfunction fetchTimes(findTime) {\n const cidSelect = document.querySelector('select[name=cid]');\n const realDateInput = getInputElement('realdate');\n const timesSelect = document.querySelector('select[name=times]');\n \n const cid = cidSelect.value;\n const myDate = realDateInput.value;\n \n timesSelect.innerHTML = \"\";\n \n fetch(`/json/webcam.py?cid=${cid}&date=${myDate}`)\n .then(response => response.json())\n .then(data => {\n const html = generateTimeOptionsHTML(data.images);\n timesSelect.innerHTML = html;\n \n if (findTime) {\n selectTimeOption(findTime);\n }\n })\n .catch(() => {\n // Handle error by showing appropriate message to user\n timesSelect.innerHTML = \"\";\n });\n}\n\n/**\n * Update URL with URLSearchParams instead of hash\n * @param {string} filename current image filename\n */\nfunction updateURL(filename) {\n const url = new URL(window.location);\n url.searchParams.set('image', filename);\n window.history.replaceState({}, '', url);\n}\n\n/**\n * Get URL parameters from current location\n * @returns {URLSearchParams} current URL search parameters\n */\nfunction getURLParams() {\n return new URLSearchParams(window.location.search);\n}\n\n/**\n * Migrate legacy hash URLs to URLSearchParams\n * This maintains backward compatibility with old bookmarked URLs\n */\nfunction migrateLegacyHashURLs() {\n const hash = window.location.hash;\n if (hash && hash.length > 1) {\n const filename = hash.substring(1); // Remove the # character\n const url = new URL(window.location);\n \n // Clear the hash and set as URL parameter\n url.hash = '';\n url.searchParams.set('image', filename);\n \n // Replace the URL without adding to history\n window.history.replaceState({}, '', url);\n \n return filename;\n }\n return null;\n}\n\n/**\n * Load and display selected image\n */\nfunction getImage() {\n const timesSelect = document.querySelector('select[name=times]');\n const theImage = getElement('theimage');\n \n const href = escapeHTML(timesSelect.value);\n if (href && href !== '-1') {\n // Show loading indicator\n showLoadingState(true);\n \n const fn = href.split('/');\n const filename = fn[fn.length - 1];\n \n // Update URL with URLSearchParams instead of hash\n updateURL(filename);\n \n // Preload image to handle loading states\n const newImage = new Image();\n newImage.onload = () => {\n theImage.src = newImage.src;\n showLoadingState(false);\n updateImageInfo(timesSelect.selectedOptions[0].textContent);\n };\n newImage.onerror = () => {\n theImage.alt = 'Failed to load image';\n showLoadingState(false);\n updateImageInfo('Error loading image');\n };\n newImage.src = href;\n }\n}\n\n/**\n * Show/hide loading state for image\n * @param {boolean} isLoading whether to show loading state\n */\nfunction showLoadingState(isLoading) {\n const theImage = getElement('theimage');\n const container = theImage.parentElement;\n \n if (isLoading) {\n container.style.opacity = '0.6';\n container.style.cursor = 'wait';\n } else {\n container.style.opacity = '1';\n container.style.cursor = 'default';\n }\n}\n\n/**\n * Update image information display\n * @param {string} timeInfo time information to display\n */\nfunction updateImageInfo(timeInfo) {\n let infoElement = getElement('image-info');\n if (!infoElement) {\n infoElement = document.createElement('div');\n infoElement.id = 'image-info';\n infoElement.style.cssText = 'margin-top: 10px; font-weight: bold; text-align: center; color: #666;';\n getElement('theimage').parentElement.appendChild(infoElement);\n }\n infoElement.textContent = `Current Image: ${timeInfo}`;\n}\n\n/**\n * Parse URL parameters to set initial state\n * Handles both URLSearchParams and legacy hash URLs (with migration)\n */\nfunction parseURLParams() {\n // First, check for legacy hash URLs and migrate them\n const migratedFilename = migrateLegacyHashURLs();\n \n // Get current URL parameters (either from migration or existing params)\n const params = getURLParams();\n const imageParam = params.get('image') || migratedFilename;\n \n if (imageParam) {\n const fnTokens = imageParam.split(\"_\");\n if (fnTokens.length === 2) {\n const cid = fnTokens[0];\n const tpart = fnTokens[1];\n \n // Set camera ID\n const cidSelect = document.querySelector('select[name=cid]');\n const cidOption = cidSelect.querySelector(`option[value=\"${cid}\"]`);\n if (cidOption) {\n cidOption.selected = true;\n }\n \n // Set date\n const year = tpart.substring(0, 4);\n const month = tpart.substring(4, 6);\n const day = tpart.substring(6, 8);\n const dateStr = `${year}-${month}-${day}`;\n \n const datePicker = getInputElement('datepicker');\n const realDateInput = getInputElement('realdate');\n \n datePicker.value = dateStr;\n realDateInput.value = `${year}${month}${day}`; // YYYYMMDD format for backend\n \n // Create ISO time string for selection\n const hour = tpart.substring(8, 10);\n const minute = tpart.substring(10, 12);\n const isotime = `${year}-${month}-${day}T${hour}:${minute}:00Z`;\n \n fetchTimes(isotime);\n } else {\n fetchTimes(false);\n }\n } else {\n fetchTimes(false);\n }\n}\n\n/**\n * Handle browser back/forward navigation\n */\nfunction handlePopState() {\n parseURLParams();\n}\n\n/**\n * Add navigation controls for easier image browsing\n */\nfunction addNavigationControls() {\n const timesSelect = document.querySelector('select[name=times]');\n const controlsDiv = document.createElement('div');\n controlsDiv.style.cssText = 'margin-top: 10px; text-align: center;';\n \n // Previous/Next buttons\n const prevBtn = document.createElement('button');\n prevBtn.textContent = '← Previous';\n prevBtn.className = 'btn btn-sm btn-secondary';\n prevBtn.style.marginRight = '10px';\n prevBtn.onclick = () => navigateImage(-1);\n \n const nextBtn = document.createElement('button');\n nextBtn.textContent = 'Next →';\n nextBtn.className = 'btn btn-sm btn-secondary';\n nextBtn.onclick = () => navigateImage(1);\n \n // Auto-play toggle\n const autoPlayBtn = document.createElement('button');\n autoPlayBtn.textContent = 'Auto-play';\n autoPlayBtn.className = 'btn btn-sm btn-info';\n autoPlayBtn.style.marginLeft = '20px';\n autoPlayBtn.onclick = toggleAutoPlay;\n \n controlsDiv.appendChild(prevBtn);\n controlsDiv.appendChild(nextBtn);\n controlsDiv.appendChild(autoPlayBtn);\n \n timesSelect.parentElement.appendChild(controlsDiv);\n}\n\n/**\n * Navigate to previous/next image\n * @param {number} direction -1 for previous, 1 for next\n */\nfunction navigateImage(direction) {\n const timesSelect = document.querySelector('select[name=times]');\n const currentIndex = timesSelect.selectedIndex;\n const maxIndex = timesSelect.options.length - 1;\n \n if (direction === -1 && currentIndex > 0) {\n timesSelect.selectedIndex = currentIndex - 1;\n } else if (direction === 1 && currentIndex < maxIndex) {\n timesSelect.selectedIndex = currentIndex + 1;\n }\n getImage();\n}\n\nlet autoPlayInterval = null;\n\n/**\n * Toggle auto-play functionality\n */\nfunction toggleAutoPlay() {\n const autoPlayBtn = document.querySelector('button:nth-of-type(3)');\n \n if (autoPlayInterval) {\n clearInterval(autoPlayInterval);\n autoPlayInterval = null;\n autoPlayBtn.textContent = 'Auto-play';\n autoPlayBtn.className = 'btn btn-sm btn-info';\n } else {\n autoPlayInterval = setInterval(() => {\n const timesSelect = document.querySelector('select[name=times]');\n const currentIndex = timesSelect.selectedIndex;\n const maxIndex = timesSelect.options.length - 1;\n \n if (currentIndex < maxIndex) {\n navigateImage(1);\n } else {\n // Loop back to start\n timesSelect.selectedIndex = 0;\n getImage();\n }\n }, 2000); // 2 second intervals\n \n autoPlayBtn.textContent = 'Stop Auto-play';\n autoPlayBtn.className = 'btn btn-sm btn-warning';\n }\n}\n\n/**\n * Convert 24-hour time to 12-hour format with AM/PM\n * @param {number} hour24 hour in 24-hour format\n * @returns {object} object with hour12 and period\n */\nfunction convertTo12Hour(hour24) {\n const period = hour24 >= 12 ? ' PM' : ' AM';\n let hour12 = hour24;\n \n if (hour12 > 12) {\n hour12 = hour12 - 12;\n } else if (hour12 === 0) {\n hour12 = 12;\n }\n \n return { hour12, period };\n}\n\n/**\n * Format time string for display\n * @param {Date} timestamp date object\n * @returns {string} formatted time string\n */\nfunction formatTimeString(timestamp) {\n const dateStr = formatDateForDisplay(timestamp);\n const { hour12, period } = convertTo12Hour(timestamp.getHours());\n const minutes = timestamp.getMinutes().toString().padStart(2, '0');\n return `${dateStr}${hour12}:${minutes}${period}`;\n}\n\n/**\n * Generate HTML options for time select dropdown\n * @param {Array} images array of image objects\n * @returns {string} HTML string for options\n */\nfunction generateTimeOptionsHTML(images) {\n if (!images || images.length === 0) {\n return \"\";\n }\n \n let html = '';\n for (let i = 0; i < images.length; i++) {\n const ts = parseISODate(images[i].valid);\n if (!ts) {continue;}\n \n const timeStr = formatTimeString(ts);\n html += ``;\n }\n \n return html || \"\";\n}\n\n/**\n * Select a specific time option and load the image\n * @param {string} findTime ISO time string to find and select\n */\nfunction selectTimeOption(findTime) {\n const timesSelect = document.querySelector('select[name=times]');\n const targetOption = timesSelect.querySelector(`option[ts=\"${findTime}\"]`);\n if (targetOption) {\n targetOption.selected = true;\n getImage();\n }\n}\n\n/**\n * Check if keyboard navigation should be active for current focus\n * @param {HTMLElement} activeElement currently focused element\n * @param {Event} event keyboard event\n * @returns {boolean} true if navigation should be active\n */\nfunction shouldAllowKeyboardNavigation(activeElement, event) {\n const timesSelectElement = document.querySelector('select[name=times]');\n \n return activeElement === timesSelectElement || \n event.target.id === 'theimage' ||\n event.target.tagName === 'SELECT' || \n event.target.tagName === 'INPUT';\n}\n\n/**\n * Handle keyboard navigation events\n * @param {KeyboardEvent} event keyboard event\n */\nfunction handleKeyboardNavigation(event) {\n if (!shouldAllowKeyboardNavigation(document.activeElement, event)) {\n return;\n }\n \n if (event.key === 'ArrowUp' || event.key === 'ArrowLeft') {\n event.preventDefault();\n navigateImage(-1);\n } else if (event.key === 'ArrowDown' || event.key === 'ArrowRight') {\n event.preventDefault();\n navigateImage(1);\n } else if (event.key === ' ' || event.key === 'Spacebar') {\n event.preventDefault();\n toggleAutoPlay();\n }\n}\n\n/**\n * Initialize the application\n */\nfunction init() {\n setupDatePicker();\n addNavigationControls();\n \n // Set up event listeners\n const cidSelect = document.querySelector('select[name=cid]');\n const timesSelect = document.querySelector('select[name=times]');\n const datePicker = document.getElementById('datepicker');\n \n cidSelect.addEventListener('change', () => {\n // Stop auto-play when changing cameras\n if (autoPlayInterval) {\n toggleAutoPlay();\n }\n // Clear image parameter when changing cameras\n const url = new URL(window.location);\n url.searchParams.delete('image');\n window.history.replaceState({}, '', url);\n fetchTimes(false);\n });\n \n // Update URL when date changes\n datePicker.addEventListener('change', () => {\n const url = new URL(window.location);\n url.searchParams.delete('image'); // Clear image when date changes\n window.history.replaceState({}, '', url);\n });\n \n timesSelect.addEventListener('change', () => {\n getImage();\n });\n \n // Enhanced keyboard navigation\n document.addEventListener('keydown', handleKeyboardNavigation);\n \n // Make image clickable for better UX\n document.addEventListener('click', (event) => {\n if (event.target.id === 'theimage') {\n event.target.focus();\n }\n });\n \n // Handle browser back/forward navigation\n window.addEventListener('popstate', handlePopState);\n \n // Parse URL parameters and initialize (handles both URLSearchParams and legacy hash migration)\n parseURLParams();\n}\n\n// Initialize when DOM is loaded\nif (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', init);\n} else {\n init();\n}\n" }, { "path": "htdocs/RWIS/camera.phtml", "content": "title = \"RWIS Archived Webcam Imagery\";\n$t->jsextra = <<\nEOM;\n\n$conn = iemdb(\"mesosite\");\n$rs = pg_query($conn, \"SELECT id, name, date(sts) as s from webcams \" .\n \"WHERE network = 'IDOT' ORDER by name ASC\");\n$sform = \"\";\n\n$t->content = <<Archived Iowa RWIS Webcam Imagery\n\n

    The IEM archives imagery provided by the Iowa DOT RWIS network. Each site\nwith a webcam has a number of preset views that are each queried about once\nper 10 minutes. Please select the webcam view you wish to see and then \nselect a date of interest. The left hand menu will automatically populate with\na listing of images available for that date.

    \n\n
    \n Navigation Tips:\n
      \n
    • Use arrow keys (↑↓ or ←→) to navigate between images
      • \n
    • Press spacebar to start/stop auto-play mode
      • \n
    • Click on the image to focus it for keyboard navigation
      • \n
    • Use the Previous/Next buttons for manual control
      • \n
    \n
    \n\n

    Archiving started back on 19 Dec 2009. The start date of invidual webcams\nis shown in the select menu. The IEM Webcam Viewer\nis another tool that allows viewing the RWIS webcam archive.

    \n\n\n\n
    \n
    \n 1. Select Webcam View:\n
    {$sform}\n
    \n
    \n 2. Date: \n
    \n
    \n
    \n\n
    \n
    \n 3. Select Time:\n
    \n \n
    \n
    \n
    \n \n
    \n
    \n
    \n\n
    \nEOM;\n$t->render(\"full.phtml\");\n" }, { "path": "htdocs/RWIS/current.phtml", "content": "current_network = 'RWIS';\n$sortcol = isset($_GET[\"sortcol\"]) ? xssafe($_GET[\"sortcol\"]) : \"ts\";\n$network = isset($_GET['network']) ? xssafe($_GET['network']) : 'IA_RWIS';\n$t->title = \"RWIS Sortable Currents\";\n$t->refresh = 600;\n\n$vals = array(\n \"tmpf\" => \"Air Temperature [F]\", \"dwpf\" => \"Dew Point Temp [F]\",\n \"sknt\" => \"Wind Speed [knots]\", \"drct\" => \"Wind Direction [deg]\",\n \"pday\" => \"Precip Accum [inches]\", \"max_sknt\" => \"Wind Gust [knots]\",\n \"ts\" => \"Observation Time [local]\", \"feel\" => \"Feels Like\", \"peak\" => \"Wind Gust\",\n \"min_tmpf\" => \"Today's Low Temperature\", \"peak_ts\" => \"Time of Wind Gust\",\n \"max_tmpf\" => \"Today's High Temperature\", \"name\" => \"Station Name\",\n \"sid\" => \"Station ID\", \"relh\" => \"Relative Humidity\", \"vsby\" => \"Visibility\"\n);\n\n$nselect = selectNetworkType(\"RWIS\", $network);\n$uri = \"current.phtml?network={$network}&sortcol=\";\n\n$mydata = array();\n\n$arr = array(\n \"network\" => $network,\n);\n$jobj = iemws_json(\"currents.json\", $arr);\n\nforeach ($jobj[\"data\"] as $bogus => $ob) {\n $key = $ob[\"station\"];\n $mydata[$key] = $ob;\n $mydata[$key][\"ts\"] = new DateTime($ob[\"local_valid\"]);\n $mydata[$key][\"relh\"] = $ob[\"relh\"];\n $mydata[$key][\"feel\"] = $ob[\"feel\"];\n if ($mydata[$key][\"dwpf\"] > $mydata[$key][\"tmpf\"]) {\n $mydata[$key][\"feel\"] = \"\";\n $mydata[$key][\"dwpf\"] = \"\";\n }\n if ($mydata[$key][\"relh\"] > 100 || $mydata[$key][\"relh\"] < 0) {\n $mydata[$key][\"feel\"] = \"\";\n $mydata[$key][\"dwpf\"] = \"\";\n $mydata[$key][\"relh\"] = \"\";\n }\n if ($mydata[$key][\"tmpf\"] > 120 || $mydata[$key][\"tmpf\"] < -40) {\n $mydata[$key][\"feel\"] = \"\";\n $mydata[$key][\"dwpf\"] = \"\";\n $mydata[$key][\"relh\"] = \"\";\n $mydata[$key][\"tmpf\"] = \"\";\n $mydata[$key][\"min_tmpf\"] = \"\";\n $mydata[$key][\"max_tmpf\"] = \"\";\n }\n if ($mydata[$key][\"vsby\"] < 0) {\n $mydata[$key][\"vsby\"] = \"\";\n } else {\n $mydata[$key][\"vsby\"] = myround($mydata[$key][\"vsby\"], 1);\n }\n $mydata[$key][\"peak_ts\"] = null;\n if ($mydata[$key][\"max_gust\"] > $mydata[$key][\"max_sknt\"]) {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_gust\"];\n $mydata[$key][\"peak_ts\"] = new DateTime($mydata[$key][\"local_max_gust_ts\"]);\n } else {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_sknt\"];\n if ($mydata[$key][\"local_max_sknt_ts\"]) {\n $mydata[$key][\"peak_ts\"] = new DateTime($mydata[$key][\"local_max_sknt_ts\"]);\n }\n }\n\n if ($mydata[$key][\"sknt\"] < 0) {\n $mydata[$key][\"sknt\"] = \"\";\n $mydata[$key][\"drct\"] = \"\";\n }\n}\n\n$finalA = array();\n$finalA = aSortBySecondIndex($mydata, $sortcol, \"desc\");\n$i = 0;\n$now = time();\n$skippedStations = array();\n$table = \"\";\n// Loop though all data\nforeach ($finalA as $key => $val) {\n $parts = $finalA[$key];\n $tdiff = $now - strtotime($parts[\"utc_valid\"]);\n\n if ($tdiff > 6900) {\n $skippedStations[$key] = $parts;\n continue;\n }\n\n $i++;\n\n $table .= \"\";\n $table .= \"\";\n $table .= \"\" . $parts[\"name\"] . \" 11900) {\n $table .= 'bgcolor=\"red\"';\n $format = \"M-d-Y h:i A\";\n } else if ($tdiff > 6900) {\n $table .= 'bgcolor=\"orange\"';\n } else if ($tdiff > 1800) {\n $table .= 'bgcolor=\"green\"';\n }\n $table .= \">\" . $parts[\"ts\"]->format($format) . \"\n \" . myround($parts[\"tmpf\"], 1) . \"(\" .\n myround($parts[\"max_tmpf\"], 1) . \"/\" .\n myround($parts[\"min_tmpf\"], 1) . \")\n \" . myround($parts[\"dwpf\"], 1) . \"\n \" . myround($parts[\"feel\"], 0) . \"\n \" . myround($parts[\"relh\"], 0) . \"\n \" . $parts[\"vsby\"] . \"\n \" . myround($parts[\"sknt\"], 0);\n if (!is_null($parts[\"gust\"]) && strlen($parts[\"gust\"]) > 0 && $parts[\"gust\"] > 0) {\n $table .= \"G\" . myround($parts[\"gust\"], 0);\n }\n $table .= \"\";\n if (! is_null($parts[\"peak_ts\"])){\n $table .= \"\" . $parts[\"drct\"] . \"\n \" . myround($parts[\"peak\"], 0) . \"@ \" . $parts[\"peak_ts\"]->format(\"h:i A\") . \"\n \" . myround($parts[\"pday\"], 2) . \"\";\n }\n \n $table .= \"\\n\";\n}\n\nforeach ($skippedStations as $key => $parts) {\n $table .= \"\";\n $table .= \"\";\n $table .= \"\" . $parts[\"name\"] . \"\" . $parts[\"ts\"]->format($format) . \"Site Offline\\n\";\n}\n\n$content = <<\n{$nselect}\n\n\n\n
    \n\n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n\n\n{$table}\n\n
    ADD:Station:Ob TimeTemps °F  Wind [knots]Precip
    \n Air\n (Hi /\n Lo)\nDewPFeelsRH%VisSpeedDirectionGust\n @TimeAccum [1]
    \n\n\n\n
    \n\n

    \n\nNotes:
    \n1 Not all sites have the ability to measure precip nor visibility.
    \n2 The Iowa City (I-80) RWIS site does not have atmospheric sensors on it\n, so it is not included on this page.
    \n\nEOM;\n$t->content = $content;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/RWIS/currentSF.phtml", "content": "current_network = \"RWIS Surface\";\n$network = isset($_GET['network']) ? xssafe($_GET['network']) : 'IA_RWIS';\n$sortcol = isset($_GET['sortcol']) ? xssafe($_GET['sortcol']) : 'ts';\nif ($sortcol == \"sname\") $sortcol = \"name\";\n$t->title = \"RWIS Surface Currents\";\n$t->refresh = 600;\n\n$vals = array(\n \"tsf0\" => \"Sensor 1 - Temp [F]\",\n \"tmpf\" => \"Air Temp [F]\",\n \"dwpf\" => \"Dew Point [F]\",\n \"tsf1\" => \"Sensor 2 - Temp [F]\",\n \"tsf2\" => \"Sensor 3 - Temp [F]\",\n \"tsf3\" => \"Sensor 4 - Temp [F]\",\n \"pave_avg\" => \"Ave Surf Temp\",\n \"dry0\" => \"Sensor 1 - Cond [F]\",\n \"dry1\" => \"Sensor 2 - Cond [F]\",\n \"dry2\" => \"Sensor 3 - Cond [F]\",\n \"dry3\" => \"Sensor 4 - Cond [F]\",\n \"ts\" => \"Observation Time\",\n \"name\" => \"Site Name\",\n);\nif (!array_key_exists($sortcol, $vals)) {\n xssafe(\"\");\n}\n\n$t->breadcrumbs = <<\n
  • RWIS
    • \n
  • Current Conditions
    • \n\nEOM;\n$nselect = \"\";\n\n\n$mydata = array();\n$arr = array(\n \"network\" => $network,\n);\n$jobj = iemws_json(\"currents.json\", $arr);\n\nforeach ($jobj[\"data\"] as $bogus => $ob) {\n $key = $ob[\"station\"];\n $mydata[$key] = $ob;\n $mydata[$key][\"ts\"] = strtotime($ob[\"local_valid\"]);\n\n if ($mydata[$key]['tmpf'] < -60) {\n $mydata[$key]['tmpf'] = \"M\";\n $mydata[$key]['dwpf'] = \"M\";\n }\n\n $t2 = array(\n $mydata[$key]['tsf0'], $mydata[$key]['tsf1'],\n $mydata[$key]['tsf2'], $mydata[$key]['tsf3']\n );\n arsort($t2);\n\n while (min($t2) == -99) {\n $ba = array_pop($t2);\n if (sizeof($t2) == 0) break;\n }\n\n asort($t2);\n if (sizeof($t2) > 0) {\n while ((max($t2) - min($t2)) > 20) {\n $ba = array_pop($t2);\n }\n $mydata[$key]['pave_avg'] = array_sum($t2) / sizeof($t2);\n } else {\n $mydata[$key]['pave_avg'] = -99.99;\n }\n}\n\n$table = \"\";\n$finalA = array();\n$finalA = aSortBySecondIndex($mydata, $sortcol);\n$i = 0;\n$now = time();\nforeach ($finalA as $key => $parts) {\n $i++;\n $tdiff = $now - $parts[\"ts\"];\n $table .= \"\";\n $table .= \"\";\n $table .= \"\" . $parts[\"name\"] . \"\";\n $table .= \" 11900) {\n $table .= ' bgcolor=\"red\">' . date(\"M-d-Y h:i A\", $parts[\"ts\"]) . '';\n } else if ($tdiff > 7200) {\n $table .= ' bgcolor=\"orange\">' . date(\"M-d h:i A\", $parts[\"ts\"]) . '';\n } else if ($tdiff > 3600) {\n $table .= ' bgcolor=\"green\">' . date(\"h:i A\", $parts[\"ts\"]) . '';\n } else {\n $table .= '>' . date(\"h:i A\", $parts[\"ts\"]) . '';\n }\n if ($parts[\"tsf0\"] < -90) $tmpf0 = \"M\";\n else $tmpf0 = round($parts[\"tsf0\"], 1);\n if ($parts[\"tsf1\"] < -90) $tmpf1 = \"M\";\n else $tmpf1 = round($parts[\"tsf1\"], 1);\n if ($parts[\"tsf2\"] < -90) $tmpf2 = \"M\";\n else $tmpf2 = round($parts[\"tsf2\"], 1);\n if ($parts[\"tsf3\"] < -90) $tmpf3 = \"M\";\n else $tmpf3 = round($parts[\"tsf3\"], 1);\n if ($parts[\"pave_avg\"] < -90) $pave_avg = \"M\";\n else $pave_avg = round($parts[\"pave_avg\"], 1);\n\n $table .= <<< EOM\n{$parts[\"tmpf\"]}{$parts[\"dwpf\"]}\n{$tmpf0} ({$parts[\"scond0\"]})\n{$tmpf1} ({$parts[\"scond1\"]})\n{$tmpf2} ({$parts[\"scond2\"]})\n{$tmpf3} ({$parts[\"scond3\"]})\n{$pave_avg}\n\nEOM;\n}\n\n$content = <<\n{$nselect}\n\n

    \n\n\n

    Current RWIS Surface Conditions

    \n\n

    ** This page will automatically refresh every 10 minutes.\n
    Click on a column to sort it.

    \n\n

    Sorted by: {$vals[$sortcol]}
    \n\n\n

    \n\n\n\n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n{$table}\n\n
    ADD:Station:Ob TimeAir:Sensor 1Sensor 2Sensor 3Sensor 4 
    TempDew PTempTempTempTempAve Surface Temp [1]
    \n\n\n\n
    \n\n\n

    \n\nNotes:
    \n1 The average surface temperature is calculated by the IEM using some\nlogic to account for sites without 4 sensors or broken sensors.\n\n\n

    \nEOM;\n$t->content = $content;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/RWIS/index.phtml", "content": "\\n\";\nforeach ($cameras as $id => $cam) {\n if ($cam[\"network\"] != \"IDOT\") {\n continue;\n }\n $base = substr($id, 0, 8);\n if (!array_key_exists($base, $cdict)) {\n $cdict[$base] = 0;\n }\n $cdict[$base] += 1;\n\n if (substr($id, 9, 2) == \"00\") {\n $selectform .= \"\";\n }\n}\n$selectform .= \"\\n\";\n\n$t = new MyView();\n$t->title = \"Roadway Weather Information System (RWIS) Data\";\n\n$camimgs = \"\";\nfor ($i = 0; $i < $cdict[$camid]; $i++) {\n $camimgs .= sprintf(\n \"
    \",\n $camid,\n $i,\n time()\n );\n}\n\n\n$t->content = <<\n
    \n
    \n

    Roadway Weather Information System

    \n

    \n The IEM curates an archive of RWIS information. The Iowa data has been provided by the Iowa DOT through a long standing partnership since the founding of the IEM. Data for other states is provided via the NOAA MADIS system.\n

    \n
    \n
    \n Iowa RWIS Locations\n
    \n
    \n\n
    \n
    \n

    Roadside Webcams

    \n
    \n RWIS Archive Viewer\n IEM Webcam Viewer\n
    \n
    \n
    \n
    \n
    \n \n
    \n
    \n {$selectform}\n
    \n
    \n \n
    \n
    \n
    \n {$camimgs}\n
    \n
    \n
    \n\n
    \n
    \n
    \n
    \n

    Current Conditions

    \n \n

    Time Series Plots

    \n \n

    Plots with RWIS data

    \n \n
    \n
    \n
    \n
    \n
    \n
    \n

    Station Plot with NEXRAD

    \n \n
    \n
    \n
    \n
    \n
    \n
    \n

    Data Download

    \n \n

    Comparisons

    \n \n

    QC Info

    \n \n
    \n
    \n
    \n
    \n
    \nEOM;\n\n$t->render(\"single.phtml\");\n" }, { "path": "htdocs/RWIS/soil.phtml", "content": " \"Station Name\",\n \"valid\" => \"Observation Time\",\n \"tmpf_1in\" => \"1 inch Depth Temperature\",\n \"tmpf_3in\" => \"3 inch Depth Temperature\",\n \"tmpf_6in\" => \"6 inch Depth Temperature\",\n \"tmpf_9in\" => \"9 inch Depth Temperature\",\n \"tmpf_12in\" => \"12 inch Depth Temperature\",\n \"tmpf_18in\" => \"18 inch Depth Temperature\",\n \"tmpf_24in\" => \"24 inch Depth Temperature\",\n \"tmpf_30in\" => \"30 inch Depth Temperature\",\n \"tmpf_36in\" => \"36 inch Depth Temperature\",\n \"tmpf_42in\" => \"42 inch Depth Temperature\",\n \"tmpf_48in\" => \"48 inch Depth Temperature\",\n \"tmpf_54in\" => \"54 inch Depth Temperature\",\n \"tmpf_60in\" => \"60 inch Depth Temperature\",\n \"tmpf_66in\" => \"66 inch Depth Temperature\",\n \"tmpf_72in\" => \"72 inch Depth Temperature\",\n);\nif (!array_key_exists($sortcol, $vals)){\n die(\"Invalid sortcol provided\");\n}\n\n/* Query out the data */\n$stname = iem_pg_prepare($dbconn, \"select t.valid, s.name as sname,\n max(case when sensor_id = 1 then temp else null end) as tmpf_1in,\n max(case when sensor_id = 3 then temp else null end) as tmpf_3in,\n max(case when sensor_id = 6 then temp else null end) as tmpf_6in,\n max(case when sensor_id = 9 then temp else null end) as tmpf_9in,\n max(case when sensor_id = 12 then temp else null end) as tmpf_12in,\n max(case when sensor_id = 18 then temp else null end) as tmpf_18in,\n max(case when sensor_id = 24 then temp else null end) as tmpf_24in,\n max(case when sensor_id = 30 then temp else null end) as tmpf_30in,\n max(case when sensor_id = 36 then temp else null end) as tmpf_36in,\n max(case when sensor_id = 42 then temp else null end) as tmpf_42in,\n max(case when sensor_id = 48 then temp else null end) as tmpf_48in,\n max(case when sensor_id = 54 then temp else null end) as tmpf_54in,\n max(case when sensor_id = 60 then temp else null end) as tmpf_60in,\n max(case when sensor_id = 66 then temp else null end) as tmpf_66in,\n max(case when sensor_id = 72 then temp else null end) as tmpf_72in\n from rwis_soil_data t, stations s\n where s.remote_id = t.location_id GROUP by sname, valid\n ORDER by $sortcol DESC NULLS LAST\");\n$rs = pg_execute($dbconn, $stname, array());\n\n$t->title = \"RWIS Current Soil Probe Data\";\n$t->refresh = 600;\n\n$t->current_network = \"RWIS Soil\";\n\nfunction fancytime($strtime)\n{\n $now = time();\n $ts = strtotime($strtime);\n if (($now - $ts) < 600) {\n return date(\"h:i A\", $ts);\n } else {\n return date(\"M d h:i A\", $ts);\n }\n}\nfunction f($val)\n{\n return $val;\n}\n\n\n$data = array();\n$table = \"\";\nwhile ($row = pg_fetch_assoc($rs)) {\n $table .= sprintf(\n \"%s%s\n %s%s%s%s\n %s%s%s%s%s\n %s%s%s%s%s\n %s\\n\",\n $row[\"sname\"],\n fancytime($row[\"valid\"]),\n f($row[\"tmpf_1in\"]),\n f($row[\"tmpf_3in\"]),\n f($row[\"tmpf_6in\"]),\n f($row[\"tmpf_9in\"]),\n f($row[\"tmpf_12in\"]),\n f($row[\"tmpf_18in\"]),\n f($row[\"tmpf_24in\"]),\n f($row[\"tmpf_30in\"]),\n f($row[\"tmpf_36in\"]),\n f($row[\"tmpf_42in\"]),\n f($row[\"tmpf_48in\"]),\n f($row[\"tmpf_54in\"]),\n f($row[\"tmpf_60in\"]),\n f($row[\"tmpf_66in\"]),\n f($row[\"tmpf_72in\"])\n );\n}\n\n$t->content = <<Iowa RWIS Soil Probe Data\n\n

    ** This page will automatically refresh every 10 minutes.\n
    Click on a column to sort it.

    \n\n

    Sorted by: {$vals[$sortcol]}
    \n\n\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n{$table}\n\n
    Station:Ob TimeSoil Problems Located at Specified Depth
    13691218243036424854606672
    \n\n\n\n

    \nEOM;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/RWIS/traffic.phtml", "content": "current_network = \"RWIS Traffic\";\nrequire_once \"../../include/database.inc.php\";\n$dbconn = iemdb(\"iem\");\n$sortcol = isset($_GET['sortcol']) ? xssafe($_GET['sortcol']): 'valid';\n\n/* Query out the data */\n$stname = iem_pg_prepare($dbconn, <<title = \"RWIS Current Traffic Data\";\n $t->refresh = 600;\n\n function fancytime($strtime){\n if (is_null($strtime)) return \"\";\n $now = time();\n $ts = strtotime($strtime);\n if (($now - $ts) < 600){ return date(\"h:i A\", $ts); }\n else { return date(\"M d h:i A\", $ts); }\n }\n $vals = Array(\n \"name\" => \"Station Name\",\n \"valid\" => \"Observation Time\",\n \"avg_speed\" => \"Average Speed [mph]\",\n \"normal_vol\" => \"2 Axel Volume\",\n \"long_vol\" => \"3+ Axel Volume\",\n \"occupancy\" => \"Occupancy\",\n );\n\n $table = \"\";\n for($i=0;$row=pg_fetch_assoc($rs);$i++){\n $table .= sprintf(\"%s%s%s%.1f%s%s%s\\n\",\n $row[\"station_name\"], $row[\"name\"], fancytime($row[\"valid\"]), $row[\"avg_speed\"],\n $row[\"normal_vol\"], $row[\"long_vol\"], $row[\"occupancy\"]);\n }\n\n$t->content = <<Iowa RWIS Traffic Data\n\n

    ** This page will automatically refresh every 10 minutes.\n
    Click on a column to sort it.

    \n\n

    Sorted by: {$vals[$sortcol]}
    \n\n\n\n \n \n \n \n \n \n \n\n\n\n{$table}\n\n
    Station:Lane ID:Ob TimeAverage Speed2 axel volume3+ axel volumeOccupancy
    \n\n\n\n

    \nEOM;\n$t->render(\"sortables.phtml\");\n" }, { "path": "htdocs/agclimate/ames_precip.phtml", "content": "title = \"ISUSM - Ames Second Tipping Bucket Printout\";\n\n$table = file_get_contents($INTERNAL_BASEURL . \"/agclimate/ames_precip.py\");\n\n$t->content = <<\n

  • ISU Soil Moisture Network
    • \n
  • Ames AEA Farm Dual Tipping Bucket
    • \n\n\n\n

    Ames ISU Ag Farm Dual Tipping Bucket

    \n\n

    During the fall of 2017, a second tipping bucket was installed at the Ames\nISU Ag Farm location. Here's a diagnostic printout of the observations. The\nCOOP total shown is a 24-hour value at 4 PM, not hourly like the buckets at\n4 PM.

    \n\n{$table}\n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/current.phtml", "content": " \"ISUSM\",\n);\n$jobj = iemws_json(\"currents.json\", $arr);\n\nfunction pretty($val, $fmt)\n{\n // Pretty print things for the table\n if (is_null($val)) {\n return \"M\";\n }\n return sprintf($fmt, $val);\n}\n\n$table = <<\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nEOM;\n$offline = array();\n$threshold = time() - 86400;\nforeach ($jobj[\"data\"] as $bogus => $data) {\n $sid = $data[\"station\"];\n $uri = sprintf(\"/sites/site.php?station=%s&network=ISUSM\", $sid);\n\n $ts = strtotime($data[\"local_valid\"]);\n if ($ts < $threshold) {\n $offline[] = sprintf(\n \"%s\",\n $uri,\n $nt->table[$sid]['name']\n );\n continue;\n }\n $gts = is_null($data[\"local_max_gust_ts\"]) ? \"\": date(\"g:i A\", strtotime($data['local_max_gust_ts']));\n $table .= sprintf(\n \"\" .\n \"\" .\n \"\" .\n \"\" .\n \"\" .\n \"\" .\n \"\",\n $sid,\n $uri,\n $nt->table[$sid]['name'],\n date(\"g:i A\", $ts),\n pretty($data[\"tmpf\"], '%.1f'),\n pretty($data[\"max_tmpf\"], '%.1f'),\n pretty($data[\"min_tmpf\"], '%.1f'),\n pretty($data[\"dwpf\"], '%.1f'),\n drct2txt($data[\"drct\"]),\n pretty($data[\"sknt\"] * 1.15, '%.0f'),\n pretty($data['gust'] * 1.15, '%.0f'),\n pretty($data['max_gust'] * 1.15, '%.0f'),\n $gts,\n pretty($data['pday'], '%.2f'),\n pretty($data[\"c1tmpf\"], '%.1f'),\n pretty($data[\"c2tmpf\"], '%.1f'),\n ($data[\"c2smv\"] < 0) ? \"Frozen\" : pretty($data[\"c2smv\"], '%.1f'),\n pretty($data[\"c3tmpf\"], '%.1f'),\n ($data[\"c3smv\"] < 0) ? \"Frozen\" : pretty($data[\"c3smv\"], '%.1f'),\n pretty($data[\"c4tmpf\"], '%.1f'),\n ($data[\"c4smv\"] < 0) ? \"Frozen\" : pretty($data[\"c4smv\"], '%.1f')\n );\n}\n\n$table .= <<\n
    Add:LocationValidAir Temp °FDew Pt °FWind MPHToday's Rain inch4 inches12 inches24 inches50 inches
    ObHighLowSpeedGustToday's PeakTemp °FTemp °FMoist %Temp °FMoist %Temp °FMoist %
    %s%s%s%s%s%s%s @ %s%s%s @ %s%s%s%s%s%s%s%s%s
    \n\n\n\n\nEOM;\nif (sizeof($offline) > 0) {\n $table .= sprintf(\"
    Sites Offline: %s\", implode(\", \", $offline));\n}\n$v = isset($_REQUEST[\"v\"]) ? htmlentities($_REQUEST[\"v\"]) : 'tmpf';\n$t = new MyView();\n$t->current_network = \"ISU Soil Moisture\";\n$t->title = \"ISU Ag Climate Sortable Currents\";\n$t->refresh = 300;\n\n$t->breadcrumbs = <<\n
  • ISU Soil Moisture Network
    • \n
  • Sortable Currents
    • \n \nEOM;\n$t->content = <<This table provides the most recent hourly observations collected from the\nnetwork. The data was provided by this JSON webservice.

    \n\n
    \n{$table}\n\nEOM;\n\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/agclimate/display.php", "content": "title = \"Ag Climate\";\n$prod = get_int404(\"prod\", 1);\n$year = get_int404(\"year\", date(\"Y\"));\n$month = get_int404(\"month\", date(\"m\"));\n\n$old2new = array(\n \"/data/agclimate/air-temp-out.png\" => 1,\n \"/data/agclimate/4in-temp-out.png\" => 2,\n \"/agclimate/daily_pics/4in-temp-out.png\" => 2,\n \"/data/agclimate/soil-hilo-out.png\" => 3,\n \"/agclimate/daily_pics/soil-hilo-out.png\" => 3,\n \"/data/agclimate/rad-out.png\" => 4,\n \"/data/agclimate/prec-out.png\" => 5,\n \"/data/agclimate/et-out.png\" => 6,\n \"/data/agclimate/pk-wind-out.png\" => 7,\n \"/data/agclimate/avewind-out.png\" => 8,\n \"/data/agclimate/mon-et-out.png\" => 10,\n \"/data/agclimate/mon-prec-out.png\" => 11\n);\n\n// Legacy\n$src = get_str404(\"src\", null);\nif (!is_null($src) && array_key_exists($src, $old2new)) {\n $prod = $old2new[$src];\n}\n\n$data = array(\n 1 => array(\n \"mapurl\" => \"/data/agclimate/air-temp-out.png\",\n \"desc\" => \"High and low air temperature for a local day. Measurements are \n made at a 2 meter height.\",\n ),\n 2 => array(\n \"mapurl\" => \"/data/agclimate/4in-temp-out.png\",\n \"desc\" => \"Average 4 inch soil depth temperature. Usually under a \n bare soil.\",\n ),\n 3 => array(\n \"mapurl\" => \"/data/agclimate/soil-hilo-out.png\",\n \"desc\" => \"High and low 4 inch soil depth temperature. Usually under a \n bare soil.\",\n ),\n 4 => array(\n \"mapurl\" => \"/data/agclimate/rad-out.png\",\n \"desc\" => \"Daily total (direct + diffuse) solar radiation.\",\n ),\n 5 => array(\n \"mapurl\" => \"/data/agclimate/prec-out.png\",\n \"desc\" => \"Daily total precipitation. This is measured with a non-heated tipping bucket located near the ground. These reported values should be\nused with extreme caution. For various reasons, the reported values are \noften too low.\",\n ),\n 6 => array(\n \"mapurl\" => \"/data/agclimate/et-out.png\",\n \"desc\" => \"Potential maximum estimated evapotranspiration. This value uses\n a daily Penman formulation with a crop coefficient of 1.\",\n ),\n 7 => array(\n \"mapurl\" => \"/data/agclimate/pk-wind-out.png\",\n \"desc\" => \"Peak 5 second sustained wind gust. The value is presented along\n with the time using a 24 hour clock. For example, 18:00 would be 6 PM.\n Values are in local time, either CDT or CST depending on the time of\n year.\",\n ),\n 8 => array(\n \"mapurl\" => \"/data/agclimate/avewind-out.png\",\n \"desc\" => \"Average wind speed for the day as recorded by the data logger\n on the station.\",\n ),\n 10 => array(\n \"mapurl\" => \"/GIS/apps/agclimate/month.php?dvar=dailyet&year=$year&month=$month\",\n \"desc\" => \"Monthly total of daily maximum potential evapotranspiration. The\n daily value is calculated via a Penman formulation with a crop\n coefficient of 1. The value would be a theoretical maximum.\"\n ),\n 11 => array(\n \"mapurl\" => \"/GIS/apps/agclimate/month.php?dvar=rain_in_tot&year=$year&month=$month\",\n \"desc\" => \"Monthly total of daily reported precipitation. This is measured with a non-heated tipping bucket located near the ground. These reported values should be\nused with extreme caution. For various reasons, the reported values are \noften too low.\"\n ),\n 12 => array(\n \"mapurl\" => \"/data/agclimate/chill-sum.png\",\n \"desc\" => \"The Standard Chill Unit map is a summation of hours during \n which the temperature was between 32 and 45 degrees after \n 1 September. The value has application for \n fruit growers in the state. The departure from average is also \n presented. This average is computed from the observational record at\n the site.\"\n ),\n);\n\n$extra = \"\";\nif ($prod == 10 || $prod == 11) {\n $extra .= \"
    \";\n $extra .= \"\";\n $extra .= \"Select Year: \" . yearSelect(1987, $year);\n $extra .= \"Select Month: \" . monthSelect($month, \"month\");\n $extra .= \"\";\n $extra .= '
    ';\n}\n\n$t->content = <<\n\n\n{$extra}\n\n\"ISU\n\n

    Plot Description:
    \n{$data[$prod][\"desc\"]}\n\n

    QC Flags:\n\n\n \n \n\n\n \n \n\n\n \n \n\n\n \n \n\n
    Mthe data is missing
    EAn instrument may be flagged until repaired
    REstimate based on weighted linear regression from surrounding stations
    eWe are not confident of the estimate
    \n\n\n\n

    \n\n\n\n\n

     

    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/et.phtml", "content": "title = \"ISUSM - Evapotranspiration Details\";\n\n$t->content = <<\n
  • ISU Soil Moisture Network
    • \n
  • ET Details
    • \n\n\n

    Evapotranspiration Details

    \n\n

    Evapotranspiration (ET) is a term that describes the transport of water from\n the ground surface and soil to the atmosphere. This includes processes like\n evaporation of liquid water and transpiration done by vegetation. It is\n an important part of the Water Cycle and knowing the amount of ET happening\n during the growing season is important for usage in modelling, irrigation,\n and crop management.

    \n\n

    So lets 'observe' ET!

    \n\n

    Directly measuring ET is not practical as you would have to somehow account\n for every molecule of water vapor and know its exact source to know if it\n contributed to the local ET. The most common approach to directly\n measuring ET is very expensive as it involves tracking air flow and\n moisture in 3 dimensions. Another approach is through the usage of a\n lysimeters, which attempt to keep an accounting of soil water.

    \n\n

    So when all else fails, we can produce model estimates based on more\n commonly collected data. That is what the legacy ISU AgClimate Network\n and now ISU Soil Moisture Network has done. This page attempts to fully\n document the equations used and the application caveats of the data.

    \n\n

    Estimating Evapotranspiration

    \n\n
    The estimation techniques described should apply\n for both the legacy ISU AgClimate Network and the current ISU Soil\n Moisture Network.
    \n\n

    Hourly estimates of ET are made by a set of equations found on the Campbell\n Scientific Data Logger. These hourly values are then summed to produce\n calendar day totals to avoid confusion with having slightly conflicting\n ET values for a given day.

    \n\n

    The hourly ET is estimated by the ASCE Standardized Reference Evapotranspiration Equation\n , which assumes a reference tall crop (alfalfa). The equation is as follows,\n taken from the aforementioned reference.\n\n
    \"Reference

    \n\n

    The terms are defined as:\n \n\n\n \n \n \n \n \n\n \n \n \n \n \n\n \n \n \n \n \n \n\n
    SymbolDescriptionUnits
    ΔSlope of the vapor pressure-tempertaure curve, estimated by using\n the mean temperature for the day or hour.kPa °C-1
    RnNet Radition. This is the combination of received shortwave minus\n the amount reflected by the crop (albedo) and longwave transmitted by\n the soil.MJ m-2 d-1
    GGround Soil Heat Flux.MJ m-2 d-1
    \n \n

    References:\n

      \n
    1. Wikipedia's Evapotranspiration
      2. \n
    2. ASCE Standardized Reference ET
      3. \n
    3. FAO 56
      4. \n
    4. Python Implementation of FAO 56 and other equations
      5. \n

    \n\nEOM;\n\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/hist/daily.php", "content": "iem_resource = \"ISUSM\";\n$t->title = \"ISU Soil Moisture Daily Data Request\";\n\n$nt = new NetworkTable(\"ISUSM\");\n\n$yselect = yearSelect(2013, date(\"Y\"), \"year1\");\n$mselect = monthSelect(1, \"month1\");\n$dselect = daySelect(1, \"day1\");\n$yselect2 = yearSelect(2013, date(\"Y\"), \"year2\");\n$mselect2 = monthSelect(date(\"m\"), \"month2\");\n$dselect2 = daySelect(date(\"d\"), \"day2\");\n\n$sselect = \"\";\nforeach ($nt->table as $key => $val) {\n $sselect .= sprintf(\n '
    ' .\n ' ' .\n '' .\n '
    ',\n $key,\n $key,\n $key,\n $val[\"name\"],\n $val[\"county\"],\n $key\n );\n}\n\n$soilopts = \"\";\n$levels = array(4, 12, 24, 50);\nforeach ($levels as $key => $val) {\n $soilopts .= sprintf(\n '
    ' .\n ' ' .\n '
    ' . \"\\n\",\n $val,\n $val,\n $val,\n $val\n );\n $soilopts .= sprintf(\n '
    ' .\n ' ' .\n '
    ' . \"\\n\",\n $val,\n $val,\n $val,\n $val\n );\n $soilopts .= sprintf(\n '
    ' .\n ' ' .\n '
    ' . \"\\n\",\n $val,\n $val,\n $val,\n $val\n );\n}\n\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Daily Download
      3. \n
    \n\n\n{$box}\n\n
    \n
    \n

    Daily Data Request Form

    \n
    \n
    \n\n
    \nInformation: This interface accesses the archive of daily weather \ndata collected from the Iowa State Agclimate Automated Weather stations. Please\nselect the stations and weather variables desired below.\n
    \n\n
    \nData Interval: Currently you are selected to download daily data. \nYou may wish to change this to hourly data.\n
    \n\n

    \n Backend documentation exists for those\nwishing to script against this data service.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    Select station(s):
    \n

    View station metadata

    \n{$sselect}\n
    \n\n
    \n
    Select the time interval:
    \n
    \nWhen selecting the time interval, make sure you choose valid dates.\n
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Year:Month:Day:
    Starting On:{$yselect}{$mselect}{$dselect}
    Ending On:{$yselect2}{$mselect2}{$dselect2}
    \n
    \n
    \n\n
    \n
    \n
    Variables
    \n
    \n
    \n\n
    \nSelect from available variables\n
    \n\n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \nBase (°F): \nCeiling (°F): \n
    \n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n\n{$soilopts}\n\n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n\n
    \n\n
    \nVineyard Station-only Variables\nSorry for the cryptic labels, this is a current work in progress.\n
    \n\n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n\n
    \n\n
    \n

    The Ames-AEA, Ames-Kitchen, and Jefferson locations have the\nCS SoilVue 10 installed.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n
    Options
    \n
    \n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n{$qcbox}\n\n
    \n
    Submit your request:
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n\n\n
    \n
    \n\n
    \n
    \n

    Meaning of Data Columns

    \n
    \n
    \n\n
    \n
    station
    \n
    National Weather Service Location Identifier for the\nsite. This is a five character identifier.
    \n\n
    valid
    \n
    Date of the observation
    \n\n
    high
    \n
    High Temperature [F]
    \n
    low
    \n
    Low Temperature [F]
    \n
    rh
    \n
    Average Relative Humidity [%]
    \n
    rh_max
    \n
    Maximum Relative Humidity based on hourly observations [%]
    \n
    rh_min
    \n
    Minimum Relative Humidity based on hourly observations [%]
    \n
    gdd50
    \n
    Growing Degree Days [F]
    \n
    solar
    \n
    Solar Radiation [J/m^2]
    \n
    precip
    \n
    Precipitation [inch]
    \n
    speed
    \n
    Average Wind Speed [mph], 10 minute average, 10 ft above ground
    \n
    gust
    \n
    Peak Wind Gust [mph], 10 minute average, 10 ft above ground
    \n
    et
    \n
    Evapotranspiration [inch]
    \n
    soil04tn
    \n
    Daily Low 4 inch Depth Soil Temperature [F]
    \n
    soil04t
    \n
    Daily Average 4 inch Depth Soil Temperature [F]
    \n
    soil04tx
    \n
    Daily High 4 inch Depth Soil Temperature [F]
    \n
    soil12tn
    \n
    Daily Low 12 inch Depth Soil Temperature [F]
    \n
    soil12t
    \n
    Daily Average 12 inch Depth Soil Temperature [F]
    \n
    soil12tx
    \n
    Daily High 12 inch Depth Soil Temperature [F]
    \n
    soil24tn
    \n
    Daily Low 24 inch Depth Soil Temperature [F]
    \n
    soil24t
    \n
    Daily Average 24 inch Depth Soil Temperature [F]
    \n
    soil24tx
    \n
    Daily High 24 inch Depth Soil Temperature [F]
    \n
    soil50tn
    \n
    Daily Low 50 inch Depth Soil Temperature [F]
    \n
    soil50t
    \n
    Daily Average 50 inch Depth Soil Temperature [F]
    \n
    soil50tx
    \n
    Daily High 50 inch Depth Soil Temperature [F]
    \n
    soil12vwc
    \n
    Average 12 inch Depth Soil Volumetric Water Content [%]
    \n
    soil24vwc
    \n
    Average 24 inch Depth Soil Volumetric Water Content [%]
    \n
    soil50vwc
    \n
    Average 50 inch Depth Soil Volumetric Water Content [%]
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\nEOM;\n$t->render(\"single.phtml\");\n" }, { "path": "htdocs/agclimate/hist/dailyRequest.php", "content": "iem_resource = \"ISUSM\";\n$t->title = \"ISU AgClimate Legacy Daily Data Request\";\n\n$ys = yearSelect(1986, date(\"Y\"), \"startYear\", '', 2014);\n$ms = monthSelect(1, \"startMonth\");\n$ds = daySelect(1, \"startDay\");\n$ys2 = yearSelect(1986, date(\"Y\"), \"endYear\", '', 2014);\n$ms2 = monthSelect(date(\"m\"), \"endMonth\");\n$ds2 = daySelect(date(\"d\"), \"endDay\");\n\n$t->content = <<\n
      \n
    1. ISU AgClimate
      2. \n
    2. Legacy Network Daily Download
      3. \n
    \n\n\n{$box}\n\n
    \n
    \n

    Daily Data Request Form

    \n
    \n
    \n\n

    This interface allows the download of daily summary data from the legacy\nISU AgClimate Network sites. Data for some of these sites exists back \ntill 1986 until they all were removed in 2014. In general, \nthe precipitation data is of poor quality and should not be used.\nPlease see the \nNWS COOP download page \nfor high quality daily precipitation data. If you are looking for hourly \ndata from this network, see this page.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    Select station(s):
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
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    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n
    \n
    Select data:
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
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    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n
    \n
    Select the time interval:
    \n
    \nWhen selecting the time interval, make sure you choose valid dates.\n
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Year:Month:Day:
    Starting On:{$ys}{$ms}{$ds}
    Ending On:{$ys2}{$ms2}{$ds2}
    \n
    \n
    \n\n
    \n
    \n
    Options
    \n
    \n
    \n\n
    \n\n\n
    \n\n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    FlagMeaning
    Mthe data is missing
    EAn instrument may be flagged until repaired
    REstimate based on weighted linear regression from surrounding stations
    eWe are not confident of the estimate
    \n
    \n\n
    \n\n\n
    \n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n
    \nPro-Tip: The downloaded text files should be easily loaded into spreadsheet programs, like Microsoft Excel.\nFrom Microsoft Excel, go to File → Open and set the file type to \"All Files\" or something appropriate for delimited text.\n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    Submit your request:
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n
    \n\n\n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/hist/hourly.php", "content": "iem_resource = \"ISUSM\";\n$t->title = \"ISU Soil Moisture Minute/Hourly Data Request\";\n\n$nt = new NetworkTable(\"ISUSM\");\nrequire_once \"../../../include/agclimate_boxinc.phtml\";\n\n$yselect = yearSelect(2013, 2013, \"year1\");\n$mselect = monthSelect(1, \"month1\");\n$dselect = daySelect(1, \"day1\");\n$yselect2 = yearSelect(2013, date(\"Y\"), \"year2\");\n$mselect2 = monthSelect(date(\"m\"), \"month2\");\n$dselect2 = daySelect(date(\"d\"), \"day2\");\n\n$sselect = \"\";\nforeach ($nt->table as $key => $val) {\n $sselect .= sprintf(\n '
    ' .\n ' ' .\n '' .\n '
    ',\n $key,\n $key,\n $key,\n $key,\n $val[\"name\"],\n $val[\"county\"],\n is_null($val[\"archive_begin\"]) ? \"\" : $val[\"archive_begin\"]->format(\"Y-m-d\"),\n is_null($val[\"archive_end\"]) ? \"today\" : $val[\"archive_end\"]->format(\"Y-m-d\"),\n );\n}\n\n$ar = array(\n \"tmpf\" => \"Air Temperature [°F]\",\n \"relh\" => \"Relative Humidity [%]\",\n \"solar\" => \"Solar Radiation [J/m2]\",\n \"precip\" => \"Precipitation [inch]\",\n \"speed\" => \"Average Wind Speed [mph]\",\n \"drct\" => \"Wind Direction [°]\",\n \"et\" => \"Potential Evapotranspiration [inch]\",\n \"soil04t\" => \"4 inch Soil Temperature [°F]\",\n \"soil12t\" => \"12 inch Soil Temperature [°F]\",\n \"soil24t\" => \"24 inch Soil Temperature [°F]\",\n \"soil50t\" => \"50 inch Soil Temperature [°F]\",\n \"soil12vwc\" => \"12 inch Soil Moisture [%]\",\n \"soil24vwc\" => \"24 inch Soil Moisture [%]\",\n \"soil50vwc\" => \"50 inch Soil Moisture [%]\",\n \"cci\" => \"Comprehensive Climate Index (CCI) No-Shade Effect [unitless]\",\n \"cci_shade\" => \"Comprehensive Climate Index (CCI) Shade Effect [unitless]\",\n \"bp_mb\" => \"Atmospheric Pressure [mb] (only Ames ISU Hort Farm at 15 minute interval)\",\n);\n$vselect = make_checkboxes(\"vars\", \"\", $ar);\n\n$ar = array(\n \"lwmv_1\" => \"lwmv_1\",\n \"lwmv_2\" => \"lwmv_2\",\n \"lwmdry_1_tot\" => \"lwmdry_1_tot\",\n \"lwmcon_1_tot\" => \"lwmcon_1_tot\",\n \"lwmwet_1_tot\" => \"lwmwet_1_tot\",\n \"lwmdry_2_tot\" => \"lwmdry_2_tot\",\n \"lwmcon_2_tot\" => \"lwmcon_2_tot\",\n \"lwmwet_2_tot\" => \"lwmwet_2_tot\",\n \"bpres_avg\" => \"bpres_avg\",\n);\n$vselect2 = make_checkboxes(\"vars\", \"\", $ar);\n\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Minute/Hourly Download
      3. \n
    \n\n\n{$box}\n\n
    \n
    \n

    Minute/Hourly Data

    \n
    \n
    \n\n

    The present data collection interval from this network is every 15 minutes\nfor the vineyard sites and every minute for the others. The minute interval\ndata only started in 2021 though. The default download is to provide the\nhourly data.

    \n\n

    \n Backend documentation exists for those\nwishing to script against this data service.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    Select Time Resolution:
    \n\n
    \n\n
    \n
    Select station(s):
    \n

    View station metadata

    \n\n{$sselect}\n
    \n\n
    \n
    \n\n
    \n
    Select the time interval:
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Year:Month:Day:
    Starting On:{$yselect}{$mselect}{$dselect}
    Ending On:{$yselect2}{$mselect2}{$dselect2}
    \n
    \n
    \n\n
    \n
    \n
    Variables
    \n
    \n
    \n\n
    \nSelect from available variables
    \nReference Evapotranspiration (alfalfa)\n
    \n\n{$vselect}\n\n
    \n\n
    \n

    The Ames-AEA, Ames-Kitchen, Ames-Hinds, and Jefferson locations have the\nCS SoilVue 10 installed,\nbut the depth of installation varies by site with the first depth at\nthe Ames-AEA location being at 14 inches.

    \n\n
    \n\n\n
    \n\n
    or select from the following depths:
    \n\n
    \n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n\n
    \n
    \n\n\n
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    \n\n\n
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    \n\n\n
    \n
    \n\n\n
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    \n\n
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    \n\n\n
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    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n
    \n
    \n\n
    \n\n
    \nVineyard Station-only Variables\n{$vselect2}\n
    \n\n{$qcbox}\n\n
    \n
    \n\n
    \n
    \n
    Options
    \n
    \n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n
    Submit your request:
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n
    \n\n
    \n
    \n

    Description of variables in download

    \n
    \n
    \n\n
    \n
    station
    \n
    National Weather Service Location Identifier for the\nsite. This is a five character identifier.
    \n
    valid
    \n
    Timestamp of the observation either in CST or CDT
    \n
    tmpf
    \n
    Air Temperature [F]
    \n
    relh
    \n
    Relative Humidity [%]
    \n
    solar
    \n
    Solar Radiation [Joule/m2]
    \n
    precip
    \n
    One Hour Precipitation [inch]
    \n
    speed
    \n
    Wind Speed [mph], 10 minute average, 10 ft above ground
    \n
    drct
    \n
    Wind Direction [degrees North], 10 minute average, 10 ft above ground
    \n
    et
    \n
    Potential Evapotranspiration (Alfalfa) [inch]
    \n
    soil04t
    \n
    4 inch Depth Soil Temperature [F]
    \n
    soil12t
    \n
    12 inch Depth Soil Temperature [F]
    \n
    soil24t
    \n
    24 inch Depth Soil Temperature [F]
    \n
    soil50t
    \n
    50 inch Depth Soil Temperature [F]
    \n
    soil12vwc
    \n
    12 inch Depth Soil Volumetric Water Content [%]
    \n
    soil24vwc
    \n
    24 inch Depth Soil Volumetric Water Content [%]
    \n
    soil50vwc
    \n
    50 inch Depth Soil Volumetric Water Content [%]
    \n
    \n\n
    \n
    \n\nEOM;\n$t->render(\"full.phtml\");\n" }, { "path": "htdocs/agclimate/hist/hourlyRequest.php", "content": "iem_resource = \"ISUSM\";\n$t->title = \"ISU AgClimate Legacy Hourly Data Request\";\n\n$ys = yearSelect(1986, date(\"Y\"), \"startYear\", '', 2014);\n$ms = monthSelect(1, \"startMonth\");\n$ds = daySelect(1, \"startDay\");\n$ys2 = yearSelect(1986, date(\"Y\"), \"endYear\", '', 2014);\n$ms2 = monthSelect(date(\"m\"), \"endMonth\");\n$ds2 = daySelect(date(\"d\"), \"endDay\");\n\n$t->content = <<\n
      \n
    1. ISU AgClimate
      2. \n
    2. Legacy Network Hourly Download
      3. \n
    \n \n{$box}\n\n
    \n
    \n

    Hourly Data Request Form

    \n
    \n
    \n\n

    This interface allows the download of hourly data from the legacy\nISU AgClimate Network sites. Data for some of these sites exists back \ntill 1986 until they all were removed in 2014. In general, \nthe precipitation data is of poor quality and should not be used.\nIf you are looking for daily \ndata from this network, see this page.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    Select station(s):
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n\n
    \n
    \n\n
    \n
    Select data:
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n\n
    \n
    \n\n
    \n
    Select the time interval:
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Year:Month:Day:
    Starting On:{$ys}{$ms}{$ds}
    Ending On:{$ys2}{$ms2}{$ds2}
    \n
    \n
    \n\n
    \n
    \n
    Options
    \n
    \n
    \n\n
    \n\n\n
    \n\n
    \n\n\n\n\n\n\n \n \n\n\n \n \n\n\n \n \n\n\n \n \n\n\n
    FlagMeaning
    Mthe data is missing
    EAn instrument may be flagged until repaired
    REstimate based on weighted linear regression from surrounding stations
    eWe are not confident of the estimate
    \n
    \n\n
    \n\n\n
    \n\n
    \n
    \n\n\n
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n
    \n
    Submit your request:
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/hist/inversion.php", "content": "title = \"ISU Soil Moisture Inversion Data Request\";\n\nrequire_once \"../../../include/network.php\";\n$nt = new NetworkTable(\"ISUSM\");\nrequire_once \"../../../include/forms.php\";\nrequire_once \"../../../include/agclimate_boxinc.phtml\";\n\n$yselect = yearSelect(2021, 2021, \"year1\");\n$mselect = monthSelect(1, \"month1\");\n$dselect = daySelect(1, \"day1\");\n$yselect2 = yearSelect(2021, date(\"Y\"), \"year2\");\n$mselect2 = monthSelect(date(\"m\"), \"month2\");\n$dselect2 = daySelect(date(\"d\"), \"day2\");\n\n$sselect = \"\";\n$sites = array(\"BOOI4\", \"CAMI4\", \"CRFI4\");\nforeach ($nt->table as $key => $val) {\n if (!in_array($key, $sites)) {\n continue;\n }\n $sselect .= sprintf(\n '
    ' .\n ' ' .\n '' .\n '
    ',\n $key,\n $key,\n $key,\n $key,\n $val[\"name\"],\n $val[\"county\"],\n is_null($val[\"archive_end\"]) ? \"today\" : $val[\"archive_end\"]->format(\"Y-m-d\"),\n );\n}\n\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Inversion Download
      3. \n
    \n\n\n{$box}\n\n
    \n
    \n

    Minute/Hourly Data

    \n
    \n
    \n\n

    The ISU Soil Moisture Network includes three sites that attempt to measure\ntemperature inversions. This is accomplished by a temperature sensor at heights\nof 1.5, 5, and 10 feet above the ground.

    \n\n
    \n\n\n
    \n
    \n\n
    \n
    Select station(s):
    \n

    View station metadata

    \n\n{$sselect}\n
    \n\n
    \n
    \n\n
    \n
    Select the time interval:
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Year:Month:Day:
    Starting On:{$yselect}{$mselect}{$dselect}
    Ending On:{$yselect2}{$mselect2}{$dselect2}
    \n
    \n
    \n\n
    \n
    \n
    Options
    \n
    \n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n\n\n
    \n\n
    \n
    Submit your request:
    \n
    \n\n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n
    \n\n
    \n
    \n

    Description of variables in download

    \n
    \n
    \n\n
    \n
    station
    \n
    National Weather Service Location Identifier for the\nsite. This is a five character identifier.
    \n
    valid
    \n
    Timestamp of the observation
    \n
    tair_15
    \n
    Air Temperature (F) at 1.5ft above the ground
    \n
    tair_5
    \n
    Air Temperature (F) at 5ft above the ground
    \n
    tair_10
    \n
    Air Temperature (F) at 10ft above the ground
    \n
    speed
    \n
    Wind Speed (mph) at 10ft above the ground
    \n
    gust
    \n
    Wind Gust (mph) at 10ft above the ground
    \n
    \n\n
    \n
    \n\nEOM;\n$t->render(\"full.phtml\");\n" }, { "path": "htdocs/agclimate/hist/worker.php", "content": "table;\n\n$d = array(\"comma\" => \",\", \"tab\" => \"\\t\", \"space\" => \" \");\n\n$vardict = array(\n \"c11\" => \"High Air Temp\",\n \"c12\" => \"Low Air Temp\",\n \"c30\" => \"Daily Average Soil Temp\",\n \"c30l\" => \"Daily Low Soil Temp\",\n \"c30h\" => \"Daily High Soil Temp\",\n \"c40\" => \"Average Wind Vel\",\n \"c509\" => \"Max Wind Vel (1 min)\",\n \"c529\" => \"Max Wind Vel (5 sec)\",\n \"c90\" => \"Daily Precip\",\n \"c20\" => \"Ave RH%\",\n \"c80\" => \"Solar Rad\",\n \"c70\" => \"Potential ET\",\n \"c100\" => \"Air Temp\",\n \"c800\" => \"Solar Radiation\",\n \"c900\" => \"Hourly Precip\",\n \"c300\" => \"4 inch Soil Temp\",\n \"c200\" => \"RH%\",\n \"c400\" => \"Wind Speed\",\n \"c600\" => \"Wind Direction\"\n);\n\n$st = isset($_GET['sts']) ? $_GET['sts'] : array();\n$vars = isset($_GET['vars']) ? $_GET['vars'] : array();\n$s_yr = get_int404('startYear');\n$e_yr = get_int404('endYear');\n$s_mo = get_int404('startMonth');\n$s_dy = get_int404('startDay');\n$e_mo = get_int404('endMonth');\n$e_dy = get_int404('endDay');\n$delim = isset($_GET[\"delim\"]) ? xssafe($_GET['delim']): \"comma\";\n$cr = isset($_GET['lf']) ? \"\\r\\n\" : \"\\n\";\n\n// Error Catching\nif (sizeof($st) == 0) die(\"You did not select a station\");\nif (sizeof($vars) == 0) die(\"You did not select a variable\");\n\n\n$rtype = \"daily\";\nif (isset($_GET[\"startHour\"]))\n $rtype = \"hourly\";\nif (strlen($delim) == 0)\n $delim = \"tab\";\n\n$fvars = array();\nif (isset($_GET[\"qcflags\"])) { // They want QC too!\n foreach ($vars as $var) {\n $fvars[] = $var;\n $fvars[] = $var . \"_f\";\n $vardict[$var . \"_f\"] = \"QC\";\n }\n} else {\n $fvars = $vars;\n}\n$num_vars = sizeof($fvars);\n\n$sts = mktime(0, 0, 0, $s_mo, $s_dy, $s_yr);\n$ets = mktime(0, 0, 0, $e_mo, $e_dy, $e_yr);\n\nif ($sts > $ets) die(\"Your start time is greater than your end time!\");\n\n$stationSQL = \"{\". implode(\",\", $st) .\"}\";\n\n$str_vars = implode(\",\", $fvars);\n$str_sts = date(\"Y-m-d H:00\", $sts);\nif ($rtype == 'hourly') {\n $str_ets = date(\"Y-m-d H:00\", $ets + 86400);\n $tsfmt = \"YYYY-MM-DD HH24:MI\";\n} else {\n $str_ets = date(\"Y-m-d H:00\", $ets);\n $tsfmt = \"YYYY-MM-DD\";\n}\n\nif (isset($_GET[\"todisk\"])) {\n header(\"Content-type: application/octet-stream\");\n header(\"Content-Disposition: attachment; filename=changeme.txt\");\n}\n\necho \"# ISU Ag Climate Download -- Iowa Environmental Mesonet $cr\";\necho \"# For units and more information: $cr\";\necho \"# {$EXTERNAL_BASEURL}/agclimate/info.txt $cr\";\necho \"# Data Contact: $cr\";\necho \"# Daryl Herzmann akrherz@iastate.edu 515.294.5978 $cr\";\n\necho \"Site ID\" . $d[$delim] . \"Site Name\" . $d[$delim] . \"valid\" . $d[$delim];\nfor ($j = 0; $j < $num_vars; $j++) {\n echo $vardict[$fvars[$j]] . $d[$delim];\n}\necho $cr;\n\n$c = iemdb(\"isuag\");\n$rs = array();\n$tbl = sprintf(\"%s\", $rtype);\n$stname = iem_pg_prepare($c, \"SELECT station, to_char(valid, '{$tsfmt}') as dvalid, \n $str_vars from $tbl \n WHERE station = ANY($1) and\n valid BETWEEN '$str_sts' and '$str_ets'\n ORDER by station, valid\");\n$rs = pg_execute($c, $stname, array($stationSQL));\n\nwhile ($row = pg_fetch_assoc($rs)) {\n echo $row[\"station\"] . $d[$delim] . $ISUAGcities[$row[\"station\"]]['name']\n . $d[$delim] . $row[\"dvalid\"] . $d[$delim];\n for ($j = 0; $j < $num_vars; $j++) {\n echo $row[$fvars[$j]] . $d[$delim];\n }\n echo $cr;\n}\n" }, { "path": "htdocs/agclimate/index.css", "content": "/* Modern Bootstrap 5 UI Enhancements */\n\n/* Map styling with modern shadow and border */\n#map {\n width: 100%;\n height: 450px;\n border: 1px solid #dee2e6;\n border-radius: 0.5rem;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n overflow: hidden;\n}\n\n/* Custom popup styling */\n#popup {\n background: white;\n border: 1px solid #dee2e6;\n border-radius: 0.5rem;\n padding: 12px;\n font-size: 13px;\n box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);\n min-width: 200px;\n display: none;\n position: relative;\n z-index: 1000;\n max-width: 300px;\n}\n\n#popup::before {\n content: '';\n position: absolute;\n bottom: -8px;\n left: 50%;\n margin-left: -8px;\n border: 8px solid transparent;\n border-top-color: white;\n}\n\n#popup::after {\n content: '';\n position: absolute;\n bottom: -9px;\n left: 50%;\n margin-left: -8px;\n border: 8px solid transparent;\n border-top-color: #dee2e6;\n z-index: -1;\n}\n\n/* Enhanced form controls */\n#datetimepicker {\n border-radius: 0.375rem;\n border: 1px solid #ced4da;\n padding: 0.5rem 0.75rem;\n font-size: 0.875rem;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n}\n\n#datetimepicker:focus {\n border-color: #86b7fe;\n outline: 0;\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n#varpicker {\n border-radius: 0.375rem;\n border: 1px solid #ced4da;\n padding: 0.5rem 0.75rem;\n font-size: 0.875rem;\n background-color: #fff;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n}\n\n#varpicker:focus {\n border-color: #86b7fe;\n outline: 0;\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n/* Enhanced cards */\n.card {\n border: 0;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n}\n\n.card-header {\n border-bottom: 1px solid #dee2e6;\n padding: 1rem 1.25rem;\n background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);\n}\n\n.card-body {\n padding: 1.5rem;\n}\n\n/* Enhanced buttons */\n.btn {\n border-radius: 0.375rem;\n font-weight: 500;\n border: 1px solid transparent;\n}\n\n.btn-outline-secondary {\n color: #6c757d;\n border-color: #6c757d;\n}\n\n/* Enhanced alerts */\n.alert {\n border: 1px solid transparent;\n border-radius: 0.5rem;\n padding: 1rem;\n margin-bottom: 1rem;\n border-left: 4px solid;\n}\n\n.alert-info {\n background-color: #d1ecf1;\n border-color: #bee5eb;\n color: #0c5460;\n border-left-color: #17a2b8;\n}\n\n.alert-warning {\n background-color: #fff3cd;\n border-color: #ffeaa7;\n color: #856404;\n border-left-color: #ffc107;\n}\n\n.alert-primary {\n background-color: #d1ecf1;\n border-color: #bee5eb;\n color: #0c5460;\n border-left-color: #007bff;\n}\n\n/* Enhanced list groups */\n.list-group-item {\n border: none;\n border-bottom: 1px solid #dee2e6;\n padding: 0.75rem 1.25rem;\n background-color: transparent;\n}\n\n.list-group-item:last-child {\n border-bottom: none;\n}\n\n.list-group-item-action {\n color: #495057;\n text-decoration: none;\n}\n\n/* Temperature inversion styling */\n.inversion-station {\n background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%);\n border: 1px solid #dee2e6;\n border-radius: 0.5rem;\n padding: 1.25rem;\n margin-bottom: 1rem;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n}\n\n.inversion-station img {\n margin-right: 8px;\n vertical-align: middle;\n}\n\n/* Control section styling */\n.control-section {\n background: #ffffff;\n border: 1px solid #dee2e6;\n border-radius: 0.5rem;\n padding: 1.5rem;\n margin-bottom: 1.5rem;\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n}\n\n.control-section h5 {\n color: #495057;\n font-weight: 600;\n margin-bottom: 1rem;\n border-bottom: 2px solid #e9ecef;\n padding-bottom: 0.5rem;\n}\n\n/* Enhanced focus states */\n.form-control:focus,\n.form-select:focus {\n border-color: #86b7fe;\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n/* Responsive design improvements */\n@media (max-width: 768px) {\n #map {\n height: 350px;\n }\n \n .dt {\n font-size: 0.75rem;\n padding: 0.25rem 0.5rem;\n margin-bottom: 0.25rem;\n }\n \n .card-body {\n padding: 1rem;\n }\n \n .control-section {\n padding: 1rem;\n }\n \n .inversion-station {\n padding: 1rem;\n }\n}\n\n@media (max-width: 576px) {\n .container-fluid {\n padding-left: 1rem;\n padding-right: 1rem;\n }\n \n #map {\n height: 300px;\n }\n \n .card-header {\n padding: 0.75rem 1rem;\n }\n \n .card-body {\n padding: 0.75rem;\n }\n}" }, { "path": "htdocs/agclimate/index.js", "content": "/* global ol */\nlet map = null;\nlet gj = null;\nlet invgj = null;\nlet dtpicker = null;\nlet n0q = null;\nlet varname = 'tmpf';\nlet currentdt = new Date();\nlet timeChanged = false;\n\n/**\n * Replace HTML special characters with their entity equivalents\n * @param string val\n * @returns string converted string\n */\nfunction escapeHTML(val) {\n return val.replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\nfunction pad(number) {\n let strnum = String(number);\n if (strnum.length === 1) {\n strnum = `0${strnum}`;\n }\n return strnum;\n};\n\nfunction getN0QSource() {\n // currentdt needs to be rectified to the nearest 5 minute value in the past\n const rectifiedDate = new Date(Math.floor(currentdt.getTime() / (5 * 60 * 1000)) * (5 * 60 * 1000));\n return new ol.source.XYZ({\n url: `https://mesonet.agron.iastate.edu/cache/tile.py/1.0.0/ridge::USCOMP-N0Q-${toIEMString(rectifiedDate)}/{z}/{x}/{y}.png`\n });\n}\n\nfunction toIEMString(val) {\n return `${val.getUTCFullYear()}${pad(val.getUTCMonth() + 1)}${pad(val.getUTCDate())}${pad(val.getUTCHours())}${pad(val.getUTCMinutes())}`;\n};\n\nfunction toISOString(val) {\n return `${val.getUTCFullYear()}-${pad(val.getUTCMonth() + 1)}-${pad(val.getUTCDate())}T${pad(val.getUTCHours())}:${pad(val.getUTCMinutes())}Z`;\n};\n\nfunction logic() {\n timeChanged = true;\n currentdt = new Date(dtpicker.value);\n updateMap();\n}\n\nfunction updateTitle() {\n const selectedOption = document.querySelector('#varpicker option:checked');\n const maptitleDiv = document.getElementById('maptitle');\n\n if (maptitleDiv && selectedOption) {\n // Find the specific text element within the maptitle structure\n const textDiv = maptitleDiv.querySelector('.small');\n if (textDiv) {\n // Format the datetime for display\n const options = {\n year: 'numeric',\n month: 'short',\n day: 'numeric',\n hour: '2-digit',\n minute: '2-digit',\n timeZoneName: 'short'\n };\n const formattedDate = currentdt.toLocaleString('en-US', options);\n textDiv.textContent = `The map is displaying ${selectedOption.textContent} valid at ${formattedDate}`;\n }\n }\n updateURL();\n}\n\nfunction updateURL() {\n const url = new URL(window.location);\n url.searchParams.set('var', varname);\n if (timeChanged) {\n url.searchParams.set('dt', toISOString(currentdt));\n } else {\n url.searchParams.delete('dt');\n }\n // Remove hash if present\n url.hash = '';\n window.history.replaceState({}, '', url);\n}\n\nfunction updateMap() {\n if (currentdt && typeof currentdt !== \"string\") {\n const dt = toISOString(currentdt);\n const uristamp = timeChanged ? `dt=${dt}` : \"\";\n gj.setSource(new ol.source.Vector({\n url: `/geojson/agclimate.py?${uristamp}`,\n format: new ol.format.GeoJSON()\n })\n );\n invgj.setSource(new ol.source.Vector({\n url: `/geojson/agclimate.py?inversion=1&${uristamp}`,\n format: new ol.format.GeoJSON()\n })\n );\n }\n n0q.setSource(getN0QSource());\n updateTitle();\n}\n\n\nconst mystyle = new ol.style.Style({\n text: new ol.style.Text({\n font: '16px Calibri,sans-serif',\n fill: new ol.style.Fill({\n color: '#000',\n width: 3\n }),\n stroke: new ol.style.Stroke({\n color: '#ff0',\n width: 5\n })\n })\n});\nconst greenArrow = new ol.style.Style({\n image: new ol.style.Icon({\n crossOrigin: 'anonymous',\n scale: 0.04,\n src: '/images/green_arrow_up.svg',\n })\n});\nconst redArrow = new ol.style.Style({\n image: new ol.style.Icon({\n crossOrigin: 'anonymous',\n scale: 0.04,\n src: '/images/red_arrow_down.svg',\n })\n});\n\nfunction setupMap() {\n gj = new ol.layer.Vector({\n title: 'ISUSM Data',\n source: new ol.source.Vector({\n url: \"/geojson/agclimate.py\",\n format: new ol.format.GeoJSON()\n }),\n style(feature) {\n mystyle.getText().setText(feature.get(varname).toString());\n return [mystyle];\n }\n });\n invgj = new ol.layer.Vector({\n title: 'ISUSM Inversion Data',\n source: new ol.source.Vector({\n url: \"/geojson/agclimate.py?inversion=1\",\n format: new ol.format.GeoJSON()\n }),\n style(feature) {\n // Update the img src to the appropriate arrow\n const arrowEl = document.getElementById(`${feature.getId()}_arrow`);\n if (arrowEl) {\n arrowEl.src = feature.get(\"is_inversion\") ? \"/images/red_arrow_down.svg\" : \"/images/green_arrow_up.svg\";\n }\n const temp15El = document.getElementById(`${feature.getId()}_15`);\n if (temp15El) {temp15El.textContent = feature.get('tmpf_15');}\n const temp5El = document.getElementById(`${feature.getId()}_5`);\n if (temp5El) {temp5El.textContent = feature.get('tmpf_5');}\n const temp10El = document.getElementById(`${feature.getId()}_10`);\n if (temp10El) {temp10El.textContent = feature.get('tmpf_10');}\n return [feature.get(\"is_inversion\") ? redArrow : greenArrow];\n }\n });\n n0q = new ol.layer.Tile({\n title: 'NEXRAD Base Reflectivity',\n source: getN0QSource()\n });\n map = new ol.Map({\n target: 'map',\n layers: [new ol.layer.Tile({\n title: 'OpenStreetMap',\n visible: true,\n source: new ol.source.OSM()\n }), n0q, invgj, gj],\n view: new ol.View({\n projection: 'EPSG:3857',\n center: ol.proj.transform([-93.5, 42.1], 'EPSG:4326', 'EPSG:3857'),\n zoom: 7\n })\n });\n\n // Popup showing the position the user clicked\n const popup = new ol.Overlay({\n element: document.getElementById('popup')\n });\n map.addOverlay(popup);\n // Support clicking on the map to get more details on the station\n map.on('click', (evt) => {\n const element = popup.getElement();\n // Clear any existing content\n element.innerHTML = '';\n element.style.display = 'none';\n\n const pixel = map.getEventPixel(evt.originalEvent);\n const feature = map.forEachFeatureAtPixel(pixel, (feature2) => {\n return feature2;\n });\n if (feature) {\n popup.setPosition(evt.coordinate);\n let content = [\n `

    Site ID: ${feature.getId()}`,\n `Name: ${feature.get('name')}`,\n `Air Temp: ${feature.get('tmpf')}`,\n '

    '\n ].join('
    ');\n if (feature.get(\"tmpf_15\")) {\n content = [\n `

    Site ID: ${feature.getId()}`,\n `Name: ${feature.get('name')}`,\n `Inversion: ${feature.get(\"is_inversion\") ? \"Likely\" : \"Unlikely\"}`,\n `Air Temp @1.5ft: ${feature.get('tmpf_15')}`,\n `Air Temp @5ft: ${feature.get('tmpf_5')}`,\n `Air Temp @10ft: ${feature.get('tmpf_10')}`,\n '

    '\n ].join('
    ');\n }\n element.innerHTML = content;\n element.style.display = 'block';\n }\n });\n\n const layerSwitcher = new ol.control.LayerSwitcher();\n map.addControl(layerSwitcher);\n\n dtpicker = document.getElementById('datetimepicker');\n dtpicker.addEventListener('change', logic);\n\n // Set min and max dates for the datetime picker\n const minDate = new Date(2013, 1, 1, 0, 0);\n const maxDate = new Date();\n dtpicker.min = minDate.toISOString().slice(0, 16);\n dtpicker.max = maxDate.toISOString().slice(0, 16);\n\n try {\n // First check for hash parameters (legacy) and migrate to URL params\n const hashTokens = window.location.href.split('#');\n if (hashTokens.length === 2) {\n const hashParts = hashTokens[1].split(\"/\");\n varname = escapeHTML(hashParts[0]);\n document.getElementById('varpicker').value = varname;\n if (hashParts.length === 2) {\n currentdt = (new Date(Date.parse(escapeHTML(hashParts[1]))));\n timeChanged = true;\n }\n gj.setStyle(gj.getStyle());\n // Migrate to URL params and remove hash\n updateURL();\n return;\n }\n\n // Check for URL parameters\n const urlParams = new URLSearchParams(window.location.search);\n if (urlParams.has('var')) {\n varname = escapeHTML(urlParams.get('var'));\n document.getElementById('varpicker').value = varname;\n if (urlParams.has('dt')) {\n currentdt = new Date(Date.parse(escapeHTML(urlParams.get('dt'))));\n timeChanged = true;\n }\n gj.setStyle(gj.getStyle());\n }\n } catch {\n varname = 'tmpf';\n currentdt = new Date(document.getElementById(\"defaultdt\").dataset.dt);\n }\n\n setDate();\n updateMap();\n};\n\nfunction setDate() {\n if (currentdt && dtpicker) {\n // Convert to local datetime string for the input\n const year = currentdt.getFullYear();\n const month = String(currentdt.getMonth() + 1).padStart(2, '0');\n const day = String(currentdt.getDate()).padStart(2, '0');\n const hours = String(currentdt.getHours()).padStart(2, '0');\n const minutes = String(currentdt.getMinutes()).padStart(2, '0');\n\n dtpicker.value = `${year}-${month}-${day}T${hours}:${minutes}`;\n }\n}\n\nfunction setupUI() {\n const dtButtons = document.querySelectorAll(\".dt\");\n dtButtons.forEach(button => {\n button.addEventListener('click', (event) => {\n timeChanged = true;\n event.target.classList.remove('focus');\n const delta = parseInt(event.target.dataset.delta);\n // Defensive: ensure currentdt is a valid Date\n if (!(currentdt instanceof Date) || isNaN(currentdt.valueOf())) {\n currentdt = new Date();\n }\n currentdt = new Date(currentdt.valueOf() + delta);\n setDate();\n updateMap();\n });\n });\n\n const varpicker = document.getElementById('varpicker');\n varpicker.addEventListener('change', () => {\n varname = escapeHTML(varpicker.value);\n gj.setStyle(gj.getStyle());\n updateTitle(); // Update the title when variable changes\n });\n};\n\ndocument.addEventListener('DOMContentLoaded', () => {\n currentdt = new Date(document.getElementById(\"defaultdt\").dataset.dt);\n setupMap();\n setupUI();\n});\n" }, { "path": "htdocs/agclimate/index.phtml", "content": "title = \"ISU Soil Moisture Network\";\n\n$t->jsextra = <<\n\n\nEOM;\n\n// Pick a sensible default datetime\n$dt = new DateTime();\n// Move back 3 minutes to allow data to arrive\n$dt->sub(new DateInterval(\"PT3M\"));\n// Set back to nearest minute modulo 5\n$dt->modify('-' . ($dt->format('i') % 5) . ' minutes');\n\n$dt = $dt->format(\"Y/m/d H:i\");\n$t->headextra = <<\n\n\n\nEOM;\n\n$t->content = <<\n

    ISU Soil Moisture Network

    \n\n\n\n

    \nIowa State University maintains a network of observation stations located primarily\nat the Research and Demonstration Farms, but\nalso at cooperating locations. Data from this network dates back to 1986! The stations\ncomprising the network has changed over the years with a complete network replacement started\nduring 2012.\n

    \n\n
    \n
    \n
    \n
    \n
    \n
    \n

    \n Popular Tools\n

    \n
    \n
    \n
    \n
    \n \n
    \n
    \n \n
    \n
    \n
    \n
    County Soil Temp Map
    \n Visual soil temperature mapping\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Daily Download
    \n Historical daily data export\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Growing Season Maps
    \n Seasonal agricultural mapping\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Minute/Hourly Download
    \n High-resolution time series data\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Current IOOS CSV
    \n Real-time CSV data feed\n
    \n
    \n Live\n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Listing of Stations
    \n Complete station directory\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Plot Time Series
    \n Interactive data visualization\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Sensor Package
    \n Technical specifications\n
    \n
    \n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Sortable Currents
    \n Real-time data table\n
    \n
    \n Live\n \n
    \n     \n \n
    \n
    \n \n
    \n
    \n
    \n
    Station Metadata
    \n Location and station details\n
    \n
    \n \n
    \n     \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n

    \n Data Controls\n

    \n
    \n
    \n
    \n
    \n
    \n
    \n Select Time\n
    \n
    \n \n
    \n
    \n \n \n \n \n \n \n
    \n
    \n
    \n\n
    \n
    \n
    \n Select Variable\n
    \n \n
    \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n \n
    \n
    \n
    \n
    Current Map Display
    \n
    The map is displaying Air Temperature [F] valid at {$dt}
    \n
    \n
    \n \n Live Data\n \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n
    \n Air Temperature Inversion Station Locations\n
    \n
    \n
    \n
    \n
    \n
    \n
    \n \n Northwest (Sutherland)\n
    \n
    \n
    1.5ft: M°F
    \n
    5ft: M°F
    \n
    10ft: M°F
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n \n Central (Ames)\n
    \n
    \n
    1.5ft: M°F
    \n
    5ft: M°F
    \n
    10ft: M°F
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n \n Southeast (Crawfordsville)\n
    \n
    \n
    1.5ft: M°F
    \n
    5ft: M°F
    \n
    10ft: M°F
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    \n
    \n Important Information\n
    \n
    \n
    \n
    \n
    \n
    \n \n
    \n
    \n
    Rainfall Disclaimer
    \n

    The Soil Moisture Network uses a non-heated tipping bucket rain gauge and is unable to measure snowfall. If you are interested in higher quality precipitation data, check out the NWS COOP network of human observations.

    \n
    \n
    \n
    \n\n
    \n
    \n Additional Tools/Apps\n
    \n
    \n \n 4 inch Soil Temperature Probabilities\n \n \n Daily Data Plotter\n \n
    \n
    \n\n \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    \n Data Visualization\n
    \n
    \n
    \n
    \n
    \n
    \n Temperature Plots\n
    \n
    \n \n Max/Min Air Temps\n \n \n Standard Chill Units since 1 Sept\n \n
    \n
    \n\n
    \n
    \n Soil Plots\n
    \n
    \n \n Avg 4in Soil Temps\n \n \n Max/Min 4in Soil Temps\n \n
    \n
    \n\n
    \n
    \n Moisture Plots\n
    \n
    \n \n Monthly evapotranspiration\n \n \n Monthly rainfall\n \n \n Potential E-T\n \n
    \n
    \n\n
    \n
    \n Solar/Wind\n
    \n
    \n \n Solar Radiation Values\n \n \n Peak Wind Gust (5 sec)\n \n \n Average Wind Speed\n \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n \n\n\nEOM;\n\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/info.phtml", "content": "title = \"ISUSM - Network Metadata\";\n\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Network Metadata
      3. \n
    \n\n\n

    ISU Soil Moisture Network Metadata

    \n\n
    These stations were installed in 2013-2014 and include soil moisture sensors.
    \n\n

    Campbell Scientific Sensor Package

    \n\n\n\n

    Legacy ISU Ag Climate Network

    \n\n
    These stations were removed in spring 2014.
    \n\n
    \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n
    Station Id conversion table
    StationIdStation NameData Starts AtData Ends At
    a130209AmesJul 01, 1986Apr 23, 2014
    a131069CalmarSep 21, 2001 Jan 8, 2014
    a131299CastanaMay 19, 1988Jan 8, 2014
    a131329Cedar Rapids Jun 22, 1998Apr 23, 2014
    a131559CharitonAug 17, 1988Jan 8, 2014
    a131909CrawfordsvilleJan 01, 1990Apr 23, 2014
    a130219GilbertAug 28, 1986Jan 8, 2014
    a135879NashuaSep 01, 1988Apr 16, 2014
    a138019SutherlanJul 23, 1988Aug 7, 2013
    a134759LewisJun 19, 1997Apr 16, 2014
    a136949RhodesMay 17, 1999Oct 11,2006
    a134309KanawhaJun 19, 1997Apr 23, 2014
    a135849MuscatineMar 27, 2000Apr 16, 2014
    \n
    \n\n

    You can get lat/lon information from this page.

    \n\n
    \n
    \n

    Units for Data

    \n
    \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    MeasurementUnits
    Evapotranspirationinches
    Precipationinches
    Hourly Solar RadiationKilo calories per meter squared per hour
    Daily Solar RadiationLangleys
    TemperaturesFahrenhit
    Wind speedsMPH
    Timelocal time, either CST or CDT
    \n
    \n\n

    Hardware Specs

    \n\n

    Soil Temperature: The soil probe is 4 inches deep underneath a one square meter bare patch of soil.

    \n\n

    Temperature: All of our stations have either the Campbell HMP35 or HMP45. The 35 was discontinued and replaced with the 45. They are mounted within a radiation grill at 2 meters height.

    \n\n

    Solar Radiation: LI-COR pyranometer, model LI200X.

    \n\n
    \n
    \n \"Campbell\n
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/smts.php", "content": "title = \"ISU Soil Moisture Plots\";\n\n$now = time();\n$d2 = time() - 5 * 86400;\n$station = get_str404(\"station\", \"BOOI4\");\n$opt = get_str404(\"opt\", \"1\");\n\nif (array_key_exists(\"sts\", $_GET)) {\n $sts = new DateTime(get_str404(\"sts\", null));\n $ets = new DateTime(get_str404(\"ets\", null));\n} else {\n // Legacy CGI parameters\n $year1 = get_int404('year1', date(\"Y\", $d2));\n $month1 = get_int404('month1', date(\"m\", $d2));\n $day1 = get_int404('day1', date(\"d\", $d2));\n $hour1 = get_int404('hour1', 0);\n\n $year2 = get_int404('year2', date(\"Y\", $now));\n $month2 = get_int404('month2', date(\"m\", $now));\n $day2 = get_int404('day2', date(\"d\", $now));\n $hour2 = get_int404('hour2', 23);\n $sts = new DateTime();\n $sts->setDate($year1, $month1, $day1);\n $sts->setTime($hour1, 0);\n $ets = new DateTime();\n $ets->setDate($year2, $month2, $day2);\n $ets->setTime($hour2, 0);\n}\n\n$errmsg = \"\";\nif ($ets <= $sts) {\n $errmsg = \"
    Error, your requested\" .\n \" End Time is before the Start Time. Please adjust your selection\" .\n \" and try once again.
    \";\n}\n\n$sselect = networkSelect(\"ISUSM\", $station, array(), \"station\", FALSE, 'form-select w-100');\n$y1 = yearSelect(2012, $sts->format(\"Y\"), \"year1\");\n$m1 = monthSelect($sts->format(\"m\"), \"month1\");\n$d1 = daySelect($sts->format(\"d\"), \"day1\");\n$h1 = hourSelect($sts->format(\"H\"), \"hour1\");\n$y2 = yearSelect(2012, $ets->format(\"Y\"), \"year2\");\n$m2 = monthSelect($ets->format(\"m\"), \"month2\");\n$d2 = daySelect($ets->format(\"d\"), \"day2\");\n$h2 = hourSelect($ets->format(\"H\"), \"hour2\");\n\n// Retreive the autoplot description JSON\n$content = file_get_contents($INTERNAL_BASEURL . \"/plotting/auto/meta/177.json\");\n$meta = json_decode($content, $assoc=TRUE);\n$dd = \"This plot is a time series graph of\nobservations from a time period and ISU Soil Moisture station of your choice.\";\n$desc = array();\nforeach ($meta[\"arguments\"] as $arg) {\n if ($arg[\"name\"] == \"opt\") {\n $ar = $arg[\"options\"];\n $keys = array_keys($ar);\n foreach ($keys as $key) {\n $desc[$key] = $dd;\n }\n break;\n }\n}\n\n$desc[\"m\"] = <<\",\n $station,\n $opt,\n $sts->format(\"Y-m-d Hi\"), // lame format, but alas\n $ets->format(\"Y-m-d Hi\")\n);\nif ($errmsg != \"\") {\n $img = $errmsg;\n}\n\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Soil Moisture Plots
      3. \n
    \n \n\n

    Soil Moisture and Precipitation Timeseries

    \n

    Plot Selection

    \n

    This application plots a timeseries of soil moisture and precipitation from\n an ISU Soil Moisture station of your choice. Please select a start and end time\n and click the 'Make Plot' button below.

    \n\n
    \n
    \n
    \n \n {$sselect}\n
    \n
    \n \n {$oselect}\n
    \n
    \n \n format('Y-m-d\\TH:i')}\" />\n
    \n
    \n \n format('Y-m-d\\TH:i')}\" />\n
    \n
    \n \n
    \n
    \n
    \n\n
    \n {$img}\n
    \n\n
    \n

    Plot Description

    \n

    {$thedescription}

    \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/soilt-prob.php", "content": " 6 and c30_f != 'e' GROUP by yr\");\n\n$thresholds = explode(\",\", $tstr);\n$tblrows = array();\n\n$row1 = 'Date';\nforeach ($thresholds as $k => $thres) {\n if (!is_numeric($thres)){\n // Bad user!\n xssafe(\"\");\n }\n $row1 .= sprintf('%s', $thres);\n $rs = pg_execute($conn, $stname1, array($station, $thres));\n $cnts = array();\n $yrs = pg_num_rows($rs);\n while ($row = pg_fetch_assoc($rs)) {\n if (!array_key_exists($row[\"v\"], $cnts)) {\n $cnts[$row[\"v\"]] = 0;\n }\n $cnts[$row[\"v\"]] += 1;\n }\n $probs = array();\n $running = $yrs;\n for ($i = 0; $i < 182; $i++) {\n if (array_key_exists($i, $cnts)) {\n $running -= $cnts[$i];\n }\n $probs[$i] = $running;\n }\n /* Day Sampler */\n for ($i = 0; $i < 182; $i = $i + 5) {\n $ts = mktime(0, 0, 0, 1, 1, 2000) + ($i * 86400);\n $val = array_key_exists($i, $probs) ? $probs[$i] : 0;\n if (!array_key_exists($i, $tblrows)) {\n $tblrows[$i] = \"\";\n }\n if ($yrs == 0) {\n $tblrows[$i] .= \"0\";\n } else {\n $tblrows[$i] .= sprintf(\"%.0f\", $val / $yrs * 100);\n }\n }\n}\n$spring = ''\n . ''\n . $row1\n . '';\n/* Print webpage */\nfor ($i = 0; $i < 182; $i = $i + 5) {\n $ts = mktime(0, 0, 0, 1, 1, 2000) + ($i * 86400);\n $spring .= sprintf(\n '%s',\n date(\"M d\", $ts),\n $tblrows[$i]\n );\n}\n$spring .= '
    %s
    ';\n\n/* ________________________FALL ______________ */\n$tblrows = array();\nforeach ($thresholds as $k => $thres) {\n $rs = pg_execute($conn, $stname2, array($station, $thres));\n $cnts = array();\n $yrs = pg_num_rows($rs);\n for ($i = 0; $row = pg_fetch_assoc($rs); $i++) {\n if (!array_key_exists($row[\"v\"], $cnts)) {\n $cnts[$row[\"v\"]] = 0;\n }\n $cnts[$row[\"v\"]] += 1;\n }\n $probs = array();\n $running = 0;\n for ($i = 182; $i < 366; $i++) {\n if (array_key_exists($i, $cnts)) {\n $running += $cnts[$i];\n }\n $probs[$i] = $running;\n }\n /* Day Sampler */\n for ($i = 182; $i < 366; $i = $i + 5) {\n $ts = mktime(0, 0, 0, 1, 1, 2000) + ($i * 86400);\n $val = array_key_exists($i, $probs) ? $probs[$i] : 0;\n if (!array_key_exists($i, $tblrows)) {\n $tblrows[$i] = \"\";\n }\n if ($yrs == 0) {\n $tblrows[$i] .= \"0\";\n } else {\n $tblrows[$i] .= sprintf(\"%.0f\", $val / $yrs * 100);\n }\n }\n}\n$fall = ''\n . ''\n . $row1\n . '';\n/* Print webpage */\nfor ($i = 182; $i < 366; $i = $i + 5) {\n $ts = mktime(0, 0, 0, 1, 1, 2000) + ($i * 86400);\n $fall .= sprintf(\n '%s',\n date(\"M d\", $ts),\n $tblrows[$i]\n );\n}\n$fall .= '
    %s
    ';\n\n$sselect = networkSelect(\"ISUAG\", $station);\n\n$t->title = \"ISUSM - Soil Temperature Probabilities\";\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. Soil Temperature Probabilities
      3. \n
    \n\n\n
    \n

    4 inch Soil Temperature Probabilities

    \n\n

    This application computes soil temperature exceedance based on the\n observation record of an ISU Ag Climate site. The average daily 4 inch\n soil temperature is used in this calculation.

    \n\n
      \n
    • Spring: The values represent the percentage of years that a temperature\n below the given threshold was observed after a given date.
      • \n
    • Fall: The values represent the percentage of years that a temperature\n below the given threshold was observed before a given date.
      • \n
    \n
    \n\n
    This application uses the legacy ISU Ag Climate\nnetwork for its computations. Data from the newer ISU Soil Moisture Network\nis not considered.
    \n\n
    \n
    \n
    \n
    \n \n {$sselect}\n
    \n
    \n \n \n
    Comma separated thresholds.
    \n
    \n
    \n \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    \n

    Spring Probabilities

    \n
    Given date to July 1
    \n
    \n
    \n
    \n {$spring}\n
    \n
    \n
    \n
    \n
    \n
    \n
    \n

    Fall Probabilities

    \n
    July 1 to given date
    \n
    \n
    \n
    \n {$fall}\n
    \n
    \n
    \n
    \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/agclimate/soilt.css", "content": "/* Style the Image Used to Trigger the Modal */\n#myImg {\n border-radius: 5px;\n cursor: pointer;\n transition: 0.3s;\n}\n\n#myImg:hover {\n opacity: 0.7;\n}\n\n/* The Modal (background) */\n.modal {\n display: none;\n /* Hidden by default */\n position: fixed;\n /* Stay in place */\n z-index: 10000;\n /* Sit on top */\n padding-top: 100px;\n /* Location of the box */\n left: 0;\n top: 0;\n width: 100%;\n /* Full width */\n height: 100%;\n /* Full height */\n overflow: auto;\n /* Enable scroll if needed */\n background-color: rgb(0, 0, 0);\n /* Fallback color */\n background-color: rgba(0, 0, 0, 0.9);\n /* Black w/ opacity */\n}\n\n/* Modal Content (Image) */\n.modal-content {\n margin: auto;\n display: block;\n width: 80%;\n max-width: 900px;\n}\n\n/* Add Animation - Zoom in the Modal */\n.modal-content {\n animation-name: zoom;\n animation-duration: 0.6s;\n}\n\n@keyframes zoom {\n from {\n transform: scale(0)\n }\n\n to {\n transform: scale(1)\n }\n}\n\n/* The Close Button */\n.close {\n position: absolute;\n top: 15px;\n right: 35px;\n color: #f1f1f1;\n font-size: 40px;\n font-weight: bold;\n transition: 0.3s;\n}\n\n.close:hover,\n.close:focus {\n color: #bbb;\n text-decoration: none;\n cursor: pointer;\n}\n\n/* 100% Image Width on Smaller Screens */\n@media only screen and (max-width: 700px) {\n .modal-content {\n width: 100%;\n }\n}" }, { "path": "htdocs/agclimate/soilt.module.js", "content": "\nimport { requireElement } from \"/js/iemjs/domUtils.js\";\n\nfunction initializeModal() {\n // Get the modal elements\n const modal = requireElement(\"myModal\");\n const modalImg = requireElement(\"img01\");\n const span = document.getElementsByClassName(\"close\")[0];\n\n if (!span) {\n return;\n }\n\n // Add click handlers to all clickable images\n const clickableImages = document.querySelectorAll(\"div.clickme img\");\n clickableImages.forEach(img => {\n img.addEventListener(\"click\", (evt) => {\n modal.style.display = \"block\";\n modalImg.src = evt.target.src;\n });\n });\n\n // Close modal when clicking the close button\n span.addEventListener(\"click\", () => {\n modal.style.display = \"none\";\n });\n\n // Close modal when clicking outside the image\n modal.addEventListener(\"click\", (evt) => {\n if (evt.target === modal) {\n modal.style.display = \"none\";\n }\n });\n}\n\n/**\n * Initialize the soil temperature page functionality\n */\nfunction init() {\n initializeModal();\n}\n\n// Initialize when DOM is loaded\nif (document.readyState === \"loading\") {\n document.addEventListener(\"DOMContentLoaded\", init);\n} else {\n init();\n}\n" }, { "path": "htdocs/agclimate/soilt.php", "content": "title = \"ISU Soil Moisture County Temperature Estimates\";\n$t->headextra = <<\nEOM;\n$t->jsextra = <<\nEOM;\n// This plot is confusing during the morning hours before the latest GFS updates\n$d0 = <<\nEOM;\n// So, if we are before 9 AM local, don't show the $d0 plot\n$now = new DateTimeImmutable(\"now\", new DateTimeZone(\"America/Chicago\"));\nif ($now->format(\"H\") < 9) {\n $d0 = \"\";\n}\n$t->content = <<\n
      \n
    1. ISU Soil Moisture Network
      2. \n
    2. County 4 inch Soil Temperature Maps
      3. \n
    \n\n\n

    County 4 inch Soil Temperature Maps

    \n

    About These Maps

    \n

    This page presents daily soil temperature analysis maps. The left column combines ISU Soil Moisture Network observations and bias-corrected NWS NAM forecast model analyses for higher resolution. The right column shows simple GFS forecast model outputs without bias correction.

    \n\n
    \n Links:\n Archive of This Map\n Observation Download\n Real-time Map\n
    \n\n\n
    \n ×\n \"Soil\n
    \n
    \n\n
    \n
    \n

    Past Three Day Observations

    \n \"Soil\n \"Soil\n \"Soil\n
    \n
    \n

    GFS Forecast

    \n {$d0}\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n \"GFS\n
    \n
    \n\nEOM;\n$t->render('full.phtml');\n" }, { "path": "htdocs/agweather/index.php", "content": "title = \"Agricultural Weather/Climate Information\";\n\n$y = date(\"Y\");\n$t->content = <<\n
  • IEM Homepage
    • \n
  • IEM Ag Weather/Climate Information
    • \n\n\n

    The IEM website contains data from many different observation networks. While \nyou may know what you are looking for, figuring out which network has this data \nis tricky. This table is an attempt to help you locate the data / product you\nneed. Please do contact us with your \nquestions!

    \n\n

    IEM's most popular applications:\nAutomated Data Plotting\nClimodat\nIEM Explorer\nSingle Site Graphs\nUSDA NASS Products\n

    \n\n\n\n\n\n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n\n\n\n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    VariableTimescale / Reporting Interval
    Seconds/MinutesHourlyDailyWeekly/MonthlySeasonalYearly
    Air Temperature\nISU Soil Moisture stations record real-time data\nat one minute intervals. ASOS also provides data at\nsuch frequency, but it is delayed by ~24 hours.\nASOS/AWOS are stations located at airports and are\nthe baseline weather observation network. The \nISU Soil Moisture network has data for Iowa.\nNWS COOP has high quality high and low temperature\nreports for 24 hour periods, not always for the calendar day.\n\nThe Climodat reports contain summarized\ndata from the NWS COOP network.\n\n
    Plot of Daily Departures by Year\n\n

    Pest Maps and Forecasts track degree days\nfor various pests of interest.

    \n
    Growing Degree DaysNot applicableThe NWS COOP network data contains the best quality \ninformation for daily temperatures, but they are not always on a calendar date.\n\nThe Climodat reports present summarized GDD data.\n\n\n

    Maps of Growing Degree Days:\n

    \n\n

    Pest Maps and Forecasts track degree days\nfor various pests of interest.

    \n\n
    Precipitation (liquid + melted snow)The IEM processes the one minute Iowa ASOS\n data, but there is a month delay for receipt of this data.The ASOS (not AWOS) sites include a heated sensor that\n melts snowfall to produce liquid equivalent.The NWS COOP network report precipitation totals that\n include melted snowfall.\n \n \n
    The IEM processes gridded analyses of precipitation\n \n \n
    There are daily ASOS precip reports\n available for download.\n \n     		\n \n\n\n
    Rainfall (liquid only)The SchoolNet sensors do report minute rainfall, \n but the data is not of great quality.The ASOS/AWOS sites report hourly rainfall as well as\n the ISU Soil Moisture network.
    Solar RadiationThe ISU Soil Moisture network collects solar \nradiation at minute and hourly intervals.The ISU Soil Moisture network makes daily \nsummaries available. The IEM also provides estimated radiation data for download\nfor NWS COOP sites based on model analyses.\nThe model analyses (MERRAv2, HRRR, NARR, and ERA5Land) used to provide solar radiation\ndata for the NWS COOP sites and be summarized\nover time here:\n
      \n
    • Autoplot 107 has daily averages over a period\n of your choice.
      • \n
    \n
    Soil MoistureThe ISU Soil Moisture network collects five minute and hourly\nsoil moisture data.The Daily Erosion Project\nproduces soil moisture analyses based on a model called WEPP.Summarized data for this timescale does not exist on the IEM \nat this time.
    Soil TemperatureThe ISU Soil Moisture network collects five minute and hourly\nsoil temperature data.The ISU Soil Moisture network produces daily\nsummaries of high and low temperature.\n\nSummarized data for this timescale does not exist on the IEM \nat this time.
    SnowfallDoes not existThe NWS has paid snowfall observers that report 6 hour snowfall totals, but\n the IEM does not have a good interface to get this data.\n The IEM collects the 24 hour snowfall reports\n from the NWS COOP network.\n \n Summarized data for this timescale does not exist on the IEM \nat this time.
    Stress Degree DaysNot applicableThe NWS COOP network data contains the best quality \ninformation for daily temperatures, but they are not always on a calendar date.\nThe Climodat reports present\nsummarized SDD data.\n\n
    Wind\nISU Soil Moisture stations record real-time data\nat one minute intervals. ASOS also provides data at\nsuch frequency, but it is delayed by ~24 hours.\n\nASOS data is typically the best at this temporal scale.\n\n\n\n

    Windroses are\nneat visualizations of wind direction and speed frequency. The link takes you\nto the interface for the Ames Airport. You can switch stations to find the\nsame for other locations.

    \n
    \n\n\n

    USDA NASS Products

    \n\n

    The IEM attempts to sync much of the USDA NASS\ndata into our database. A number of automated plots\nare available for this data (search for NASS in the dropdown menu).

    \n\n

    The IEM also attempts to glean the Iowa Ag Reporting District data found in the\nweekly weekly crop progress\nPDF reports. You can download the IEM's entire database as this\nExcel file.

    \n\n

    Historical Freeze Risk

    \n\n
    An air temperature less than 27 is generally considered to be the Hard Freeze, \nthat is a crop killing event, although plant damage and yield loss is often observed at \nless extreme low temperatures. Crop threshold temperatures for plant damage in Fall differ\nfrom Spring thresholds (mainly because of plant size/height).
    \n\n\n\n

    External Links

    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/api/index.php", "content": "title = \"API Documentation\";\n\n$t->content = <<< EOM\n\n

    IEM Web Services and APIs

    \n\n
    \n

    Disclaimer: All of these services are provided as-is and\nwithout warranty. You are free to use these services for any lawful purpose\n(including commercial whereby your company makes lots of money using these)\nand please do not sue us if they do not work as you expect or if one of them\nbreaks during your critical time of need.

    \n
    \n\n

    The primary goal of this website is to make data freely available in an\nopen manner. This page presents details the IEM's various Web Services and\nApplication Programming Interfaces (API). These services are structured into\nfour categories.

    \n\n
    \n
    \n
    \n
    \n

    API v1

    \n Info IEM API v1 Docs\n

    Represents a more formal API using the FastAPI framework. This API generates JSON Table Schema responses and is more geared toward smallish requests that can be serviced within a second or two. The source code for these services is found within the iem-web-services repo.

    \n
    \n
    \n
    \n
    \n
    \n
    \n

    Ad-hoc Services

    \n Info (Geo)-JSON Services\n

    Represents a hodge-podge of services invented over the past many years that are not necessarily well thought out or structured. They individually have help pages that attempt to explain how to use them. The source code for these services is found with the main iem repo.

    \n
    \n
    \n
    \n
    \n
    \n
    \n

    Ad-hoc CGI Services

    \n Info Scriptable CGI Services\n

    Represents a collection of backends that often service various bulk data download portals. These services are heavily trafficked and typically emit simple CSV responses. None of these will do JSON, often due to various constraints. The source code for these services is found with the main iem repo.

    \n
    \n
    \n
    \n
    \n
    \n
    \n

    OGC Services

    \n Info OGC Services\n

    Represents a collection of Open Geospatial Consortium services. The source code for these services is found with the main iem repo.

    \n
    \n
    \n
    \n
    \n\n

    But first, perhaps there are better alternatives!

    \n\n
    \n

    The following is a list of other web service providers. They all do a better\njob than this website does. Some of these are commercial and this listing should\nnot be implied as an endorsement. Of course, you can just search google for\nWeather API :)

    \n\n\n
    \n\n

    \n\n(Geo)-JSON Services

    \n\n
    \n
    \n\n
    \n
    IEM Data / Metadata
    \n
    \n \n
    \n
    \n\n
    \n
    Aviation Services
    \n
    \n \n
    \n
    \n\n\n
    \n
    \n\n
    \n
    NWS Data
    \n
    \n \n
    \n
    \n\n\n
    \n
    \n\n
    \n
    NWS Watch, Warning, and Advisories
    \n
    \n \n
    \n
    \n\n
    \n
    Miscellaneous
    \n
    \n \n
    \n
    \n\n
    \n
    \n\n

    \n\nScriptable CGI Services

    \n\n

    Some of the IEM data services are not ammenable to being used within a API\nservice that aims for sub-second response times. These services also consume\na lot of resources and are not as scalable. As such, we have a few services\nrooted within /cgi-bin/ style 2000s era web services. There are primative\nhelp pages for these services:

    \n\n\n\n

    API Stability?

    \n\n

    In general, we do not try to break things but bugs happen. As always,\nplease email us with any concerns you have. We\nare extremely responsive to email :)\n\nEOM;\n\n$t->render('single.phtml');\n" }, { "path": "htdocs/api/proxy_error_handler.py", "content": "\"\"\"Implementation at /pylib/iemweb/proxy_error_handler.py\"\"\"\n\nfrom iemweb.proxy_error_handler import application\n\n__all__ = [\"application\"]\n" }, { "path": "htdocs/apps.module.js", "content": "\nwindow.addEventListener('DOMContentLoaded', () => {\n const filterInput = document.getElementById('appFilter');\n const table = document.getElementById('table1');\n if (!filterInput || !table) {return;}\n filterInput.addEventListener('input', (event) => {\n const filter = event.target.value.trim().toLowerCase();\n const rows = table.querySelectorAll('tbody tr');\n rows.forEach(row => {\n const text = row.textContent.toLowerCase();\n row.style.display = filter === '' || text.includes(filter) ? '' : 'none';\n });\n });\n});\n" }, { "path": "htdocs/apps.php", "content": "title = \"Application Listing\";\n$t->jsextra = <<\nEOM;\n\n$table = \"\";\n$tags = Array();\n$rs = pg_query(\n $dbconn,\n \"SELECT appid, string_agg(tag, ',') as t from iemapps_tags \".\n \"GROUP by appid\"\n);\nfor ($i=0;$row=pg_fetch_assoc($rs);$i++){\n $tags[$row[\"appid\"]] = $row[\"t\"];\n}\n$rs = pg_query($dbconn, \"SELECT * from iemapps ORDER by appid ASC\");\nwhile ($row=pg_fetch_assoc($rs)){\n $tt = \"\";\n if (array_key_exists($row[\"appid\"], $tags)){\n $tt = $tags[$row[\"appid\"]];\n }\n $table .= sprintf(\n \"%s%s%s\\n\",\n $row[\"url\"], $row[\"name\"], $row[\"description\"], $tt);\n}\n\n$t->content = <<IEM Application Listing\n

    This website contains a large number of 'applications' which allow for\n dynamic query and product generation. This page displays a listing of these\n apps along with a brief description. The tags shown are used to organize the\n apps.

    \n\n
    \n \n
    \n\n \n \n \n \n \n{$table}\n \n
    TitleDescriptionTags
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/archive/codsat/index.css", "content": "/* MTArchive + COD Satellite Browser Styles */\n\n#imageContainer {\n min-height: 400px;\n display: flex;\n flex-direction: column;\n justify-content: center;\n align-items: center;\n}\n\n#imageWrapper {\n width: 100%;\n}\n\n#satelliteImage {\n width: 100%;\n height: auto;\n border-radius: 4px;\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n}\n\n#noImageMessage {\n padding: 3rem 1rem;\n}\n\n.card {\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n}\n\n.card-header {\n background-color: #f8f9fa;\n border-bottom: 1px solid #dee2e6;\n}\n\n#animationCard {\n margin-top: 1rem;\n}\n\n/* Animation controls styling */\n.btn-group button {\n min-width: 80px;\n}\n\n/* Timeline styling */\n.timeline-container {\n margin-top: 0.5rem;\n padding: 0.5rem 0;\n background-color: #f8f9fa;\n border-radius: 4px;\n overflow-x: auto;\n}\n\n#timeline {\n display: block;\n min-width: 100%;\n}\n\n.timeline-line {\n stroke: #dee2e6;\n stroke-width: 2;\n}\n\n.timeline-dot {\n cursor: pointer;\n transition: all 0.2s ease;\n}\n\n.timeline-dot:hover {\n r: 6;\n stroke-width: 3;\n}\n\n.timeline-dot.active {\n stroke-width: 3;\n}\n\n.timeline-label {\n font-size: 10px;\n fill: #6c757d;\n pointer-events: none;\n}\n\n/* Loading spinner alignment */\n#loadingRow .spinner-border {\n vertical-align: middle;\n}\n\n/* Form select disabled state */\nselect:disabled {\n cursor: not-allowed;\n}\n\n/* Progress bar styling */\n.progress {\n background-color: #e9ecef;\n}\n\n.progress-bar {\n transition: width 0.1s ease;\n background-color: #0d6efd;\n}\n\n/* Responsive adjustments */\n@media (max-width: 991px) {\n #imageContainer {\n min-height: 300px;\n }\n\n .card {\n margin-bottom: 1rem;\n }\n}\n\n/* Alert styling for image count */\n.alert-success {\n border-left: 4px solid #198754;\n}\n\n/* Icon sizing in buttons */\n.btn i {\n margin-right: 0.25rem;\n}\n" }, { "path": "htdocs/archive/codsat/index.module.js", "content": "/**\n * MTArchive + COD Satellite Browser\n *\n * Provides cascading selection UI and animation controls for GOES satellite imagery\n * from the Iowa State MTArchive powered by College of DuPage NEXLAB\n */\n\nconst BASE_URL = \"https://mtarchive.geol.iastate.edu\";\n\n// State management\nconst state = {\n date: null,\n satellite: null,\n sectorType: null,\n sector: null,\n plotType: null,\n images: [],\n currentIndex: 0,\n currentTimestamp: null,\n isPlaying: false,\n animationInterval: null,\n speed: 500,\n skipFrames: 1,\n loop: true\n};\n\n// DOM elements\nconst elements = {\n dateSelect: null,\n datePrevBtn: null,\n dateNextBtn: null,\n satelliteSelect: null,\n sectorTypeSelect: null,\n sectorSelect: null,\n plotTypeSelect: null,\n satelliteImage: null,\n playBtn: null,\n stopBtn: null,\n speedSlider: null,\n speedValue: null,\n skipSlider: null,\n skipValue: null,\n loopCheck: null,\n currentFrame: null,\n totalFrames: null,\n currentTime: null,\n timeline: null,\n imageWrapper: null,\n noImageMessage: null,\n animationCard: null,\n imageCount: null,\n loadingRow: null,\n imagesLoadedRow: null,\n shareBtn: null,\n statusIndicator: null,\n statusMessage: null\n};\n\n/**\n * Initialize the application\n */\nasync function init() {\n // Cache DOM elements\n elements.dateSelect = document.getElementById(\"dateSelect\");\n elements.datePrevBtn = document.getElementById(\"datePrevBtn\");\n elements.dateNextBtn = document.getElementById(\"dateNextBtn\");\n elements.satelliteSelect = document.getElementById(\"satelliteSelect\");\n elements.sectorTypeSelect = document.getElementById(\"sectorTypeSelect\");\n elements.sectorSelect = document.getElementById(\"sectorSelect\");\n elements.plotTypeSelect = document.getElementById(\"plotTypeSelect\");\n elements.satelliteImage = document.getElementById(\"satelliteImage\");\n elements.playBtn = document.getElementById(\"playBtn\");\n elements.stopBtn = document.getElementById(\"stopBtn\");\n elements.speedSlider = document.getElementById(\"speedSlider\");\n elements.speedValue = document.getElementById(\"speedValue\");\n elements.skipSlider = document.getElementById(\"skipSlider\");\n elements.skipValue = document.getElementById(\"skipValue\");\n elements.loopCheck = document.getElementById(\"loopCheck\");\n elements.currentFrame = document.getElementById(\"currentFrame\");\n elements.totalFrames = document.getElementById(\"totalFrames\");\n elements.currentTime = document.getElementById(\"currentTime\");\n elements.timeline = document.getElementById(\"timeline\");\n elements.imageWrapper = document.getElementById(\"imageWrapper\");\n elements.noImageMessage = document.getElementById(\"noImageMessage\");\n elements.animationCard = document.getElementById(\"animationCard\");\n elements.imageCount = document.getElementById(\"imageCount\");\n elements.loadingRow = document.getElementById(\"loadingRow\");\n elements.imagesLoadedRow = document.getElementById(\"imagesLoadedRow\");\n elements.shareBtn = document.getElementById(\"shareBtn\");\n elements.statusIndicator = document.getElementById(\"statusIndicator\");\n elements.statusMessage = document.getElementById(\"statusMessage\");\n\n // Set default date to yesterday (satellite data has delay)\n const today = new Date();\n const yesterday = new Date(today);\n yesterday.setDate(today.getDate() - 1);\n const yesterdayStr = yesterday.toISOString().split('T')[0];\n const todayStr = today.toISOString().split('T')[0];\n\n elements.dateSelect.value = yesterdayStr;\n elements.dateSelect.max = todayStr;\n updateDateNavButtons();\n\n // Attach event listeners\n attachEventListeners();\n\n // Load state from URL parameters if present, otherwise trigger initial load\n const hasURLParams = await loadStateFromURL();\n\n // If no URL parameters, trigger initial date change to load data\n if (!hasURLParams) {\n state.date = yesterdayStr;\n await handleDateChange();\n }\n}\n\n/**\n * Load state from URL parameters\n * @returns {Promise} True if URL parameters were loaded\n */\nasync function loadStateFromURL() {\n const params = new URLSearchParams(window.location.search);\n\n const urlState = {\n date: params.get('date'),\n satellite: params.get('satellite'),\n sectorType: params.get('sectorType'),\n sector: params.get('sector'),\n plotType: params.get('plotType'),\n speed: params.get('speed'),\n skipFrames: params.get('skip'),\n loop: params.get('loop'),\n timestamp: params.get('timestamp')\n };\n\n // Apply speed and loop settings if present\n if (urlState.speed) {\n state.speed = parseInt(urlState.speed);\n elements.speedSlider.value = urlState.speed;\n elements.speedValue.textContent = urlState.speed;\n }\n\n if (urlState.skipFrames) {\n state.skipFrames = parseInt(urlState.skipFrames);\n elements.skipSlider.value = urlState.skipFrames;\n elements.skipValue.textContent = urlState.skipFrames;\n }\n\n if (urlState.loop !== null) {\n state.loop = urlState.loop === 'true';\n elements.loopCheck.checked = state.loop;\n }\n\n // Store timestamp for later use\n if (urlState.timestamp) {\n state.currentTimestamp = urlState.timestamp;\n }\n\n // If no date parameter, we're done\n if (!urlState.date) {return false;}\n\n // Set date and trigger cascade\n elements.dateSelect.value = urlState.date;\n state.date = urlState.date;\n updateDateNavButtons();\n\n try {\n await loadCascadingSelections(urlState);\n } catch {\n // Silently fail - user can manually select options\n }\n\n return true;\n}\n\n/**\n * Load cascading selections from URL state\n */\nasync function loadCascadingSelections(urlState) {\n // Load satellites\n showRow(\"satelliteRow\");\n const satellites = await fetchAvailableSatellites(urlState.date);\n populateSelect(elements.satelliteSelect, satellites, \"Select satellite...\");\n elements.satelliteSelect.disabled = false;\n\n if (!urlState.satellite || !satellites.includes(urlState.satellite)) {return;}\n\n elements.satelliteSelect.value = urlState.satellite;\n state.satellite = urlState.satellite;\n\n // Continue loading sector types and beyond\n await loadSectorTypesAndBeyond(urlState);\n}\n\n/**\n * Load sector types and subsequent selections\n */\nasync function loadSectorTypesAndBeyond(urlState) {\n hideFromRow(\"sectorTypeRow\");\n showRow(\"sectorTypeRow\");\n const sectorTypes = await fetchAvailableSectorTypes(urlState.date, urlState.satellite);\n populateSelect(elements.sectorTypeSelect, sectorTypes, \"Select sector type...\");\n elements.sectorTypeSelect.disabled = false;\n\n if (!urlState.sectorType || !sectorTypes.includes(urlState.sectorType)) {return;}\n\n elements.sectorTypeSelect.value = urlState.sectorType;\n state.sectorType = urlState.sectorType;\n\n // Continue loading sectors and beyond\n await loadSectorsAndBeyond(urlState);\n}\n\n/**\n * Load sectors and subsequent selections\n */\nasync function loadSectorsAndBeyond(urlState) {\n hideFromRow(\"sectorRow\");\n showRow(\"sectorRow\");\n const sectors = await fetchAvailableSectors(urlState.date, urlState.satellite, urlState.sectorType);\n populateSelect(elements.sectorSelect, sectors, \"Select sector...\");\n elements.sectorSelect.disabled = false;\n\n if (!urlState.sector || !sectors.includes(urlState.sector)) {return;}\n\n elements.sectorSelect.value = urlState.sector;\n state.sector = urlState.sector;\n\n // Continue loading plot types and images\n await loadPlotTypesAndImages(urlState);\n}\n\n/**\n * Load plot types and images\n */\nasync function loadPlotTypesAndImages(urlState) {\n hideFromRow(\"plotTypeRow\");\n showRow(\"plotTypeRow\");\n const plotTypes = await fetchAvailablePlotTypes(urlState.date, urlState.satellite, urlState.sectorType, urlState.sector);\n populateSelect(elements.plotTypeSelect, plotTypes, \"Select plot type...\");\n elements.plotTypeSelect.disabled = false;\n\n if (!urlState.plotType || !plotTypes.includes(urlState.plotType)) {return;}\n\n elements.plotTypeSelect.value = urlState.plotType;\n state.plotType = urlState.plotType;\n\n // Load images\n await loadImagesForSelection();\n}\n\n/**\n * Load images for current selection\n */\nasync function loadImagesForSelection() {\n elements.loadingRow.style.display = \"block\";\n const images = await fetchAvailableImages(\n state.date,\n state.satellite,\n state.sectorType,\n state.sector,\n state.plotType\n );\n state.images = images;\n elements.loadingRow.style.display = \"none\";\n\n if (images.length > 0) {\n elements.imagesLoadedRow.style.display = \"block\";\n elements.imageCount.textContent = images.length;\n elements.totalFrames.textContent = images.length;\n elements.animationCard.style.display = \"block\";\n\n // Check if we have a timestamp from URL to load specific frame\n let initialIndex = 0;\n if (state.currentTimestamp) {\n const timestampIndex = images.findIndex(img => img.timestamp === state.currentTimestamp);\n if (timestampIndex !== -1) {\n initialIndex = timestampIndex;\n }\n }\n\n // Set current index before rendering timeline\n state.currentIndex = initialIndex;\n\n // Show wrapper first so timeline can measure correctly\n elements.imageWrapper.style.display = \"block\";\n elements.noImageMessage.style.display = \"none\";\n\n // Use requestAnimationFrame to ensure layout is updated before measuring\n requestAnimationFrame(() => {\n // Render the timeline with correct index and width\n renderTimeline();\n\n // Load the image\n loadImage(initialIndex);\n });\n }\n}\n\n/**\n * Update URL with current state\n */\nfunction updateURL() {\n const params = new URLSearchParams();\n\n // Add parameters that exist\n const paramMap = {\n date: state.date,\n satellite: state.satellite,\n sectorType: state.sectorType,\n sector: state.sector,\n plotType: state.plotType\n };\n\n Object.entries(paramMap).forEach(([key, value]) => {\n if (value) {params.set(key, value);}\n });\n\n // Add current timestamp if available\n if (state.currentTimestamp) {\n params.set('timestamp', state.currentTimestamp);\n }\n\n // Add non-default settings\n if (state.speed !== 500) {params.set('speed', state.speed);}\n if (state.skipFrames !== 1) {params.set('skip', state.skipFrames);}\n if (!state.loop) {params.set('loop', 'false');}\n\n const queryString = params.toString();\n const newURL = queryString ? `${window.location.pathname}?${queryString}` : window.location.pathname;\n window.history.replaceState({}, '', newURL);\n}\n\n/**\n * Attach all event listeners\n */\nfunction attachEventListeners() {\n elements.dateSelect.addEventListener(\"change\", () => handleDateChange({ preserveSelections: true }));\n elements.datePrevBtn.addEventListener(\"click\", () => shiftDateByDays(-1));\n elements.dateNextBtn.addEventListener(\"click\", () => shiftDateByDays(1));\n elements.satelliteSelect.addEventListener(\"change\", handleSatelliteChange);\n elements.sectorTypeSelect.addEventListener(\"change\", handleSectorTypeChange);\n elements.sectorSelect.addEventListener(\"change\", handleSectorChange);\n elements.plotTypeSelect.addEventListener(\"change\", handlePlotTypeChange);\n\n elements.playBtn.addEventListener(\"click\", playAnimation);\n elements.stopBtn.addEventListener(\"click\", stopAnimation);\n\n elements.speedSlider.addEventListener(\"input\", (e) => {\n state.speed = parseInt(e.target.value);\n elements.speedValue.textContent = state.speed;\n updateURL();\n if (state.isPlaying) {\n stopAnimation();\n playAnimation();\n }\n });\n\n elements.skipSlider.addEventListener(\"input\", (e) => {\n state.skipFrames = parseInt(e.target.value);\n elements.skipValue.textContent = state.skipFrames;\n updateURL();\n });\n\n elements.loopCheck.addEventListener(\"change\", (e) => {\n state.loop = e.target.checked;\n updateURL();\n });\n\n elements.shareBtn.addEventListener(\"click\", copyShareLink);\n\n // Keyboard shortcuts\n document.addEventListener(\"keydown\", handleKeyboardInput);\n\n // Re-render timeline on window resize\n let resizeTimeout = null;\n window.addEventListener(\"resize\", () => {\n clearTimeout(resizeTimeout);\n resizeTimeout = setTimeout(() => {\n if (state.images.length > 0) {\n renderTimeline();\n }\n }, 250);\n });\n}\n\n/**\n * Handle date selection change\n */\nasync function handleDateChange(options = {}) {\n const { preserveSelections = true } = options;\n const date = elements.dateSelect.value;\n if (!date) {return;}\n\n // Validate date format is complete (YYYY-MM-DD)\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(date)) {\n return;\n }\n\n if (!isDateWithinBounds(date)) {\n return;\n }\n\n const previousSelections = {\n satellite: state.satellite,\n sectorType: state.sectorType,\n sector: state.sector,\n plotType: state.plotType\n };\n\n state.date = date;\n state.images = [];\n state.currentIndex = 0;\n\n resetUI();\n showRow(\"satelliteRow\");\n updateURL();\n updateDateNavButtons();\n\n if (preserveSelections) {\n const preserved = await restoreSelectionsForDate(date, previousSelections);\n if (preserved) {\n return;\n }\n }\n\n state.satellite = null;\n state.sectorType = null;\n state.sector = null;\n state.plotType = null;\n\n try {\n const satellites = await fetchAvailableSatellites(date);\n populateSelect(elements.satelliteSelect, satellites, \"Select satellite...\");\n elements.satelliteSelect.disabled = false;\n } catch {\n showError(elements.satelliteSelect, \"Failed to load satellites\");\n }\n}\n\n/**\n * Attempt to restore the previous selections for a new date\n * @returns {Promise} True if restoration was attempted\n */\nasync function restoreSelectionsForDate(date, selections) {\n const satellites = await fetchAvailableSatellites(date);\n populateSelect(elements.satelliteSelect, satellites, \"Select satellite...\");\n elements.satelliteSelect.disabled = false;\n\n if (!selections.satellite || !satellites.includes(selections.satellite)) {\n return false;\n }\n\n elements.satelliteSelect.value = selections.satellite;\n state.satellite = selections.satellite;\n\n hideFromRow(\"sectorTypeRow\");\n showRow(\"sectorTypeRow\");\n const sectorTypes = await fetchAvailableSectorTypes(date, selections.satellite);\n populateSelect(elements.sectorTypeSelect, sectorTypes, \"Select sector type...\");\n elements.sectorTypeSelect.disabled = false;\n\n if (!selections.sectorType || !sectorTypes.includes(selections.sectorType)) {\n return true;\n }\n\n elements.sectorTypeSelect.value = selections.sectorType;\n state.sectorType = selections.sectorType;\n\n hideFromRow(\"sectorRow\");\n showRow(\"sectorRow\");\n const sectors = await fetchAvailableSectors(date, selections.satellite, selections.sectorType);\n populateSelect(elements.sectorSelect, sectors, \"Select sector...\");\n elements.sectorSelect.disabled = false;\n\n if (!selections.sector || !sectors.includes(selections.sector)) {\n return true;\n }\n\n elements.sectorSelect.value = selections.sector;\n state.sector = selections.sector;\n\n hideFromRow(\"plotTypeRow\");\n showRow(\"plotTypeRow\");\n const plotTypes = await fetchAvailablePlotTypes(\n date,\n selections.satellite,\n selections.sectorType,\n selections.sector\n );\n populateSelect(elements.plotTypeSelect, plotTypes, \"Select plot type...\");\n elements.plotTypeSelect.disabled = false;\n\n if (!selections.plotType || !plotTypes.includes(selections.plotType)) {\n return true;\n }\n\n elements.plotTypeSelect.value = selections.plotType;\n state.plotType = selections.plotType;\n\n await loadImagesForSelection();\n return true;\n}\n\n/**\n * Update the date navigation buttons based on the current date value\n */\nfunction updateDateNavButtons() {\n const currentDate = elements.dateSelect.value;\n if (!currentDate || !elements.datePrevBtn || !elements.dateNextBtn) {return;}\n\n const minDate = elements.dateSelect.min || \"2017-04-15\";\n const maxDate = elements.dateSelect.max;\n\n const prevDate = addDaysToDateString(currentDate, -1);\n const nextDate = addDaysToDateString(currentDate, 1);\n\n elements.datePrevBtn.disabled = !prevDate || (minDate && prevDate < minDate);\n elements.dateNextBtn.disabled = !nextDate || (maxDate && nextDate > maxDate);\n}\n\n/**\n * Shift the currently selected date by a number of days\n */\nfunction shiftDateByDays(days) {\n const currentDate = elements.dateSelect.value || state.date;\n if (!currentDate) {return;}\n\n const newDate = addDaysToDateString(currentDate, days);\n if (!newDate || !isDateWithinBounds(newDate)) {return;}\n\n elements.dateSelect.value = newDate;\n updateDateNavButtons();\n handleDateChange({ preserveSelections: true });\n}\n\n/**\n * Parse YYYY-MM-DD string to Date without timezone shifts\n */\nfunction parseDateISO(dateStr) {\n const parts = dateStr.split('-');\n if (parts.length !== 3) {return null;}\n const year = parseInt(parts[0], 10);\n const month = parseInt(parts[1], 10) - 1;\n const day = parseInt(parts[2], 10);\n if (Number.isNaN(year) || Number.isNaN(month) || Number.isNaN(day)) {\n return null;\n }\n return new Date(year, month, day);\n}\n\n/**\n * Format Date to YYYY-MM-DD\n */\nfunction formatDateISO(date) {\n const year = date.getFullYear();\n const month = String(date.getMonth() + 1).padStart(2, '0');\n const day = String(date.getDate()).padStart(2, '0');\n return `${year}-${month}-${day}`;\n}\n\n/**\n * Add days to a YYYY-MM-DD date string\n */\nfunction addDaysToDateString(dateStr, days) {\n const date = parseDateISO(dateStr);\n if (!date) {return null;}\n date.setDate(date.getDate() + days);\n return formatDateISO(date);\n}\n\n/**\n * Validate date is within input min/max bounds\n */\nfunction isDateWithinBounds(dateStr) {\n const selectedDate = parseDateISO(dateStr);\n if (!selectedDate) {return false;}\n\n const minDate = elements.dateSelect.min ? parseDateISO(elements.dateSelect.min) : null;\n const maxDate = elements.dateSelect.max ? parseDateISO(elements.dateSelect.max) : null;\n\n if (minDate && selectedDate < minDate) {\n return false;\n }\n return !(maxDate && selectedDate > maxDate);\n}\n\n/**\n * Handle satellite selection change\n */\nasync function handleSatelliteChange() {\n const satellite = elements.satelliteSelect.value;\n if (!satellite) {return;}\n\n state.satellite = satellite;\n state.sectorType = null;\n state.sector = null;\n state.plotType = null;\n state.images = [];\n\n hideFromRow(\"sectorTypeRow\");\n showRow(\"sectorTypeRow\");\n updateURL();\n\n try {\n const sectorTypes = await fetchAvailableSectorTypes(state.date, satellite);\n populateSelect(elements.sectorTypeSelect, sectorTypes, \"Select sector type...\");\n elements.sectorTypeSelect.disabled = false;\n } catch {\n showError(elements.sectorTypeSelect, \"Failed to load sector types\");\n }\n}\n\n/**\n * Handle sector type selection change\n */\nasync function handleSectorTypeChange() {\n const sectorType = elements.sectorTypeSelect.value;\n if (!sectorType) {return;}\n\n state.sectorType = sectorType;\n state.sector = null;\n state.plotType = null;\n state.images = [];\n\n hideFromRow(\"sectorRow\");\n showRow(\"sectorRow\");\n updateURL();\n\n try {\n const sectors = await fetchAvailableSectors(state.date, state.satellite, sectorType);\n populateSelect(elements.sectorSelect, sectors, \"Select sector...\");\n elements.sectorSelect.disabled = false;\n } catch {\n showError(elements.sectorSelect, \"Failed to load sectors\");\n }\n}\n\n/**\n * Handle sector selection change\n */\nasync function handleSectorChange() {\n const sector = elements.sectorSelect.value;\n if (!sector) {return;}\n\n state.sector = sector;\n state.plotType = null;\n state.images = [];\n\n hideFromRow(\"plotTypeRow\");\n showRow(\"plotTypeRow\");\n updateURL();\n\n try {\n const plotTypes = await fetchAvailablePlotTypes(state.date, state.satellite, state.sectorType, sector);\n populateSelect(elements.plotTypeSelect, plotTypes, \"Select plot type...\");\n elements.plotTypeSelect.disabled = false;\n } catch {\n showError(elements.plotTypeSelect, \"Failed to load plot types\");\n }\n}\n\n/**\n * Handle plot type selection change\n */\nasync function handlePlotTypeChange() {\n const plotType = elements.plotTypeSelect.value;\n if (!plotType) {return;}\n\n state.plotType = plotType;\n state.images = [];\n state.currentIndex = 0;\n\n elements.loadingRow.style.display = \"block\";\n elements.imagesLoadedRow.style.display = \"none\";\n updateURL();\n\n try {\n const images = await fetchAvailableImages(\n state.date,\n state.satellite,\n state.sectorType,\n state.sector,\n plotType\n );\n\n state.images = images;\n elements.loadingRow.style.display = \"none\";\n\n if (images.length > 0) {\n elements.imagesLoadedRow.style.display = \"block\";\n elements.imageCount.textContent = images.length;\n elements.totalFrames.textContent = images.length;\n elements.animationCard.style.display = \"block\";\n\n // Set current index\n state.currentIndex = 0;\n\n // Show wrapper first so timeline can measure correctly\n elements.imageWrapper.style.display = \"block\";\n elements.noImageMessage.style.display = \"none\";\n\n // Use requestAnimationFrame to ensure layout is updated before measuring\n requestAnimationFrame(() => {\n // Render timeline with correct width\n renderTimeline();\n\n // Load first image\n loadImage(0);\n });\n } else {\n showError(null, \"No images found for this selection\");\n }\n } catch {\n elements.loadingRow.style.display = \"none\";\n showError(null, \"Failed to load images\");\n }\n}\n\n/**\n * Fetch available satellites for a date\n */\nasync function fetchAvailableSatellites(date) {\n const [year, month, day] = date.split('-');\n const url = `${BASE_URL}/${year}/${month}/${day}/cod/sat/`;\n\n const dirs = await fetchDirectoryListing(url);\n return dirs.filter(d => d.startsWith('goes')).sort();\n}\n\n/**\n * Fetch available sector types for a satellite\n */\nfunction fetchAvailableSectorTypes(date, satellite) {\n const [year, month, day] = date.split('-');\n const url = `${BASE_URL}/${year}/${month}/${day}/cod/sat/${satellite}/`;\n\n return fetchDirectoryListing(url);\n}\n\n/**\n * Fetch available sectors for a sector type\n */\nfunction fetchAvailableSectors(date, satellite, sectorType) {\n const [year, month, day] = date.split('-');\n const url = `${BASE_URL}/${year}/${month}/${day}/cod/sat/${satellite}/${sectorType}/`;\n\n return fetchDirectoryListing(url);\n}\n\n/**\n * Fetch available plot types for a sector\n */\nfunction fetchAvailablePlotTypes(date, satellite, sectorType, sector) {\n const [year, month, day] = date.split('-');\n const url = `${BASE_URL}/${year}/${month}/${day}/cod/sat/${satellite}/${sectorType}/${sector}/`;\n\n return fetchDirectoryListing(url);\n}\n\n/**\n * Fetch available images by parsing Apache directory listing\n */\nasync function fetchAvailableImages(date, satellite, sectorType, sector, plotType) {\n const [year, month, day] = date.split('-');\n const url = `${BASE_URL}/${year}/${month}/${day}/cod/sat/${satellite}/${sectorType}/${sector}/${plotType}/`;\n\n try {\n const response = await fetch(url);\n if (!response.ok) {\n throw new Error(`HTTP error! status: ${response.status}`);\n }\n\n const html = await response.text();\n const parser = new DOMParser();\n const doc = parser.parseFromString(html, 'text/html');\n const links = Array.from(doc.querySelectorAll('a'));\n const jpgFiles = links\n .map(link => link.getAttribute('href'))\n .filter(href => href?.match(/\\.jpg$/i));\n\n return jpgFiles.map(filename => {\n const fullUrl = `${BASE_URL}/${year}/${month}/${day}/cod/sat/${satellite}/${sectorType}/${sector}/${plotType}/${filename}`;\n const timestamp = extractTimestamp(filename);\n return { url: fullUrl, filename, timestamp };\n });\n } catch {\n return [];\n }\n}\n\n/**\n * Extract timestamp from filename\n * Format: sector_band_YYYYMMDDHHmmss.jpg\n */\nfunction extractTimestamp(filename) {\n const match = filename.match(/(\\d{14})/);\n if (match) {\n const ts = match[1];\n const year = ts.substring(0, 4);\n const month = ts.substring(4, 6);\n const day = ts.substring(6, 8);\n const hour = ts.substring(8, 10);\n const minute = ts.substring(10, 12);\n const second = ts.substring(12, 14);\n\n return `${year}-${month}-${day} ${hour}:${minute}:${second} UTC`;\n }\n return \"Unknown\";\n}\n\n/**\n * Fetch directory listing by parsing HTML\n */\nasync function fetchDirectoryListing(url) {\n showStatus(`Fetching directory listing ${url}`, 'info');\n try {\n const response = await fetch(url);\n if (!response.ok) {\n showStatus(`URL failed (${response.status}) ${url}`, 'danger');\n throw new Error(`HTTP error! status: ${response.status}`);\n }\n\n const html = await response.text();\n showStatus(`Successfully fetched directory listing ${url}`, 'success');\n const parser = new DOMParser();\n const doc = parser.parseFromString(html, 'text/html');\n const links = doc.querySelectorAll('a');\n\n const dirs = [];\n links.forEach(link => {\n const href = link.getAttribute('href');\n const dirName = extractValidDirectoryName(href);\n if (dirName) {\n dirs.push(dirName);\n }\n });\n\n return dirs.sort();\n } catch (error) {\n // Only show status if it wasn't already shown (avoid duplicate messages)\n if (!error.message.includes('HTTP error')) {\n showStatus(`Unable to load directory listing from ${url}`, 'danger');\n }\n return [];\n }\n}\n\n/**\n * Show status message\n * @param {string} message - Status message to display\n * @param {string} type - Bootstrap alert type: info, success, danger, warning\n */\nfunction showStatus(message, type = 'info') {\n if (!elements.statusIndicator || !elements.statusMessage) {return;}\n\n elements.statusMessage.textContent = message;\n elements.statusIndicator.className = `alert alert-${type} mb-3`;\n elements.statusIndicator.style.display = 'block';\n}\n\n/**\n * Extract valid directory name from href\n * Returns null if href is not a valid local directory\n */\nfunction extractValidDirectoryName(href) {\n if (!href || !href.endsWith('/')) {return null;}\n\n // Match simple directory names: alphanumeric, underscores, hyphens, followed by /\n // This excludes ../, /, paths with slashes, and URLs\n const match = href.match(/^([a-zA-Z0-9_-]+)\\/$/);\n return match ? match[1] : null;\n}\n\n/**\n * Populate select element with options\n */\nfunction populateSelect(selectElement, options, placeholder) {\n selectElement.innerHTML = ``;\n\n options.forEach(option => {\n const optElement = document.createElement('option');\n optElement.value = option;\n optElement.textContent = formatOptionText(option);\n selectElement.appendChild(optElement);\n });\n}\n\n// Label mappings for satellite products\nconst PRODUCT_LABELS = {\n // Product names\n 'natcolor': 'Natural Color',\n 'natcolorfire': 'Natural Color + Fire',\n 'truecolor': 'True Color',\n 'airmass': 'Air Mass',\n 'dcphase': 'Day Cloud Phase',\n 'ntmicro': 'Night Microphysics',\n 'sandwich': 'Sandwich',\n 'simplewv': 'Simple Water Vapor',\n 'abi01': 'Visible Blue (abi01)',\n 'abi02': 'Visible Red (abi02)',\n 'abi03': 'Veggie NIR (abi03)',\n 'abi04': 'Cirrus NIR (abi04)',\n 'abi05': 'Snow/Ice NIR (abi05)',\n 'abi06': 'Particle Size (abi06)',\n 'abi07': 'Shortwave IR (abi07)',\n 'abi08': 'Upper-level WV (abi08)',\n 'abi09': 'Mid-level WV (abi09)',\n 'abi10': 'Lower-level WV (abi10)',\n 'abi11': 'Cloud Top Phase (abi11)',\n 'abi12': 'Ozone (abi12)',\n 'abi13': 'Clean LWIR (abi13)',\n 'abi14': 'Long-wave IR (abi14)',\n 'abi15': 'Dirty LWIR (abi15)',\n 'abi16': 'CO2 LWIR (abi16)'\n};\n\n/**\n * Format option text for display\n */\nfunction formatOptionText(text) {\n // Check for GOES satellite pattern: goes16, goes17, etc.\n const goesMatch = text.match(/^goes(\\d+)$/);\n if (goesMatch) {\n return `GOES-${goesMatch[1]}`;\n }\n\n // Look up in product labels dictionary\n if (PRODUCT_LABELS[text]) {\n return PRODUCT_LABELS[text];\n }\n\n // Return original text if no match\n return text;\n}\n\n/**\n * Load and display an image\n */\nfunction loadImage(index) {\n if (index < 0 || index >= state.images.length) {return;}\n\n state.currentIndex = index;\n const imageData = state.images[index];\n\n elements.satelliteImage.src = imageData.url;\n elements.currentFrame.textContent = index + 1;\n elements.currentTime.textContent = imageData.timestamp;\n\n // Update state and URL with current timestamp\n state.currentTimestamp = imageData.timestamp;\n updateURL();\n\n // Update timeline visualization\n updateTimelinePosition();\n\n // Preload next few images for smoother playback\n preloadImages(index);\n}\n\n/**\n * Preload next few images for smoother animation\n */\nfunction preloadImages(startIndex) {\n const preloadCount = 5;\n for (let i = 1; i <= preloadCount; i++) {\n const nextIndex = startIndex + (i * state.skipFrames);\n if (nextIndex < state.images.length && state.images[nextIndex]) {\n const img = new Image();\n img.src = state.images[nextIndex].url;\n }\n }\n}\n\n/**\n * Render interactive timeline with clickable dots for each frame\n */\nfunction renderTimeline() {\n if (!state.images || state.images.length === 0) {return;}\n\n const svg = elements.timeline;\n const width = svg.clientWidth || 800;\n const height = 50;\n const margin = { left: 30, right: 30, top: 10, bottom: 20 };\n const chartWidth = width - margin.left - margin.right;\n\n // Clear existing content\n svg.innerHTML = '';\n svg.setAttribute('viewBox', `0 0 ${width} ${height}`);\n\n // Draw timeline line\n const line = document.createElementNS('http://www.w3.org/2000/svg', 'line');\n line.setAttribute('x1', margin.left);\n line.setAttribute('y1', height / 2);\n line.setAttribute('x2', width - margin.right);\n line.setAttribute('y2', height / 2);\n line.setAttribute('class', 'timeline-line');\n svg.appendChild(line);\n\n // Calculate positions for dots\n const dotSpacing = chartWidth / (state.images.length - 1 || 1);\n\n // For large datasets, we need to sample dots to avoid overcrowding\n // Show max ~100 dots, but always include first, last, and current\n const maxDots = 100;\n const shouldSample = state.images.length > maxDots;\n const sampleRate = shouldSample ? Math.ceil(state.images.length / maxDots) : 1;\n\n // Track which indices have dots rendered (for updateTimelinePosition)\n const renderedIndices = new Set(); // Draw dots for each frame\n state.images.forEach((image, index) => {\n // Always show first, last, and current frame\n const isFirst = index === 0;\n const isLast = index === state.images.length - 1;\n const isCurrent = index === state.currentIndex;\n const isSampled = index % sampleRate === 0;\n\n if (!isFirst && !isLast && !isCurrent && !isSampled) {\n return; // Skip this dot\n }\n\n renderedIndices.add(index); const x = margin.left + (index * dotSpacing);\n const y = height / 2;\n\n // Check if this is the current/active frame\n const isActive = index === state.currentIndex;\n\n // Create dot with larger size for active frame\n const dot = document.createElementNS('http://www.w3.org/2000/svg', 'circle');\n dot.setAttribute('cx', x);\n dot.setAttribute('cy', y);\n dot.setAttribute('r', isActive ? 6 : 3);\n dot.setAttribute('fill', isActive ? '#dc3545' : '#0d6efd');\n dot.setAttribute('stroke', '#fff');\n dot.setAttribute('stroke-width', isActive ? 2 : 1);\n dot.setAttribute('class', isActive ? 'timeline-dot active' : 'timeline-dot');\n dot.setAttribute('data-index', index);\n dot.setAttribute('data-timestamp', image.timestamp);\n\n // Add click handler\n dot.addEventListener('click', () => {\n if (state.isPlaying) {\n stopAnimation();\n }\n loadImage(index);\n });\n\n // Add hover title\n const title = document.createElementNS('http://www.w3.org/2000/svg', 'title');\n title.textContent = image.timestamp;\n dot.appendChild(title);\n\n svg.appendChild(dot);\n\n // Add time labels for first, middle, and last frames\n const shouldShowLabel = index === 0 ||\n index === Math.floor(state.images.length / 2) ||\n index === state.images.length - 1;\n\n if (shouldShowLabel) {\n const label = document.createElementNS('http://www.w3.org/2000/svg', 'text');\n label.setAttribute('x', x);\n label.setAttribute('y', height - 5);\n label.setAttribute('text-anchor', 'middle');\n label.setAttribute('class', 'timeline-label');\n label.textContent = image.timestamp.substring(11, 16); // HH:mm\n svg.appendChild(label);\n }\n });\n\n // Update the active position\n updateTimelinePosition();\n}\n\n/**\n * Update timeline to highlight current position\n */\nfunction updateTimelinePosition() {\n if (!elements.timeline) {return;}\n\n // Get all existing dots\n const dots = elements.timeline.querySelectorAll('.timeline-dot');\n\n // Check if current index has a dot\n let currentDotExists = false; // Update existing dots\n dots.forEach((dot) => {\n const dotIndex = parseInt(dot.getAttribute('data-index'));\n const isCurrent = dotIndex === state.currentIndex;\n\n if (isCurrent) {\n currentDotExists = true;\n dot.setAttribute('fill', '#dc3545');\n dot.setAttribute('r', 6);\n dot.setAttribute('stroke-width', 2);\n dot.classList.add('active');\n } else {\n dot.setAttribute('fill', '#0d6efd');\n dot.setAttribute('r', 3);\n dot.setAttribute('stroke-width', 1);\n dot.classList.remove('active');\n }\n });\n\n // If current frame doesn't have a dot, add one\n if (!currentDotExists && state.images.length > 0) {\n const svg = elements.timeline;\n const width = svg.clientWidth || 800;\n const height = 50;\n const margin = { left: 30, right: 30, top: 10, bottom: 20 };\n const chartWidth = width - margin.left - margin.right;\n const dotSpacing = chartWidth / (state.images.length - 1 || 1);\n\n const x = margin.left + (state.currentIndex * dotSpacing);\n const y = height / 2;\n\n const dot = document.createElementNS('http://www.w3.org/2000/svg', 'circle');\n dot.setAttribute('cx', x);\n dot.setAttribute('cy', y);\n dot.setAttribute('r', 6);\n dot.setAttribute('fill', '#dc3545');\n dot.setAttribute('stroke', '#fff');\n dot.setAttribute('stroke-width', 2);\n dot.setAttribute('class', 'timeline-dot active current-indicator');\n dot.setAttribute('data-index', state.currentIndex);\n dot.setAttribute('data-timestamp', state.images[state.currentIndex].timestamp);\n\n // Add click handler\n dot.addEventListener('click', () => {\n if (state.isPlaying) {\n stopAnimation();\n }\n loadImage(state.currentIndex);\n });\n\n // Add hover title\n const title = document.createElementNS('http://www.w3.org/2000/svg', 'title');\n title.textContent = state.images[state.currentIndex].timestamp;\n dot.appendChild(title);\n\n svg.appendChild(dot);\n }\n}\n/**\n * Handle keyboard shortcuts\n */\nfunction handleKeyboardInput(e) {\n // Ignore if focus is on an input or select\n if (e.target.tagName === 'INPUT' || e.target.tagName === 'SELECT') {return;}\n\n if (handleShiftDayNavigation(e)) {return;}\n\n if (state.images.length === 0) {return;}\n\n const handlers = {\n ArrowLeft: () => handleFrameStep(-1),\n ArrowRight: () => handleFrameStep(1),\n Home: handleFirstFrame,\n End: handleLastFrame,\n ' ': () => handlePlayPause(e)\n };\n\n const handler = handlers[e.key];\n if (handler) {\n handler();\n }\n}\n\nfunction handleShiftDayNavigation(e) {\n if (!e.shiftKey || (e.key !== 'ArrowLeft' && e.key !== 'ArrowRight')) {\n return false;\n }\n\n e.preventDefault();\n shiftDateByDays(e.key === 'ArrowLeft' ? -1 : 1);\n return true;\n}\n\nfunction handleFrameStep(direction) {\n stopAnimation();\n let nextIndex = state.currentIndex + (direction * state.skipFrames);\n if (nextIndex < 0) {\n nextIndex = state.loop ? state.images.length - 1 : 0;\n }\n if (nextIndex >= state.images.length) {\n nextIndex = state.loop ? 0 : state.images.length - 1;\n }\n loadImage(nextIndex);\n}\n\nfunction handlePlayPause(event) {\n event.preventDefault(); // Prevent scrolling\n if (state.isPlaying) {\n stopAnimation();\n } else {\n playAnimation();\n }\n}\n\nfunction handleFirstFrame() {\n stopAnimation();\n loadImage(0);\n}\n\nfunction handleLastFrame() {\n stopAnimation();\n loadImage(state.images.length - 1);\n}\n\n/**\n * Play animation\n */\nfunction playAnimation() {\n if (state.images.length === 0) {return;}\n\n state.isPlaying = true;\n elements.playBtn.disabled = true;\n elements.stopBtn.disabled = false;\n\n state.animationInterval = setInterval(() => {\n let nextIndex = state.currentIndex + state.skipFrames;\n\n if (nextIndex >= state.images.length) {\n if (state.loop) {\n nextIndex = 0;\n } else {\n stopAnimation();\n return;\n }\n }\n\n loadImage(nextIndex);\n }, state.speed);\n}\n\n/**\n * Stop animation and stay on current frame\n */\nfunction stopAnimation() {\n state.isPlaying = false;\n clearInterval(state.animationInterval);\n\n elements.playBtn.disabled = false;\n elements.stopBtn.disabled = true;\n\n // Stay on current frame, don't reset to first frame\n}\n\n/**\n * Reset UI to initial state\n */\nfunction resetUI() {\n hideFromRow(\"sectorTypeRow\");\n elements.animationCard.style.display = \"none\";\n elements.imageWrapper.style.display = \"none\";\n elements.noImageMessage.style.display = \"block\";\n elements.loadingRow.style.display = \"none\";\n elements.imagesLoadedRow.style.display = \"none\";\n\n if (state.isPlaying) {\n stopAnimation();\n }\n}\n\n/**\n * Show a row and all subsequent rows\n */\nfunction showRow(rowId) {\n document.getElementById(rowId).style.display = \"block\";\n}\n\n/**\n * Hide a row and all subsequent rows\n */\nfunction hideFromRow(rowId) {\n const rows = [\"sectorTypeRow\", \"sectorRow\", \"plotTypeRow\", \"loadingRow\", \"imagesLoadedRow\"];\n const startIndex = rows.indexOf(rowId);\n\n if (startIndex !== -1) {\n for (let i = startIndex; i < rows.length; i++) {\n document.getElementById(rows[i]).style.display = \"none\";\n\n // Disable and reset corresponding select\n const selectId = rows[i].replace(\"Row\", \"Select\");\n const select = document.getElementById(selectId);\n if (select) {\n select.disabled = true;\n select.innerHTML = '';\n }\n }\n }\n}\n\n/**\n * Show error message\n */\nfunction showError(element, message) {\n if (element) {\n element.innerHTML = ``;\n }\n // Could add a toast notification here\n}\n\n/**\n * Copy shareable link to clipboard\n */\nasync function copyShareLink(event) {\n event.preventDefault();\n const url = window.location.href;\n\n try {\n await navigator.clipboard.writeText(url);\n\n // Visual feedback\n const originalText = elements.shareBtn.innerHTML;\n elements.shareBtn.innerHTML = ' Copied!';\n elements.shareBtn.classList.remove('btn-outline-success');\n elements.shareBtn.classList.add('btn-success');\n\n setTimeout(() => {\n elements.shareBtn.innerHTML = originalText;\n elements.shareBtn.classList.remove('btn-success');\n elements.shareBtn.classList.add('btn-outline-success');\n }, 2000);\n } catch {\n // Fallback for older browsers\n const textarea = document.createElement('textarea');\n textarea.value = url;\n textarea.style.position = 'fixed';\n textarea.style.opacity = '0';\n document.body.appendChild(textarea);\n textarea.select();\n\n try {\n document.execCommand('copy');\n elements.shareBtn.innerHTML = ' Copied!';\n } catch {\n elements.shareBtn.innerHTML = ' Failed';\n }\n\n document.body.removeChild(textarea);\n\n setTimeout(() => {\n elements.shareBtn.innerHTML = ' Share';\n }, 2000);\n }\n}\n\n// Initialize when DOM is ready\nif (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', init);\n} else {\n init();\n}\n" }, { "path": "htdocs/archive/codsat/index.phtml", "content": "title = \"MTArchive + College of DuPage Satellite Archive Browser\";\n$t->headextra = <<\nEOM;\n$t->jsextra = <<\nEOM;\n$t->content = <<\n
      \n
    1. Data Archive
      2. \n
    2. COD Satellite Browser
      3. \n
    \n\n\n

    MTArchive + College of DuPage Satellite Archive Browser

    \n\n

    This application allows you to browse and animate GOES satellite imagery from the\nIowa State MTArchive\npowered by the College of DuPage NEXLAB imagery.

    \n\n
    \n Notice:\n The app is meant for archive usage and not near real-time imagery. Please\n continue to use the excellent CoD website for real-time viewing!\n
    \n\n
    \n \n Status: \n \n
    \n\n
    \n
    \n
    \n
    \n
    Image Selection
    \n
    \n
    \n
    \n
    \n \n
    \n \n \n \n
    \n Select date to browse available imagery\n
    \n\n
    \n \n \n Available GOES satellites for selected date\n
    \n\n
    \n \n \n Continental, global, mesoscale, regional, or subregional\n
    \n\n
    \n \n \n Available sectors for selected type\n
    \n\n
    \n \n \n Available imagery types\n
    \n\n
    \n
    \n \n Loading available images...\n
    \n
    \n\n
    \n
    \n 0 images loaded and ready to animate\n \n
    \n
    \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    Animation Viewer
    \n
    \n
    \n
    \n \n

    Select options to view imagery

    \n
    \n
    \n \"Satellite\n
    \n
    \n \n Frame 0 of 0\n
    \n Time: --\n     \n
    \n
    \n
    \n \n
    \n
    \n
    \n \n
    \n
    \n
    \n\nEOM;\n$t->render(\"full.phtml\");\n" }, { "path": "htdocs/archive/index.php", "content": "iem_resource = \"ARCHIVE\";\n$t->title = \"Archived Data Resources\";\n\n$dllist = $get_iemapps_tags(\"download\");\n$d = date(\"Y/m/d\");\n$t->content = <<\n

    Archived Data & Plots

    \n\n

    This page contains a listing of archive resources. A brief\n description of each link is included to aid your search. If you are still\n having difficulty finding something, please\n let us know.

    \n\n\n
    \n
    \n\n
    \n
    \n

    Multi-RADAR Multi-Sensor (MRMS) Archiving

    \n
    \n
    \n See IEM MRMS archive page.\n
    \n
    \n\n
    \n
    \n

    NWS Watch/Warnings/Advisories

    \n
    \n
    \n \n
    \n
    \n\n
    \n
    \n

    RADAR Data

    \n
    \n
    \n
      \n
    • Amazon S3 NEXRAD II Archive\n
      Your first stop if you are looking for archived Level II files!
      • \n\n
    • NIDS NEXRAD Data\n
      NEXRAD data from the seven sites (DMX,DVN,OAX,FSD,ARX,MPX,EAX) with\n Iowa coverage. Since mid April 2002, all NIDS products are archived. Before\n then, only base reflectivity was saved.
      • \n\n
    • IEM 2 day Level II Archive\n
      The IEM maintains an archive of Level II data for roughly the past two days.
      • \n\n
    • GIS NEXRAD Composites\n
      Composites of NEXRAD base reflectivity. The raw files are found\n in the general IEM archive in the sub-directory called 'GIS/uscomp/'.
      • \n
    \n
    \n
    \n\n
    \n
    \n

    Satellite

    \n
    \n
    \n \n
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    \n\n
    \n
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    NWS Text Products

    \n
    \n
    \n

    Please visit this dedicated page for information\n about the IEM's text product archives.

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Raw Data

    \n
    \n
    \n

    Directory schema details for the per-UTC date\n IEM Archive and MTArchive.

    \n\n
      \n
    • BUFKIT archives\n
      Iowa Only The general IEM data archive\n contains a sub-directory called 'bufkit'.\n This directory contains model point soundings for locations near Iowa. The\n archive started 25 January 2006 - 27 March 2015.\n
      Mtarchive BUFKIT Archive\n This archive contains data for many more sites and models.\n
      IEM API BUFKIT Webservice\n allows for nearest in space/time searches, atomic data download and more.\n
      • \n\n
    • GEMPAK data archive\n
      Archive of gempak products taken from the UNIDATA NOAAPORT feed. This\n archive dates back to 2001 and for some dates even further.
      • \n\n
    • HRRR Model Archive\n
      Archive maintained by University of Utah of the HRRR model.
      • \n\n
    • IEM Network Data\n
      IEM data in its original unprocessed form. ASOS/AWOS METAR observation,\n RWIS comma-deliminated data, schoolnet csv data, SCAN site format and COOP\n observations
      • \n\n
    • Unidata IDD 6 month archive\n
      Archive of raw data provided by Unidata for the past 6 months!
      • \n
    • NCDC NOMADS Big Archive!!\n
      Lots of raw model data and other goodies, a definite must-visit.
      • \n
    \n
    \n
    \n\n
    \n
    \n

    Miscellaneous Archives

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    \n \n
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    \n\n
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    \n

    US Daily Weather Maps

    \n
    \n
    \n \n
    \n
    \n\n
    \n
    \n

    Data Download Forms

    \n
    \n
    \n {$dllist}\n
    \n
    \n\n
    \n
    \n\n
    \n

    Are we forgetting something? Please let us know of other\n archives that are available for Iowa data.

    \n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/archive/mrms.php", "content": "title = \"IEM Provided MRMS Archives\";\n\n$d = date(\"Y/m/d\");\n\n$t->content = <<\n
      \n
    1. Archive
      2. \n
    2. MRMS Archives
      3. \n
    \n\n\n

    IEM Provided MRMS Archives

    \n\n

    Archive Changelog

    \n
      \n
    • 30 Sep 2025: Document the \"Path Forward\" for the MRMS hourly zip\n files.
      • \n
    • 24 Sep 2025: Attempting to consolidate documentation on this\n page and start to document an upcoming archive data removal of hourly zip files\n per Iowa State cloud storage changes.
      • \n
    \n\n
    \n
    \n
    \n
    \n
    \"Path Forward\" for MRMS hourly zip archive
    \n
    \n
    \n\n

    The IEM has been providing an\narchive of hourly MRMS zip files since September\n2019. This archive consisted of some modest local storage caching recent data\nand then the rest being made available via cloud storage. Due to a quota change\nwith the cloud storage, this archive is no longer viable in its entirety. So here\nis a listing of the path forward for this archive.

    \n\n

    27 Sep 2019 - 30 Oct 2020: This portion of the archive is not\navailable via the NOAA AWS OpenData MRMS archive. The data also represents a period\nprior to a major MRMS upgrade\nthat happened, which makes it not as seemlessly comparable with MRMS data after. NOAA\nmade a decision to not backfill this data to AWS OpenData for this reason. There\nis space locally to continue to host this data and it will be kept around until\nperhaps better things are made available from NOAA...

    \n\n

    Nov 2020 - Present: This portion of the archive should be\navailable via the NOAA AWS\nOpenData MRMS archive. There is limited utility for it to be kept around, but\nsome folks may have a usage for the convience factor of having everything zipped up\nin one file. So going forward, a very limited cache will be kept around, which should\nbe a month or two of data. Presently, a cross checking process is running to ensure\nthe AWS archive contains everything found within this archive. So you will notice\nfiles start being removed once the cross check completes.

    \n\n
    \n\n\n
    \n
    \n
    \n
    \n
    MRMS Project Overview
    \n
    \n
    \n

    The MRMS Project is\n an important part of the IEM's data curation effort. It directly drives the\n rainfall product within the Daily Erosion Project\n and is used in a variety of other applications. The IEM has been archiving and\n generating products from MRMS since the early days running at NSSL prior to being\n operationalized by the NWS NCEP.

    \n\n

    The NSSL MRMS website has a handy\nGrib Table Listing,\nwhich helps with knowing what is available and grib file units.

    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    AWS OpenData Archive
    \n
    \n
    \n

    Starting in October 2020, MRMS started to be archived at\n AWS OpenData, which\n obsoleted much of the utility of IEM's raw grib product archives. However, this\n archive does not include what the IEM archived prior to Oct 2020 back to about\n Sep 2019.

    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    MTArchive Site
    \n
    \n
    \n

    To support the Daily Erosion Project and other applications, the IEM\n archived a select number of MRMS grib fields at per UTC date trees on the\n MTArchive site\n , which contains products back to October 2014 (NCEP implementation) and also\n a \"Tile2\" binary file (which covered Iowa) from the NSSL days.

    \n\n

    The MTArchive site also contains an archive example\n of the MRMS ReAnalysis, but a more useful\n copy exists on AWS OpenData.

    \n
    \n
    \n
    \n\n
    \n
    \n
    \n
    Real-time Files
    \n
    \n
    \n

    The IEM also has a cache of near realtime grib files on\n metfs1 service,\n but its utility is not as useful as what you can find at the\n official MRMS Data Website.

    \n
    \n
    \n
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/archive/raob/index.module.js", "content": "\n/**\n * Initialize datetime input fields with appropriate defaults and constraints\n */\nfunction initializeDateTimeInputs() {\n // Find all elements that were previously using flatpickr\n const dateInputs = document.querySelectorAll('.fdp');\n \n // Set minimum date to 1947-02-01 (consistent with original flatpickr config)\n const minDateTime = '1947-02-01T00:00';\n \n dateInputs.forEach(input => {\n // Convert to datetime-local input type for native browser support\n input.type = 'datetime-local';\n input.min = minDateTime;\n \n // Set default value if empty\n if (!input.value) {\n // Set default to current date/time for better UX\n const now = new Date();\n const year = now.getFullYear();\n const month = String(now.getMonth() + 1).padStart(2, '0');\n const day = String(now.getDate()).padStart(2, '0');\n const hours = String(now.getHours()).padStart(2, '0');\n const minutes = String(now.getMinutes()).padStart(2, '0');\n \n input.value = `${year}-${month}-${day}T${hours}:${minutes}`;\n }\n });\n}\n\n/**\n * Initialize the RAOB archive page functionality\n */\nfunction init() {\n initializeDateTimeInputs();\n}\n\n// Initialize when DOM is loaded\nif (document.readyState === \"loading\") {\n document.addEventListener(\"DOMContentLoaded\", init);\n} else {\n init();\n}\n\nexport { init, initializeDateTimeInputs };" }, { "path": "htdocs/archive/raob/index.phtml", "content": "iem_resource = \"RAOB\";\n$t->jsextra=<<\nEOM;\n$t->title = \"Rawinsonde Data Archive\";\n$nselect = networkSelect(\"RAOB\", \"OAX\");\n$t->content = <<Rawinsonde (RAOB) Data Archive\n\n

    For many moons, the IEM archived the soundings provided by the now defunct\nNOAA rucsoundings website. This website was shutdown during September 2024, so\nthe IEM started to ingest what was provided by the\nStorm Prediction Center\nwebsite. This source was found to be missing many sounding locations that the\nIEM previous archived. So the IEM started to ingest what is provided by\n\nNCEI Integrated Global Radiosonde Archive, but this archive is not in real-time.\nSo as of March 2025, this website contains near real-time data from SPC and is\nbackfilled eventually with data from the NCEI archive.

    \n\n

    Data for the United States and Canada is available. This\n data are vertical profiles of the atmosphere taken from weather balloons released\n twice daily.

    \n\n
    \n
    \n

    Available Tools

    \n
    \n
    \n
    \n
    \n \n
    \n
    \n \n
    \n
    \n
    \n
    \n\n
    \n
    \n

    Download Data

    \n
    \n
    \n

    This form provides a simple comma delimited file of RAOB data, the columns\n should be self-explanatory except the 'levelcode' column. Those values \n provide metadata on that level of data. The start time is inclusive and\n end time is exclusive. Special soundings should be in this archive as well.

    \n\n
    \n
    \n
    \n
    \n
    Level Codes
    \n
    \n
    \n
      \n
    • 4 = mandatory level
      • \n
    • 5 = significant level
      • \n
    • 6 = wind level (PPBB)
      • \n
    • 7 = tropopause level
      • \n
    • 8 = maximum wind level
      • \n
    • 9 = surface level
      • \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    Output Datafile Columns
    \n
    \n
    \n 
    station      3 or 4 character station identifier\nvalidUTC     RAOB Launch Cycle Time in UTC\nlevelcode    Level Code for this observation, not always available\npressure_mb  Pressure of data in millibar\nheight_m     Height above sea level m\ntmpc         Air Temperature in C\ndwpc         Dew Point Temperature in C\ndrct         Wind Direction in deg from North\nspeed_kts    Wind Speed in knots\nbearing      Balloon bearing in degree, not always available\nrange_sm     Ballon range from launch in statute miles, not always available
    \n
    \n
    \n
    \n
    \n\n
    \n
    \n
    Data Request Form
    \n
    \n
    \n
    \n
    \n
    \n \n {$nselect}\n
    \n
    \n
    \n \n \n
    \n
    \n
    \n
    \n
    \n \n \n
    \n
    \n \n \n
    \n
    \n
    \n
    \n \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n\n
    \n
    \n

    JSON(P) Webservice

    \n
    \n
    \n

    A JSON webservice exists for more programatic access, more information is\n here.

    \n
    \n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/archive/raob/list.module.js", "content": "/* RAOB List - Tabulator + Vanilla JS Implementation */\nimport {TabulatorFull as Tabulator} from 'https://unpkg.com/tabulator-tables@6.3.1/dist/js/tabulator_esm.min.mjs';\nimport { requireElement } from '/js/iemjs/domUtils.js';\n\nlet station = '_OAX';\nlet year = new Date().getFullYear();\nlet table = null;\nlet sortby = \"-\"; // Sentinel value for no sort\nlet asc = \"desc\";\nlet filter_year = true; // Not implemented as too much data for JSON\n\nfunction rnd(val, precision) {\n return (val === null) ? \"\" : val.toFixed(precision);\n}\n\n// Column definitions for Tabulator\nconst columns = [\n {title: \"ID\", field: \"station\", width: 80, frozen: true},\n {title: \"Valid\", field: \"valid\", width: 120, frozen: true},\n {title: \"SBCAPE J/kg\", field: \"sbcape_jkg\", width: 110, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"MUCAPE J/kg\", field: \"mucape_jkg\", width: 110, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"SBCIN J/kg\", field: \"sbcin_jkg\", width: 110, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"MUCIN J/kg\", field: \"mucin_jkg\", width: 110, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"PrecipWater mm\", field: \"pwater_mm\", width: 120, formatter: (cell) => rnd(cell.getValue(), 1), sorter: \"number\"},\n {title: \"LCL m\", field: \"lcl_agl_m\", width: 80, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"LFC m\", field: \"lfc_agl_m\", width: 80, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"EL m\", field: \"el_agl_m\", width: 80, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"Total Totals\", field: \"total_totals\", width: 100, formatter: (cell) => rnd(cell.getValue(), 1), sorter: \"number\"},\n {title: \"SWEAT\", field: \"sweat_index\", width: 80, formatter: (cell) => rnd(cell.getValue(), 1), sorter: \"number\"},\n {title: \"SRH 0-3 km m²/s²\", field: \"srh_sfc_3km_total\", width: 130, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"SRH 0-1 km m²/s²\", field: \"srh_sfc_1km_total\", width: 130, formatter: (cell) => rnd(cell.getValue(), 0), sorter: \"number\"},\n {title: \"SHR 0-6 km m/s\", field: \"shear_sfc_6km_smps\", width: 120, formatter: (cell) => rnd(cell.getValue(), 1), sorter: \"number\"}\n];\n\nfunction initializeTable() {\n table = new Tabulator(\"#datatable\", {\n height: \"80vh\",\n layout: \"fitColumns\",\n responsiveLayout: \"hide\",\n responsiveLayoutCollapseStartOpen: false,\n columnDefaults: {\n tooltip: true,\n },\n columns,\n placeholder: \"No data available\",\n pagination: \"local\",\n paginationSize: 50,\n paginationSizeSelector: [25, 50, 100, 200, true],\n movableColumns: true,\n resizableRows: false,\n selectable: false,\n data: [],\n footerElement: '
    Viewing: Table of Sounding Parameters
    '\n });\n}\n\nfunction buildServiceUrl() {\n const ascbool = (asc === \"asc\") ? \"true\" : \"false\";\n let service = `/api/1/raobs_by_year.json?station=${station}&asc=${ascbool}`;\n\n if (sortby !== \"-\") {\n service += `&sortby=${sortby}`;\n } else if (filter_year) {\n service += `&year=${year}`;\n }\n\n return service;\n}\n\nfunction buildCaption() {\n let caption = `RAOB Data for ${station}`;\n\n if (sortby !== \"-\") {\n caption = `${caption} sorted by ${sortby} ${asc} (Top 100)`;\n } else if (filter_year) {\n caption = `${caption} for ${year}`;\n }\n\n return caption;\n}\n\nfunction updateUrlParameters() {\n const url = new URL(window.location);\n url.searchParams.set('station', station);\n\n if (sortby !== \"-\") {\n url.searchParams.set('sortby', sortby);\n url.searchParams.set('asc', asc);\n url.searchParams.delete('year');\n } else if (filter_year) {\n url.searchParams.set('year', year);\n url.searchParams.set('asc', asc);\n url.searchParams.delete('sortby');\n }\n\n window.history.replaceState({}, '', url);\n}\n\nfunction updateFooterCaption(caption, suffix = '') {\n const footerInfo = document.querySelector('.tabulator-info');\n if (footerInfo) {\n footerInfo.textContent = `${caption}${suffix}`;\n }\n}\n\nfunction handleFetchSuccess(data, caption) {\n table.setData(data.data);\n updateFooterCaption(`Viewing: ${caption}`, ` (${data.data.length} records)`);\n \n if (data.data.length === 0) {\n table.setData([]);\n }\n}\n\nfunction handleFetchError(error) {\n updateFooterCaption(`Error loading data ${error.message}`);\n}\n\nasync function fetchData() {\n const service = buildServiceUrl();\n const caption = buildCaption();\n \n updateUrlParameters();\n updateFooterCaption(`Loading: ${caption}...`);\n \n try {\n const response = await fetch(service);\n if (!response.ok) {\n throw new Error(`HTTP error! status: ${response.status}`);\n }\n const data = await response.json();\n handleFetchSuccess(data, caption);\n } catch (error) {\n handleFetchError(error);\n }\n}\n\nfunction setupEventListeners() {\n // Station select change\n const stationSelect = document.querySelector(\"select[name='station']\");\n if (stationSelect) {\n stationSelect.addEventListener('change', (e) => {\n station = e.target.value;\n fetchData();\n });\n }\n \n // Year select change\n const yearSelect = document.querySelector(\"select[name='year']\");\n if (yearSelect) {\n yearSelect.addEventListener('change', (e) => {\n const sortbySelect = document.querySelector(\"select[name='sortby']\");\n if (sortbySelect) {\n sortbySelect.value = \"-\";\n }\n sortby = \"-\";\n year = e.target.value;\n fetchData();\n });\n }\n \n // Sort by select change\n const sortbySelect = document.querySelector(\"select[name='sortby']\");\n if (sortbySelect) {\n sortbySelect.addEventListener('change', (e) => {\n sortby = e.target.value;\n if (sortby !== \"-\") {\n fetchData();\n }\n });\n }\n \n // Ascending/Descending select change\n const ascSelect = document.querySelector(\"select[name='asc']\");\n if (ascSelect) {\n ascSelect.addEventListener('change', (e) => {\n asc = e.target.value;\n fetchData();\n });\n }\n \n // Download button\n const downloadBtn = requireElement('download');\n downloadBtn.addEventListener('click', () => {\n const service = `/api/1/raobs_by_year.txt?station=${encodeURIComponent(station)}`;\n window.location.href = service;\n });\n}\n\nfunction setStationFromToken(token) {\n station = token;\n const stationSelect = document.querySelector(\"select[name='station']\");\n if (stationSelect) {\n stationSelect.value = station;\n }\n}\n\nfunction setYearFromToken(token) {\n year = token;\n const yearSelect = document.querySelector(\"select[name='year']\");\n if (yearSelect) {\n yearSelect.value = year;\n }\n}\n\nfunction setSortbyFromToken(token) {\n sortby = token;\n const sortbySelect = document.querySelector(\"select[name='sortby']\");\n if (sortbySelect) {\n sortbySelect.value = sortby;\n }\n filter_year = false;\n}\n\nfunction setAscFromToken(token) {\n asc = token;\n const ascSelect = document.querySelector(\"select[name='asc']\");\n if (ascSelect) {\n ascSelect.value = asc;\n }\n}\n\nfunction handleSecondToken(token) {\n const yearRegex = /^\\d{4}$/;\n if (yearRegex.test(token)) {\n setYearFromToken(token);\n } else {\n setSortbyFromToken(token);\n }\n}\n\nfunction parseLegacyHashFormat(hash) {\n const tokens = hash.split(\":\");\n if (tokens.length === 0) {return false;}\n \n // Set station\n setStationFromToken(tokens[0]);\n filter_year = true;\n \n // Handle second token (year or sortby)\n if (tokens.length > 1) {\n handleSecondToken(tokens[1]);\n }\n \n // Handle third token (asc)\n if (tokens.length > 2) {\n setAscFromToken(tokens[2]);\n }\n \n return true;\n}\n\nfunction convertLegacyHashToUrlParams() {\n const url = new URL(window.location);\n url.hash = '';\n url.searchParams.set('station', station);\n \n if (sortby !== \"-\") {\n url.searchParams.set('sortby', sortby);\n url.searchParams.set('asc', asc);\n } else if (filter_year) {\n url.searchParams.set('year', year);\n url.searchParams.set('asc', asc);\n }\n \n window.history.replaceState({}, '', url);\n}\n\nfunction parseStationParam(urlParams) {\n if (urlParams.has('station')) {\n setStationFromToken(urlParams.get('station'));\n }\n}\n\nfunction parseYearParam(urlParams) {\n if (urlParams.has('year')) {\n setYearFromToken(urlParams.get('year'));\n filter_year = true;\n }\n}\n\nfunction parseSortbyParam(urlParams) {\n if (urlParams.has('sortby')) {\n setSortbyFromToken(urlParams.get('sortby'));\n }\n}\n\nfunction parseAscParam(urlParams) {\n if (urlParams.has('asc')) {\n setAscFromToken(urlParams.get('asc'));\n }\n}\n\nfunction parseModernUrlParameters(urlParams) {\n parseStationParam(urlParams);\n parseYearParam(urlParams);\n parseSortbyParam(urlParams);\n parseAscParam(urlParams);\n}\n\nfunction parseUrlParameters() {\n const urlParams = new URLSearchParams(window.location.search);\n const hash = window.location.hash.substring(1); // Remove #\n \n // Check for legacy hash format first for backwards compatibility\n if (hash && !urlParams.has('station')) {\n if (parseLegacyHashFormat(hash)) {\n convertLegacyHashToUrlParams();\n return;\n }\n }\n \n // Parse modern URL parameters\n parseModernUrlParameters(urlParams);\n}\n\n// Initialize when DOM is loaded\ndocument.addEventListener('DOMContentLoaded', () => {\n initializeTable();\n setupEventListeners();\n parseUrlParameters();\n fetchData();\n});\n" }, { "path": "htdocs/archive/raob/list.phtml", "content": "title = \"List Sounding Parameters by Year\";\n\n$stationselect = networkselect(\"RAOB\", \"_OAX\");\n$year = date(\"Y\");\n$yearselect = yearSelect(1947, $year);\n$t->headextra = <<\nEOM;\n$t->content = <<\n
      \n
    1. Sounding Archive Mainpage
      2. \n
    2. List Soundings by Year
      3. \n
    \n\n

    This page presents a yearly listing of sounding parameters computed by the\nIEM using Unidata's MetPy.\nPlease use caution when using these parameters directly as they\ncan struggle with GIGO. A JSON Webservice backends this page.

    \n\n
    \n
    \n
    \n
    \n
    \n \n {$stationselect}\n
    \n
    \n \n {$yearselect}\n
    \n
    \n \n \n \n
    \n
    \n
    \n
    \n
    \n\n
    \n \n
    \n\n
    \n
    \n
    \n\nEOM;\n$t->jsextra = <<\nEOM;\n\n$t->render('full.phtml');\n" }, { "path": "htdocs/archive/schema.php", "content": "title = \"Archived Data Schema\";\n\n$url = sprintf(\"%s/archive/data/%s\", $EXTERNAL_BASEURL, gmdate('Y/m/d'));\n$u = sprintf(\"%s\\n\", $url, $url);\n\n$url2 = sprintf(\"https://mtarchive.geol.iastate.edu/%s\", gmdate('Y/m/d'));\n$u2 = sprintf(\"%s\\n\", $url2, $url2);\n\n$t->content = <<\n
      \n
    1. Archive
      2. \n
    2. Data Schema
      3. \n
    \n\n\n

    Archived Data Schema

    \n\n

    The IEM maintains two directly web-accessible trees of archived weather\nproducts. This page provides a crude schema of what products are archived and\nwhere within the directory tree you can find them. The reason there are\ntwo archives is that the products have different funding / support resources\nand legacy.

    \n\n

    The products are generally organized by UTC date, but some of the products\nfound are for the local/Iowa calendar date.

    \n\n
    \nROOT={$u}\n|- base folder full of various images for the date \n|- GIS\n   |- NWS coop obs shapefile and road conditions shapefile per update\n   |- sat\n      |- GOES Conus Satellite imagery TIF\n   |- {akcomp,gucomp,hicomp,prcomp,uscomp}\n      |- NEXRAD mosaics\n   | - hrrr reflectivity imagery\n   | - mrms imagery\n   | - ifc Iowa Flood Center precipitation imagery\n   | - ridge single site NEXRAD RADAR imagery \n|- camera\n   |- Per webcam site 5 minute interval imagery\n|- comprad\n   |- Iowa pre-generated NEXRAD imagery w/ warnings and watches\n|- hunrad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches Alabama\n|- ictrad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches Kansas\n|- lotrad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches Illinois\n| - model\n   |- rtma selected gribs from the RTMA and RTMA-RU (Rapid Update)\n|- raw\n   |- Raw datafiles for the AWOS and RWIS network\n|- srad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches South Dakota\n|- sel[0-10]rad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches for floating\n      watch sectors issued by the Storm Prediction Center\n|- text\n   |- raw Iowa State road condition reports\n   |- noaaport\n      |- Saved raw text products from our NWS NOAAPort feed\n   |- ot\n      |- raw datafiles for some of the sites in the Other Network\n|- usrad\n   |- Pre-generated NEXRAD imagery w/ warnings and watches United States\n|- stage4\n   |- Archive of the NCEP Stage4 Precipitation product in Grib format\n
    \n\n
    \nROOT={$u2}\n|- base folder full of various images for the date\n   | - bufkit :: Archive of BUFKIT data files for a RAP, GFS, NAM, SREF models\n   | - cod :: GOES 16+17 Imagery from College of Dupage\n   | - gempak :: some NWS/NCEP data in GEMPAK format\n   | - grib2 :: limited assortment of NCEP/NWS grib2 products\n   | - mrms :: Grib2 NCEP MRMS products\n   | - text :: some NWS data in text format\n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/c/c.py", "content": "\"\"\"implemented in pylib/iemweb/c/tile.py\"\"\"\n\nfrom iemweb.c.tile import application\n\n__all__ = [\"application\"]\n" }, { "path": "htdocs/c/tile.py", "content": "\"\"\"implemented in pylib/iemweb/c/c.py\"\"\"\n\nfrom iemweb.c.tile import application\n\n__all__ = [\"application\"]\n" }, { "path": "htdocs/cache/tile.py", "content": "\"\"\"implemented in pylib/iemweb/cache/tile.py\"\"\"\n\nfrom iemweb.cache.tile import application\n\n__all__ = [\"application\"]\n" }, { "path": "htdocs/circa2001.phtml", "content": "\n\n\n Iowa Mesonet Development\n \n \n\n\n\n\n\n
    \n The IEM website celebrates its 10th anniversary today! Here is how the homepage looked on\n 17 June 2001. Thank you for visiting the website and support of our project.\n All of the links on the page take you to the current homepage.\n
    \n\n \n \n \n \n\n \n \n \n\n \n\n \n \n\n \n \n\n\n\n\n \n \n\n \n \n \n\n \n \n \n\n
    \n\n \n\n
    \n \n Department of Agronomy & Iowa State\n University\n \n
    \n
    \n\n \n \n \n \n \n
    \n\n \n \n \n \n
    \n Feature:
    \n \n\n
    14 Jun 2001:
    \n Powerful storms move into Iowa! Check out the radar.\n\n\n
    \n\n
    \n \n\n\n\n \n\n\n \n \n \n\n \n \n \n \n \n \n\n \n \n \n\n \n \n \n \n \n \n\n \n \n \n\n \n \n \n\n

    \n Cooperating Members:\n
    \n NWS Des Moines\n
    IaDOT RWIS\n
    ISU Agclimate Network\n

    \n

    Contact Information:\n

    \n Dennis Todey
    \n     (dptodey@iastate.edu)\n\n

    Daryl Herzmann
    \n     (akrherz@iastate.edu)\n


    \n \n
    \n\n\n     		\n\n \n \n \n \n
    \n\n\n\n

    This site is a temporary test bed for Iowa mesonet products.\n\n

    \n\n\n\n \n\n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n\n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n\n\n \n \n \n \n\n \n\n \n \n \n\n \n \n \n \n \n\n \n \n \n\n \n\n \n \n \n\n \n\n \n \n \n\n \n\n \n \n \n\n\n\n \n \n \n \n\n \n\n \n \n \n\n \n \n \n \n \n\n \n \n \n \n\n\n \n\n \n \n \n\n
    \n Current Data:\n \n 17 Jun 2001 15 UTC\n

    		Iowa DOT RWIS data with ASOS/AWOS data. [ Current ]
    ASOS/AWOS data plotted by itself. [ Current ]\n   48 / 49 Reporting\n
    RWIS data plotted by itself. [ Current ]\n   42 / 49 Reporting\n
    Today's total precip. [ASOS] Plot\n
    Hourly Mesonet + DMX NEXRAD Image\n
    20 Minute Mesonet + DMX NEXRAD Image   |  \n Loop\n
     
    \n Comparison Plots:\n
     Temperatures [RWIS vs ASOS].\n Plot |\n Contour\n
    Dew Points [RWIS vs ASOS].\n Plot |\n Contour\n
    Meteograms [RWIS vs ASOS].\n Cedar Rapids |\n Council Bluffs |\n Des Moines\n
     
    \n Climatology:\n
     High/Low Temperatures [ASOS/AWOS/RWIS].\n [ Yesterday ]\n
          Selected Areas\n ( Cedar Rapids )\n ( Council Bluffs )\n ( Des Moines )\n
    Total Precipitation [ASOS].\n [ Yesterday ]\n [ Ending 00Z ]\n [ Ending 12Z ]\n
    Growing Degree Days (base=50) [ASOS/AWOS]\n Plot | Contour\n
    Growing Degree Days (base=50) [RWIS]\n Plot\n
     
    \n Current Data Files:\n
     ASOS/AWOS.\n GEMPAK\n
    RWIS Data.\n RAW CDF | GEMPAK\n
    Combined Mesonet.\n GEMPAK\n
    \n\n

    \n\n

    \n | \n Homepage\n | \n Info\n | \n Docs\n | \n\n

    \n © 2001: Iowa Environmental Mesonet
    \n Iowa State University\n\n
    \n\n\n\n" }, { "path": "htdocs/clientaccesspolicy.xml", "content": " \n \n \n \n \n \n\n \n \n \n \n \n \n" }, { "path": "htdocs/climate/index.phtml", "content": "title = \"Climatology\";\n\n$t->content = <<Climatological Products\n\n
    \n

    Climatology provides information on what you may expect for various \nvariables and durations. The IEM Climatology section is organized by\ndifferent periods of time (see second row of links in the banner).\n\n

    The \nClimodat application provides pre-generated reports\nof Iowa's climate based on the most popular requests we get from the \ngeneral public. You should check out that page first, it may have what \nyou need.\n

    \n\n

    Most Popular Products\n

    \n\n

    Iowa's Earliest Snowfall on Record\n
    There is no one exact or official answer to this question. In\nthe modern era, September 25th 1942 could be considered as the earliest \ndate in the fall of accumulating snowfall. Up to 4 inches fell \nthat day with nearly all of the state seeing something.\n\n
     
    However, there was an earlier event back on September 16, 1881 when snow\naccumulated over about the western one-half of Iowa and 4 to 6 inches was\nreported between Avoca and Stuart in west central Iowa.\n\n
     
    There were reports of a few flakes on September 6, 1929 \nnear Alton about 9 a.m.\n\n

    \n\n

    Other Resources

    \n\n

    The Iowa State Climatologist's page has a number of products from the official source of \nclimate data in the state.\n\n

    The National Climatic Data Center\nis the online archive for climate information from Iowa\nand the world!

    \n\n

    The High Plains Climate Center and\nMidwestern Regional Cimate Center\nhave a number of quality products for Iowa.\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/climate/records.phtml", "content": "title = \"Information\";\n\n$t->content = <<Iowa Weather/Climate Records\n\nThe information on this page is not being updated!\n\n

    Here is a summary of Iowa weather and climate records. The Iowa State \nClimatologist, Dr Justin Glisan, is the source of these records unless \notherwise noted.\n\n

    Air Temperature (All values in Fahrenhit)

    \n\n\n
    \n\n\n\n\n \n\n \n\n
    For Any Day
    Maximum High:Atlantic25 July 1936117
    Logan25 July 1936
    Latest 100FGlenwood28 Sep 1953103
    \n\n    		\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Max High For A Given Month
    Month:Location:Day/YearHigh
    JanuaryKeokuk24 Jan 195073
    FebruarySidney29 Feb 197282
    MarchClarinda25 Mar 190792
    Massena25 Mar 1907
    Glenwood29 Mar 1986
    AprilFort Dodge22 Apr 1980100
    Waterloo22 Apr 1980
    MayInwood30 May 1934111
    JuneDenison10 Jun 1933109
    JulyAtlantic25 Jul 1936117
    Logan25 Jul 1936
    AugustOttumwa8 Aug 1934115
    Keosauqua9 Aug 1934
    SeptemberBedford5 Sep 1913107
    Logan6 Sep 1939
    Glenwood7 Sep 1939
    OctoberMalvern1 Oct 189797
    Ottumwa1 Oct 1897
    Onawa3 Oct 1938
    Knoxville4 Oct 1938
    Forest City5 Oct 1963
    Shenandoah5 Oct 1963
    NovemberGlenwood13 Nov 199985
    DecemberThurman6 Dec 193974
    \n\n    		\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Min Low For A Given Month
    Month:Location:Day/YearLow
    JanuaryWashta12 Jan 1912-47
    FebruaryElkader3 Feb 1996-47
    MarchHampton1 Mar 1962-35
    Winterset1 Mar 1962
    AprilManchester6 Apr 1982-9
    MayWashta2 May 1908 13
    JuneDecorah3 Jun 194627
    JulyLogan9 Jul 189535
    Neola9 Jul 1895
    Elkader7 Jul 1984
    AugustElkader30 Aug 189330
    Mason City30 Aug 1915
    Britt20 Aug 1950
    Sibley20 Aug 1950
    SeptemberSheldon29 Sep 189915
    Sibley29 Sep 1899
    Mason City30 Sep 1899
    OctoberInwood29 Oct 1925-15
    NovemberCresco28 Nov 1887-25
    DecemberWashta29 Dec 1917-40
    \n\n\n\n
    \n\n

    Rainfall Accumulation (All values in inches)

    \n\n\n\n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    For Any Month
    Rank:Location:Month/YearAmount
    1.Red OakJun 196722.18
    2.LeonJul 199320.74
    3.CorydonJul 199320.51
    4.LarrabeeJun 189119.88
    5.AudubonJul 195819.78
    6.BeaconsfieldJul 199319.75
    7.EmersonJun 196719.70
    8.MalvernJun 196719.63
    9.Rathbun DamAug 200719.43
    10.NorwichJul 195819.28
    \n\n    		\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    For A Given Month
    Month:Location:YearAmount
    JanuaryKeokuk19658.58
    FebruaryBrookside18657.00
    MarchMuscatine18528.60
    AprilStrawberry Point195112.52
    MayGrand Meadow190218.04
    JuneRed Oak196722.18
    JulyLeon199320.74
    AugustRathbun Dam200719.43
    SeptemberCorydon192618.57
    OctoberBurlington Airport194115.10
    NovemberHumboldt190911.48
    DecemberKeokuk18738.56
    \n\n
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/climate/week.phtml", "content": "title = \"Climatology Plots for Past 7 Days\";\n\n$t->content = <<Temperature\n\n\n

    Precipitation

    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/climate/year.phtml", "content": "title = \"Climatology by Year\";\n\n$year = get_int404(\"year\", date(\"Y\") - 1);\n$prod = get_int404(\"prod\", 1);\n\n$products = array(\n 1 => array(\n \"name\" => \"Total Precipitation\",\n \"tpl\" => \"/archive/data/%Y/summary/total_precip.png\"\n ),\n 2 => array(\n \"name\" => \"Days with Precipitation\",\n \"tpl\" => \"/archive/data/%Y/summary/precip_days.png\"\n ),\n 20 => array(\n \"name\" => \"Average High Temperature\",\n \"tpl\" => \"/archive/data/%Y/summary/avg_high.png\"\n ),\n 21 => array(\n \"name\" => \"Average Low Temperature\",\n \"tpl\" => \"/archive/data/%Y/summary/avg_low.png\"\n ),\n 22 => array(\n \"name\" => \"Average Temperature\",\n \"tpl\" => \"/archive/data/%Y/summary/avg_temp.png\"\n ),\n\n);\n\n$ts = new DateTime(\"{$year}-01-01\");\n$imgurl = str_replace(\"%Y\", $ts->format(\"Y\"), $products[$prod][\"tpl\"]);\n\n$a = \"\";\nforeach ($products as $key => $ar) {\n $a .= sprintf(\n \"
    \n\n
    \n
    \n\n
    \n\n\n\n\n\n\n\n\n\n\n\n\n
    Select a date:
    Year:Month:Day:
    {$ys}{$ms}{$ds}
    \nSort by: {$sselect}\n
    Warning Types: {$wselect}\n\n
    \n
    \n
    \n
    \n\n

    This application displays an image summary of NWS\nStorm Based Warnings for a\ngiven UTC date (0z to 0z). This summary is based \non an archive the IEM maintains and so is unofficial. Also, prior to\n1 October 2007, these warnings were not official and their shapes may or \nmay not have been considered by the issuing forecaster. This page works for\ndates between 1 Jan 2002 and {$today}.\nAreas are computed and polygons shown using a US National Atlas Equal Area \nprojection (EPSG:9311).

    \n\n

    Related Data Links:\n
    You can download a GIS dataset with these polygons via the\nGIS WWA Download. For convenience,\nhere is a direct shapefile link with the polygons\nyou see below. The summary size statistics page\nprovides an overview of the size of these polygons. The actual image below\nwas generated by Autoplot #203.

    \n\n
    \n
    \n\nEOM;\n$content .= file_get_contents($imap);\n$content .= <<Note: You can click on the polygon to get the \nwarning text, radar, and more!\n\n\n

    \n\n

    Image Legend:
    \n

    \nThe storm based warning is drawn with red meaning Tornado and yellow \nmeaning Severe Thunderstorm. \"422 km^2\" is the size of the polygon, \"73%\" \nis the reduction in size of the warning versus the county based warning.\n\"BMX.TO.84.2252\" indicates the Forecast Office, warning type, event ID \nnumber for the year, and issuance time for the date the image is valid (22:52 UTC).\n
    Red text indicates less than 25% reduction in size\n
    Green text indicates greater than 75% reduction in size\nEOM;\n$t->content = $content;\n$t->render('single.phtml');\n" }, { "path": "htdocs/cow/top10.phtml", "content": "table[\"ALL\"] = array(\"name\" => \" --- All ---- \", \"id\" => \"ALL\", \"archive_begin\" => null);\n$vtec_phenomena = $reference[\"vtec_phenomena\"];\n$vtec_significance = $reference[\"vtec_significance\"];\n$postgis = iemdb('postgis');\n\n$wfo = get_str404(\"wfo\", 'ALL', 4);\n$limit = isset($_GET[\"limit\"]) ? xssafe($_GET[\"limit\"]) : 'TOSV';\n$tlimit = isset($_GET[\"tlimit\"]) ? xssafe($_GET[\"tlimit\"]) : '2007';\n$lstring = \"'SV','TO'\";\nif ($limit == \"TO\") {\n $lstring = \"'TO'\";\n} else if ($limit == 'SV') {\n $lstring = \"'SV'\";\n} else if ($limit == 'FF') {\n $lstring = \"'FF'\";\n} else if ($limit == 'MA') {\n $lstring = \"'MA'\";\n} else if ($limit == 'SQ') {\n $lstring = \"'SQ'\";\n}\n\n$tstring = '1980-01-01';\nif ($tlimit == '2007') {\n $tstring = '2007-10-01';\n} else if ($tlimit == '2011') {\n $tstring = '2011-01-01';\n}\n$wlimit = \"and wfo = $1\";\nif ($wfo == 'ALL') {\n $wlimit = \"and 'ALL' = $1\";\n}\n\npg_query($postgis, \"SET TIME ZONE 'UTC'\");\n$stname_asc = iem_pg_prepare(\n $postgis,\n \"select round((ST_AREA(ST_Transform(geom,9311)) / 1000000.0)::numeric,2) as area,\n eventid, date(issue), phenomena, significance, wfo, vtec_year from sbw\nWHERE status = 'NEW' and phenomena in ($lstring) $wlimit and\nsignificance = 'W' and issue > '$tstring' and ST_Area(geom) > 0 ORDER by area ASC LIMIT 10\");\n$stname_desc = iem_pg_prepare($postgis, \"select round((ST_AREA(ST_Transform(geom,9311)) / 1000000.0)::numeric,2) as area,\neventid, date(issue), phenomena, significance, wfo, vtec_year from sbw\nWHERE status = 'NEW' and phenomena in ($lstring) $wlimit and\nsignificance = 'W' and issue > '$tstring' ORDER by area DESC LIMIT 10\");\n\n$t->title = \"NWS SVR/TOR Storm Based Warnings by Size\";\n\n$extra = array(\"ALL\" => array(\"name\" => \"--- ALL Forecast Offices ---\", \"id\" => \"ALL\", \"archive_begin\" => null));\n$sselect = networkSelect(\"WFO\", $wfo, $extra, \"wfo\");\n\n$ar = array(\n \"TOSV\" => \"Tornado + Severe Thunderstorm\",\n \"TO\" => \"Tornado Only\",\n \"SV\" => \"Severe Thunderstorm Only\",\n \"FF\" => \"Flash Flood Only\",\n \"MA\" => \"Marine Only\",\n \"SQ\" => \"Snow Squall\",\n);\n\n$lselect = make_select(\"limit\", $limit, $ar);\n\n$ar = array(\n \"all\" => \"All Available\",\n \"2007\" => \"After 1 Oct 2007\",\n \"2011\" => \"After 1 Jan 2011\"\n);\n$tselect = make_select(\"tlimit\", $tlimit, $ar);\n\n$ltable = \"\";\n$rs = pg_execute($postgis, $stname_desc, array(unrectify_wfo($wfo)));\nwhile ($row = pg_fetch_assoc($rs)) {\n\n $url = sprintf(\n \"/vtec/?year=%s&wfo=%s&phenomena=%s&significance=%s&eventid=%s\",\n $row[\"vtec_year\"],\n rectify_wfo($row['wfo']),\n $row[\"phenomena\"],\n $row['significance'],\n $row[\"eventid\"]\n );\n $ltable .= sprintf(\n \"%s%.0f%s%s %s %s\\n\",\n $row['date'],\n $row['area'],\n $row['wfo'],\n $url,\n $vtec_phenomena[$row['phenomena']],\n $vtec_significance[$row[\"significance\"]],\n $row['eventid']\n );\n}\n\n$btable = \"\";\n$rs = pg_execute($postgis, $stname_asc, array(unrectify_wfo($wfo)));\nwhile ($row = pg_fetch_assoc($rs)) {\n $url = sprintf(\n \"/vtec/?year=%s&wfo=%s&phenomena=%s&significance=%s&eventid=%s\",\n $row[\"vtec_year\"],\n rectify_wfo($row['wfo']),\n $row[\"phenomena\"],\n $row['significance'],\n $row[\"eventid\"]\n );\n $btable .= sprintf(\n \"%s%.2f%s%s %s %s\\n\",\n $row['date'],\n $row['area'],\n $row[\"wfo\"],\n $url,\n $vtec_phenomena[$row['phenomena']],\n $vtec_significance[$row[\"significance\"]],\n $row['eventid']\n );\n}\n\n$t->content = <<\n
      \n
    1. Severe Weather Mainpage
      2. \n
    2. Top 10 Warnings by size
      3. \n
    \n\n\n

    Top 10 NWS WFO Storm Based Warnings by Size

    \n\n

    This application prints out a listing of the top 10 largest and smallest\nstorm based warnings by Weather Forecast Office (WFO). You can click the\nEvent ID to get more information on that warning. This page defaults to show the\nlargest and smallest warnings from any WFO. Storm Based Warnings did not become\noperational until 1 Oct 2007, so warning polygons prior to that date were only\nexperimental at best. The areas shown are computed using\nEPSG:9311 (US National Atlas Equal Area).

    \n\n
    Please be patient for page to load...
    \n\n
    \n
    \n
    \n \n {$sselect}\n
    \n
    \n \n {$lselect}\n
    \n
    \n \n {$tselect}\n
    \n
    \n \n
    \n
    \n
    \n\n\n

    Top 10 Largest for WFO: {$wfo}

    \n\n \n \n \n \n \n \n \n \n \n {$ltable}\n \n
    Date IssuedSize (sq km)WFOPhenomena
    \n\n\n

    Top 10 Smallest for WFO: {$wfo}

    \n\n \n \n \n \n \n \n \n \n \n {$btable}\n \n
    Date IssuedSize (sq km)WFOPhenomena
    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/crossdomain.xml", "content": "\n\n\n\n" }, { "path": "htdocs/css/iastate-iem.css", "content": "@charset \"UTF-8\";\n/*\n * Iowa Environmental Mesonet CSS\n * Simplified navigation styles for Bootstrap 5\n */\n\n/* === Utility Classes === */\n.navbar-transition { transition: all 0.5s ease; }\n.navbar-text-white { color: #fff !important; }\n.navbar-text-shadow { text-shadow: 0 1px 2px rgba(0, 0, 0, 0.3); }\n\nheader {\n display: block;\n}\n/* === Global === */\nbody {\n font-family: \"Nimbus Sans\", \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n font-size: 16px;\n line-height: 1.5;\n -webkit-font-smoothing: antialiased;\n -moz-osx-font-smoothing: grayscale;\n}\n\n#loading {\n display: none;\n}\n\nthead.sticky {\n position: sticky;\n top: 0;\n background: #FFF;\n z-index: 10;\n}\n\n/* Fix for dark tables with sticky headers */\nthead.sticky.table-dark {\n background: #212529;\n}\n\n.table-responsive thead.sticky {\n position: sticky;\n top: 0;\n z-index: 10;\n}\n\n/* === Header === */\n/* === Navs === */\n#navs {\n background: #fff;\n}\n\n/* navbar collapse breakpoint */\n@media (max-width: 991px) {\n .navbar-nav {\n float: none !important;\n }\n\n .navbar-toggler {\n display: block;\n }\n\n .navbar-collapse {\n border-top: 0;\n box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n }\n\n .fixed-top {\n top: 0;\n border-width: 0 0 1px;\n }\n\n .navbar-nav {\n float: none !important;\n margin-top: 0;\n margin-bottom: 0;\n }\n\n .navbar-nav > li {\n float: none;\n }\n\n .collapse.show {\n display: block !important;\n }\n}\n\n/* === navbar === */\n.navbar {\n border: none;\n}\n\n.navbar a,\n.navbar a:hover,\n.navbar a:focus {\n text-decoration: none;\n}\n\n.navbar label {\n font-weight: 400;\n margin-bottom: 0;\n}\n\n/* Legacy layout rules removed - no longer used */\n/* Unused form and text styles removed */\n\n/* --- navbar-nav --- */\n.navbar-nav > li > a {\n white-space: nowrap;\n}\n.navbar-site-wordmark {\n flex: 1;\n max-width: none;\n float: left;\n}\n\n/* --- navbar-site --- */\n.navbar-site {\n background-color: #c00;\n color: #fff;\n font-size: 16px;\n padding: 8px 0;\n position: relative;\n z-index: 1030;\n}\n\n.navbar-site .container {\n padding: 0 15px;\n}\n\n/* === Mobile navbar layout === */\n/* Simple single row layout for mobile */\n.mobile-navbar-row {\n display: flex;\n align-items: center;\n justify-content: space-between;\n min-height: 40px;\n padding: 8px 0;\n}\n\n.mobile-logo {\n flex: 0 0 auto;\n}\n\n.mobile-logo img {\n height: 30px;\n width: auto;\n}\n\n.mobile-search {\n flex: 1;\n max-width: 200px;\n margin: 0 15px;\n}\n\n.mobile-search .form-control {\n background: rgba(255, 255, 255, 0.9);\n border: none;\n border-radius: 20px;\n font-size: 14px;\n height: 32px;\n padding: 4px 12px;\n color: #333;\n}\n\n.mobile-search .form-control::placeholder {\n color: #666;\n}\n\n.mobile-menu {\n flex: 0 0 auto;\n}\n\n.mobile-menu .navbar-toggler {\n background: none;\n border: 1px solid rgba(255, 255, 255, 0.5);\n border-radius: 4px;\n padding: 8px;\n color: #fff;\n width: 40px;\n height: 40px;\n display: flex;\n align-items: center;\n justify-content: center;\n}\n\n.mobile-menu .navbar-toggler:hover {\n background-color: rgba(255, 255, 255, 0.1);\n border-color: rgba(255, 255, 255, 0.7);\n}\n\n.mobile-menu .navbar-toggler:active,\n.mobile-menu .navbar-toggler:focus {\n outline: none;\n box-shadow: 0 0 0 0.2rem rgba(255, 255, 255, 0.25);\n}\n\n.mobile-menu .navbar-toggler-icon {\n background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 1%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n background-repeat: no-repeat;\n background-position: center;\n background-size: 20px 20px;\n width: 20px;\n height: 20px;\n display: inline-block;\n}\n\n/* Mobile site links */\n.mobile-site-nav {\n flex-direction: column;\n padding: 10px 0;\n border-top: 1px solid rgba(255, 255, 255, 0.2);\n margin-top: 10px;\n}\n\n.mobile-site-nav .nav-item {\n border-bottom: 1px solid rgba(255, 255, 255, 0.1);\n}\n\n.mobile-site-nav .nav-item:last-child {\n border-bottom: none;\n}\n\n.mobile-site-nav .nav-link {\n color: #fff;\n padding: 8px 0;\n font-size: 14px;\n text-transform: uppercase;\n font-weight: 600;\n}\n\n.mobile-site-nav .nav-link:hover {\n color: rgba(255, 255, 255, 0.8);\n background-color: rgba(255, 255, 255, 0.1);\n padding-left: 10px;\n transition: all 0.2s ease;\n}\n\n/* === Desktop navbar layout === */\n/* Clean organized layout for desktop */\n.desktop-navbar-row {\n display: flex;\n align-items: center;\n justify-content: space-between;\n min-height: 55px;\n padding: 5px 0;\n}\n\n.desktop-wordmark {\n flex: 0 0 auto;\n max-width: 50%;\n}\n\n.desktop-wordmark .wordmark-unit {\n color: #fff;\n text-decoration: none;\n display: block;\n}\n\n.desktop-wordmark .wordmark-isu {\n color: transparent;\n background-image: url(\"/vendor/img/isu.svg\");\n background-repeat: no-repeat;\n background-size: contain;\n background-position: left center;\n text-indent: -9999px;\n overflow: hidden;\n display: inline-block;\n width: 150px;\n margin-right: 15px;\n vertical-align: middle;\n}\n\n.desktop-wordmark .wordmark-unit-title {\n color: #fff;\n font-weight: 700;\n font-size: 24px;\n text-shadow: 0 1px 2px rgba(0, 0, 0, 0.3);\n display: inline-block;\n vertical-align: middle;\n}\n\n.desktop-right {\n flex: 0 0 auto;\n display: flex;\n flex-direction: column;\n align-items: flex-end;\n gap: 8px;\n}\n\n.desktop-search .form-control {\n background: rgba(255, 255, 255, 0.9);\n border: 1px solid rgba(255, 255, 255, 0.3);\n border-radius: 4px;\n color: #333;\n width: 280px;\n height: 35px;\n transition: width 0.3s ease;\n}\n\n.desktop-search .form-control:focus {\n background: #fff;\n width: 320px;\n outline: none;\n box-shadow: 0 0 0 2px rgba(255, 255, 255, 0.5);\n}\n\n.desktop-links .nav {\n flex-direction: row;\n gap: 0;\n}\n\n.desktop-links .nav-item {\n margin: 0 8px;\n}\n\n.desktop-links .nav-link {\n color: #fff;\n padding: 4px 8px;\n font-size: 13px;\n text-transform: uppercase;\n font-weight: 600;\n text-decoration: none;\n border-radius: 3px;\n transition: background-color 0.2s ease;\n}\n\n.desktop-links .nav-link:hover {\n background-color: rgba(255, 255, 255, 0.1);\n}\n\n/* === Shared navbar styles === */\n.navbar-site {\n background-color: #c00;\n color: #fff;\n font-size: 16px;\n padding: 0;\n position: relative;\n z-index: 1030;\n -webkit-transition: all 0.5s ease;\n -moz-transition: all 0.5s ease;\n -ms-transition: all 0.5s ease;\n -o-transition: all 0.5s ease;\n transition: all 0.5s ease;\n}\n\n.navbar-site .container {\n padding: 0 15px;\n transition: all 0.5s ease;\n}\n\n.navbar-site a {\n text-decoration: none;\n}\n\n.navbar-site a:hover {\n text-decoration: none;\n}\n\n/* Ensure proper z-index stacking */\n.navbar.navbar-expand-lg {\n position: relative;\n z-index: 1020;\n}\n\n/* === Main navigation navbar === */\n/* Clean layout for the main menu navbar */\n.navbar.navbar-expand-lg {\n background-color: #fff;\n border-bottom: 1px solid #ddd;\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n margin-bottom: 20px;\n width: 100%;\n min-height: 50px;\n align-items: center;\n}\n\n.navbar.navbar-expand-lg .container {\n padding: 0 15px;\n}\n\n/* Desktop IEM logo in main navbar */\n.navbar.navbar-expand-lg .d-none.d-lg-block img {\n height: 50px;\n width: auto;\n max-width: none;\n}\n\n/* Main navigation links */\n.navbar.navbar-expand-lg .nav-link {\n color: #333 !important;\n padding: 10px 10px;\n border-bottom: 3px solid transparent;\n transition: all 0.25s ease;\n}\n\n.navbar.navbar-expand-lg .nav-link:hover,\n.navbar.navbar-expand-lg .nav-link:focus {\n color: #c00 !important;\n border-bottom-color: #c00;\n background-color: rgba(0, 0, 0, 0.05);\n}\n\n.navbar.navbar-expand-lg .nav-item.active .nav-link,\n.navbar.navbar-expand-lg .nav-item .nav-link.active {\n color: #c00 !important;\n border-bottom-color: #c00;\n background-color: rgba(0, 0, 0, 0.05);\n}\n\n/* Mobile layout for main navbar */\n@media (max-width: 991px) {\n /* Show main navbar on mobile when collapse is active */\n .navbar.navbar-expand-lg {\n display: block !important;\n background-color: #fff;\n border-top: 1px solid #ddd;\n margin-top: 0;\n min-height: auto;\n }\n \n /* Hide main navbar content by default */\n .navbar.navbar-expand-lg .navbar-collapse.collapse:not(.show) {\n display: none !important;\n }\n \n /* Show main navbar content when toggled */\n .navbar.navbar-expand-lg .navbar-collapse.collapse.show {\n display: block !important;\n padding: 10px 0;\n }\n \n /* Hide the desktop logo on mobile */\n .navbar.navbar-expand-lg .d-none.d-lg-block {\n display: none !important;\n }\n}\n\n/* Desktop layout for main navbar */\n@media (min-width: 992px) {\n .navbar.navbar-expand-lg .navbar-collapse {\n display: flex !important;\n visibility: visible !important;\n }\n \n .navbar.navbar-expand-lg .navbar-collapse.collapse {\n display: flex !important;\n }\n \n .navbar.navbar-expand-lg #navbar-menu-collapse.collapse {\n display: flex !important;\n }\n}\n\n/* === Breadcrumb === */\ndiv.breadcrumb {\n border-radius: 0;\n background-color: #f5f5f5;\n padding: 8px 15px;\n margin-bottom: 20px;\n}\n\ndiv.breadcrumb span {\n display: inline-block;\n}\n\ndiv.breadcrumb span + span::before {\n content: '›';\n color: #777;\n padding: 0 9px 0 7px;\n font-weight: 600;\n}\n\ndiv.breadcrumb span.active {\n color: #777;\n}\n\n/* === Main === */\nmain {\n background: #fff;\n padding-bottom: 40px;\n}\n\nmain .container {\n transition: all 0.5s ease;\n}\n\nmain .container:hover {\n transition: all 0.5s ease;\n}\n\nmain > .container > form:first-of-type {\n margin-top: 20px;\n}\n\n/* === Footer === */\nfooter {\n background-color: #f3f3f3;\n color: #686868;\n font-size: 14px;\n line-height: 24px;\n padding: 20px 0;\n vertical-align: top;\n width: 100%;\n}\n\nfooter .container {\n transition: all 0.5s ease;\n max-width: 1200px;\n margin: 0 auto;\n padding: 0 15px;\n width: 100%;\n}\n\nfooter .container:hover {\n transition: all 0.5s ease;\n}\n\nfooter section {\n border-bottom: 0;\n margin-top: 20px;\n margin-bottom: 20px;\n padding-bottom: 0;\n}\n\n@media (max-width: 991px) {\n footer section {\n margin-top: 15px;\n margin-bottom: 15px;\n padding-bottom: 15px;\n }\n}\nfooter p {\n line-height: 21px;\n}\n\nfooter ul {\n list-style: none;\n margin: 0;\n padding: 0;\n}\n\nfooter a {\n color: #1f1f1f;\n}\n\nfooter a:active,\nfooter a:focus,\nfooter a:hover {\n color: #1f1f1f;\n text-decoration: underline;\n}\n\nfooter section.contact h1 {\n display: none;\n}\n\nfooter ul.menu {\n margin: 0;\n}\n\nfooter .wordmark-isu {\n fill: #c00;\n width: 180px;\n margin-bottom: 10px;\n}\n\n/* === Buttons === */\n.btn-wrap {\n white-space: normal;\n}\n\n/* === Forms === */\nfieldset {\n background: #f3f3f3;\n border-radius: 5px;\n margin-bottom: 15px;\n padding: 10px;\n}\n\nlegend {\n background: #f3f3f3;\n border-radius: 5px;\n border-width: 0;\n font-size: 1em;\n margin-bottom: 0;\n padding: 0 10px;\n width: auto;\n}\n\n/* input-group */\n.input-group .form-control:not(:first-child):not(:last-child),\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child) {\n border-left: 0;\n}\n\n/* === Pagination === */\n[class^=\"pagination\"] {\n color: #555555;\n display: inline-block;\n margin: 10px;\n vertical-align: middle;\n}\n\n/* === Social === */\n.footer-social ul {\n list-style: none;\n min-height: 84px;\n}\n\n.footer-social li {\n padding: 0;\n margin: 0;\n}\n\n.footer-social ul.unlabeled li {\n display: inline-block;\n width: 42px;\n text-align: center;\n}\n\n@media (max-width: 991px) {\n .footer-social ul.unlabeled li {\n text-align: center;\n }\n}\n.footer-social a {\n display: block;\n height: 42px;\n line-height: 42px;\n margin: 0;\n padding: 0;\n}\n\n.footer-social ul.unlabeled a {\n margin-right: 0;\n}\n\n.footer-social a .fa:before {\n border-radius: 0;\n color: #444;\n display: inline-block;\n width: 42px;\n height: 42px;\n line-height: 42px;\n font-size: 34px;\n font-family: FontAwesome;\n font-weight: normal;\n text-align: center;\n -webkit-transition: all 0.2s ease-in-out;\n -moz-transition: all 0.2s ease-in-out;\n -ms-transition: all 0.2s ease-in-out;\n -o-transition: all 0.2s ease-in-out;\n transition: all 0.2s ease-in-out;\n vertical-align: middle;\n}\n\n.footer-social a:hover .fa:before {\n text-decoration: none;\n}\n\n.footer-social a[href*='facebook.com'] .fa:before {\n content: \"\\f082\";\n}\n\n.footer-social a[href*='facebook.com']:hover .fa:before {\n color: #3b5998;\n}\n\n.footer-social a[href*='twitter.com'] .fa:before {\n content: \"\\f081\";\n}\n\n.footer-social a[href*='twitter.com']:hover .fa:before {\n color: #4099ff;\n}\n\n.footer-social a[href*='instagram.com'] .fa:before {\n content: \"\\f16d\";\n}\n\n.footer-social a[href*='instagram.com']:hover .fa:before {\n background: -webkit-radial-gradient(circle farthest-corner at 35% 90%, #fec564, transparent 50%), -webkit-radial-gradient(circle farthest-corner at 0 140%, #fec564, transparent 50%), -webkit-radial-gradient(ellipse farthest-corner at 0 -25%, #5258cf, transparent 50%), -webkit-radial-gradient(ellipse farthest-corner at 20% -50%, #5258cf, transparent 50%), -webkit-radial-gradient(ellipse farthest-corner at 100% 0, #893dc2, transparent 50%), -webkit-radial-gradient(ellipse farthest-corner at 60% -20%, #893dc2, transparent 50%), -webkit-radial-gradient(ellipse farthest-corner at 100% 100%, #d9317a, transparent), -webkit-linear-gradient(#6559ca, #bc318f 30%, #e33f5f 50%, #f77638 70%, #fec66d 100%);\n background: radial-gradient(circle farthest-corner at 35% 90%, #fec564, transparent 50%), radial-gradient(circle farthest-corner at 0 140%, #fec564, transparent 50%), radial-gradient(ellipse farthest-corner at 0 -25%, #5258cf, transparent 50%), radial-gradient(ellipse farthest-corner at 20% -50%, #5258cf, transparent 50%), radial-gradient(ellipse farthest-corner at 100% 0, #893dc2, transparent 50%), radial-gradient(ellipse farthest-corner at 60% -20%, #893dc2, transparent 50%), radial-gradient(ellipse farthest-corner at 100% 100%, #d9317a, transparent), linear-gradient(#6559ca, #bc318f 30%, #e33f5f 50%, #f77638 70%, #fec66d 100%);\n -webkit-background-clip: text;\n background-clip: text;\n -webkit-text-fill-color: transparent;\n}\n\n.footer-social a[href*='youtube.com'] .fa:before {\n content: \"\\f166\";\n}\n\n.footer-social a[href*='youtube.com']:hover .fa:before {\n color: #e52d27;\n}\n\n.footer-social a[href*='github.com'] .fa:before {\n content: \"\\f092\";\n}\n\n.footer-social a[href*='github.com']:hover .fa:before {\n color: #000000;\n}\n\n.footer-social a[href*='plus.google.com'] .fa:before {\n content: \"\\f0d4\";\n}\n\n.footer-social a[href*='plus.google.com']:hover .fa:before {\n color: #dd4b39;\n}\n\n.footer-social a[href*='linkedin.com'] .fa:before {\n content: \"\\f08c\";\n}\n\n.footer-social a[href*='linkedin.com']:hover .fa:before {\n color: #007bb5;\n}\n\n.footer-social a[href*='pinterest.com'] .fa:before {\n content: \"\\f0d3\";\n}\n\n.footer-social a[href*='pinterest.com']:hover .fa:before {\n color: #cb2027;\n}\n\n.footer-social a[href*='reddit.com'] .fa:before {\n content: \"\\f1a2\";\n}\n\n.footer-social a[href*='reddit.com']:hover .fa:before {\n color: #ff4500;\n}\n\n.footer-social a[href*='snapchat.com'] .fa:before {\n content: \"\\f2ad\";\n}\n\n.footer-social a[href*='snapchat.com']:hover .fa:before {\n color: #fffc00;\n}\n\n.footer-social a[href*='vimeo.com'] .fa:before {\n content: \"\\f194\";\n}\n\n.footer-social a[href*='vimeo.com']:hover .fa:before {\n color: #1ab7ea;\n}\n\n.footer-social a[href*='wordpress'] .fa:before {\n content: \"\\f19a\";\n}\n\n.footer-social a[href*='wordpress']:hover .fa:before {\n color: #21759b;\n}\n\n.footer-social a[href*='tumblr.com'] .fa:before {\n content: \"\\f174\";\n}\n\n.footer-social a[href*='tumblr.com']:hover .fa:before {\n color: #32506d;\n}\n\n.footer-social a[href*='twitch.tv'] .fa:before {\n content: \"\\f1e8\";\n font-size: 30px;\n}\n\n.footer-social a[href*='twitch.tv']:hover .fa:before {\n color: #6441A5;\n}\n\n.footer-social a[href*='vine.co'] .fa:before {\n content: \"\\f1ca\";\n font-size: 30px;\n}\n\n.footer-social a[href*='vine.co']:hover .fa:before {\n color: #00b488;\n}\n\n.footer-social a[href*='rss'] .fa:before {\n content: \"\\f143\";\n}\n\n.footer-social a[href*='rss']:hover .fa:before {\n color: #f26522;\n}\n\n/* === Typeahead === */\n.tt-hint {\n color: #999;\n}\n\n.tt-menu {\n width: 100%;\n color: #fff;\n background-color: #666;\n}\n\n.tt-suggestion p {\n margin: 0;\n}\n\n/* === Utility === */\n.overflow-scroll {\n overflow-x: auto;\n -webkit-overflow-scrolling: touch;\n}\n\n/* === Legacy === */\n.wd-Grid-cell, .grid, .wd-Grid-cell--1, .wd-Grid-cell--2, .wd-Grid-cell--3, .wd-Grid-cell--4, .wd-Grid-cell--1of1, .g-1, .g-1-1, .wd-Grid-cell--1of2, .g-1-2, .wd-Grid-cell--1of3, .g-1-3, .wd-Grid-cell--2of3, .g-2-3, .wd-Grid-cell--1of4, .g-1-4, .wd-Grid-cell--3of4, .g-3-4, .wd-Grid-cell--1of5, .g-1-5, .wd-Grid-cell--2of5, .g-2-5, .wd-Grid-cell--3of5, .g-3-5, .wd-Grid-cell--4of5, .g-4-5 {\n font-size: 16px;\n line-height: 1.5;\n}\n\n/* Bootstrap 5 Migration: Dropdown toggle arrow fixes */\n/* Override the existing FontAwesome dropdown arrows with Bootstrap 5 style */\n.dropdown-toggle::after {\n display: inline-block;\n margin-left: 0.255em;\n vertical-align: 0.255em;\n content: \"\";\n border-top: 0.3em solid;\n border-right: 0.3em solid transparent;\n border-bottom: 0;\n border-left: 0.3em solid transparent;\n font-family: inherit !important; /* Override FontAwesome */\n}\n\n.dropdown-toggle:empty::after {\n margin-left: 0;\n}\n\n/* Ensure dropdown arrows show properly in navigation */\n.nav-link.dropdown-toggle::after {\n display: inline-block;\n margin-left: 0.255em;\n vertical-align: 0.255em;\n content: \"\";\n border-top: 0.3em solid;\n border-right: 0.3em solid transparent;\n border-bottom: 0;\n border-left: 0.3em solid transparent;\n}\n\n/* Fix for navbar dropdown arrows specifically */\n.navbar-nav .dropdown-toggle::after {\n display: inline-block;\n margin-left: 0.255em;\n vertical-align: 0.255em;\n content: \"\";\n border-top: 0.3em solid;\n border-right: 0.3em solid transparent;\n border-bottom: 0;\n border-left: 0.3em solid transparent;\n}\n\n/* Ensure dropdown functionality works properly */\n.dropdown-menu {\n display: none;\n}\n\n.dropdown-menu.show {\n display: block;\n}\n\n/* Fix dropdown item styling for Bootstrap 5 */\n.dropdown-item {\n display: block;\n width: 100%;\n padding: 0.25rem 1rem;\n clear: both;\n font-weight: 400;\n color: #212529;\n text-align: inherit;\n text-decoration: none;\n white-space: nowrap;\n background-color: transparent;\n border: 0;\n}\n\n.dropdown-item:hover,\n.dropdown-item:focus {\n color: #1e2125;\n background-color: #e9ecef;\n}\n\n.dropdown-item.active,\n.dropdown-item:active {\n color: #fff;\n text-decoration: none;\n background-color: #0d6efd;\n}\n\n/* Duplicate rules removed - consolidated above */\n\n/* navbar-caps layout */\n.navbar-site .navbar-caps .navbar-nav {\n display: flex;\n flex-direction: row;\n margin: 0;\n padding: 0;\n list-style: none;\n}\n\n@media only screen and (max-width: 991px) {\n .navbar-site .navbar-caps .navbar-nav {\n flex-direction: column;\n width: 100%;\n }\n}\n\n/* Fix nav-item spacing */\n.navbar-site .navbar-caps .nav-item {\n margin: 0;\n}\n\n.navbar-site .navbar-caps .nav-link {\n display: block;\n padding: 15px 10px;\n color: #fff;\n text-decoration: none;\n font-size: 14px;\n font-weight: 700;\n transition: all 0.25s ease;\n}\n\n.navbar-site .navbar-caps .nav-link:hover,\n.navbar-site .navbar-caps .nav-link:focus {\n background-color: rgba(255, 255, 255, 0.1);\n color: #fff;\n text-decoration: none;\n}\n\n/* --- Bootstrap 5 dropdown positioning fixes --- */\n/* Ensure dropdowns work properly in both navbars */\n.navbar .dropdown-menu {\n position: absolute;\n top: 100%;\n left: 0;\n z-index: 1000;\n display: none;\n min-width: 10rem;\n padding: 0;\n margin: 0;\n font-size: 16px;\n color: #333;\n text-align: left;\n background-color: #e7e7e7;\n background-clip: padding-box;\n border: 1px solid rgba(0, 0, 0, 0.15);\n border-radius: 0;\n}\n\n.navbar .dropdown-menu.show {\n display: block;\n}\n\n/* Fix dropdown items */\n.navbar .dropdown-item {\n display: block;\n width: 100%;\n padding: 10px 20px;\n clear: both;\n font-weight: 400;\n color: #333;\n text-align: inherit;\n text-decoration: none;\n white-space: nowrap;\n background-color: transparent;\n border: 0;\n}\n\n.navbar .dropdown-item:hover,\n.navbar .dropdown-item:focus {\n color: #222;\n background-color: #d7d7d7;\n background-color: rgba(0, 0, 0, 0.05);\n}\n\n.navbar .dropdown-item.active,\n.navbar .dropdown-item:active {\n color: #fff;\n text-decoration: none;\n background-color: #c00;\n}\n\n/* Fix mobile dropdown behavior */\n@media (max-width: 991px) {\n .navbar .dropdown-menu {\n position: static;\n float: none;\n width: auto;\n margin-top: 0;\n background-color: transparent;\n border: 0;\n box-shadow: none;\n }\n \n .navbar .dropdown-item {\n padding-left: 30px;\n }\n}\n\n/* Fix navbar collapse transition */\n.navbar .navbar-collapse {\n transition: height 0.35s ease;\n}\n\n.navbar .navbar-collapse.collapsing {\n transition: height 0.35s ease;\n}\n\n/* Mobile navigation rules consolidated above */\n\n/* Fix button z-index and positioning */\n.navbar-site .navbar-header .navbar-toggler {\n position: relative;\n z-index: 1040;\n background-color: rgba(255, 255, 255, 0.1);\n border: 1px solid rgba(255, 255, 255, 0.3);\n}\n\n/* --- Header text visibility and contrast fixes --- */\n/* Ensure wordmark text is visible and properly contrasted */\n.navbar-site .wordmark-isu {\n color: transparent !important; /* Keeps the background image visible */\n background-image: url(\"/vendor/img/isu.svg\");\n background-repeat: no-repeat;\n background-size: 100%;\n background-position: left top;\n text-indent: -9999px; /* Hide text but keep for accessibility */\n overflow: hidden;\n}\n\n.navbar-site .wordmark-unit-title {\n color: #fff !important;\n text-shadow: 0 1px 2px rgba(0, 0, 0, 0.3);\n font-weight: 900;\n display: block;\n}\n\n/* Fix wordmark link contrast and hover states */\n.navbar-site a.wordmark-unit {\n color: #fff;\n text-decoration: none;\n}\n\n.navbar-site a.wordmark-unit:hover,\n.navbar-site a.wordmark-unit:focus {\n color: #fff;\n text-decoration: none;\n opacity: 0.9;\n}\n\n/* Ensure search input visibility */\n.navbar-site .navbar-site-search .form-control {\n background: rgba(0, 0, 0, 0.15);\n border: 1px solid rgba(255, 255, 255, 0.3);\n color: #fff;\n transition: all 0.3s ease;\n border-radius: 4px;\n}\n\n.navbar-site .navbar-site-search .form-control::placeholder {\n color: rgba(255, 255, 255, 0.7);\n}\n\n.navbar-site .navbar-site-search .form-control:focus {\n background: #fff;\n color: #333;\n border-color: #fff;\n box-shadow: 0 0 0 0.2rem rgba(255, 255, 255, 0.25);\n outline: none;\n}\n\n/* Enhanced search input expansion with visual feedback */\n@media only screen and (min-width: 992px) {\n .navbar-site .navbar-site-search.search-active {\n z-index: 1050;\n }\n \n .navbar-site .navbar-site-search .form-control.expanded {\n transform: scale(1.02);\n box-shadow: 0 0 0 0.2rem rgba(255, 255, 255, 0.25), 0 4px 8px rgba(0, 0, 0, 0.1);\n }\n}\n\n/* Fix navigation links visibility */\n.navbar-site .navbar-caps .nav-link {\n color: #fff !important;\n text-shadow: 0 1px 1px rgba(0, 0, 0, 0.2);\n}\n\n.navbar-site .navbar-caps .nav-link:hover,\n.navbar-site .navbar-caps .nav-link:focus {\n color: #fff !important;\n background-color: rgba(255, 255, 255, 0.1);\n text-decoration: none;\n}\n\n/* Ensure button icon visibility */\n.navbar-site .navbar-header .navbar-toggler-bar {\n background-color: #fff !important;\n opacity: 1;\n}\n\n.navbar-site .navbar-header .navbar-toggler-label {\n color: #fff !important;\n opacity: 1;\n}\n\n/* Fix any potential overflow issues */\n.navbar-site {\n overflow: visible;\n}\n\n.navbar-site .container {\n overflow: visible;\n}\n\n/* Fix logo visibility in main navbar */\n.navbar.navbar-expand-lg .d-none.d-md-block img {\n height: 50px;\n width: auto;\n max-width: none;\n}\n\n/* --- Bootstrap Icons integration --- */\n/* Ensure Bootstrap Icons display properly with existing styles */\n.bi {\n display: inline-block;\n vertical-align: -0.125em;\n fill: currentColor;\n}\n\n/* Accessibility utility: visually hidden but focusable (shared) */\n.visually-hidden-focusable:not(:focus):not(:active) {\n position: absolute !important;\n width: 1px !important;\n height: 1px !important;\n padding: 0 !important;\n margin: -1px !important;\n overflow: hidden !important;\n clip: rect(0 0 0 0) !important;\n white-space: nowrap !important;\n border: 0 !important;\n}\n.visually-hidden-focusable:focus, .visually-hidden-focusable:active {\n position: static !important;\n width: auto !important;\n height: auto !important;\n margin: 0 !important;\n overflow: visible !important;\n clip: auto !important;\n white-space: normal !important;\n}\n\n:focus-visible {\n outline: 2px solid #0d6efd;\n outline-offset: 2px;\n}\n\n/* Fix Bootstrap Icons in navigation */\n.nav-link .bi {\n font-size: 1.1em;\n margin-right: 0.25em;\n}\n\n.navbar-nav .nav-link .bi {\n color: inherit;\n}\n\n/* Fix Bootstrap Icons in footer links */\nfooter a .bi {\n margin-right: 0.5em;\n font-size: 0.9em;\n}\n\n/* === Bootstrap 5 Collapse Functionality === */\n/* Ensure collapsible elements work properly */\n.collapse:not(.show) {\n display: none;\n}\n\n.collapse.show {\n display: block;\n}\n\n.collapsing {\n position: relative;\n height: 0;\n overflow: hidden;\n transition: height 0.35s ease;\n}\n\n/* Mobile navbar collapse behavior */\n#mobile-site-links.collapse:not(.show) {\n display: none;\n}\n\n#mobile-site-links.collapse.show {\n display: block;\n animation: fadeInDown 0.3s ease;\n}\n\n#navbar-menu-collapse.collapse:not(.show) {\n display: none;\n}\n\n#navbar-menu-collapse.collapse.show {\n display: block;\n}\n\n/* Main navbar responsive behavior */\n@media (max-width: 991px) {\n .navbar.navbar-expand-lg #navbar-menu-collapse.collapse:not(.show) {\n display: none;\n }\n \n .navbar.navbar-expand-lg #navbar-menu-collapse.collapse.show {\n display: block;\n background-color: #fff;\n border-top: 1px solid #ddd;\n margin-top: 0;\n padding: 10px 0;\n }\n}\n\n@media (min-width: 992px) {\n .navbar.navbar-expand-lg #navbar-menu-collapse.collapse {\n display: flex !important;\n }\n}\n\n/* Smooth animations */\n@keyframes fadeInDown {\n from {\n opacity: 0;\n transform: translateY(-10px);\n }\n to {\n opacity: 1;\n transform: translateY(0);\n }\n}\n" }, { "path": "htdocs/css/iemss.css", "content": "/* IEM Station Selector (iemss) Styling - Bootstrap 5 Enhanced */\n\n/* Main container improvements */\n.iemss-container {\n box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n border: 1px solid rgba(0, 0, 0, 0.125);\n border-radius: 0.375rem;\n}\n\n/* Card header styling */\n.iemss-container .card-header {\n background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);\n border-bottom: 1px solid #dee2e6;\n padding: 1rem 1.25rem;\n}\n\n.iemss-container .card-title {\n margin-bottom: 0;\n font-weight: 600;\n color: #495057;\n}\n\n/* Station selection lists */\n#stations_in,\n#stations_out {\n min-height: 200px;\n height: 200px;\n border: 1px solid #ced4da;\n border-radius: 0.375rem;\n font-size: 0.875rem;\n transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n\n#stations_in:focus,\n#stations_out:focus {\n border-color: #86b7fe;\n outline: 0;\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n/* Selected options styling */\n#stations_in option:checked,\n#stations_out option:checked {\n background: linear-gradient(135deg, #0d6efd 0%, #0a58ca 100%);\n color: white;\n}\n\n#stations_in option:hover,\n#stations_out option:hover {\n background-color: #f8f9fa;\n}\n\n#stationfilter:focus {\n border-color: #86b7fe;\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n/* Button group improvements */\n.iemss-button-group {\n display: flex;\n flex-wrap: wrap;\n gap: 0.5rem;\n margin-top: 0.5rem;\n}\n\n/* Top row with sort dropdown and filter input */\n.iemss-container .d-flex.gap-2 {\n align-items: center;\n margin-bottom: 0.5rem;\n min-height: 38px; /* Match Bootstrap form control height */\n}\n\n.iemss-container .d-flex.gap-2 #stationfilter {\n min-width: 150px;\n}\n\n/* Right side label container to match left side height */\n.iemss-container .d-flex.align-items-center {\n margin-bottom: 0.5rem;\n}\n\n/* Labels styling */\n.iemss-container label {\n font-weight: 600;\n color: #495057;\n margin-bottom: 0.5rem;\n}\n\n.iemss-button-group .btn {\n border-radius: 0.375rem;\n font-weight: 500;\n transition: all 0.15s ease-in-out;\n box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);\n}\n\n.iemss-button-group .btn:hover {\n transform: translateY(-1px);\n box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);\n}\n\n.iemss-button-group .btn:active {\n transform: translateY(0);\n}\n\n/* Dropdown menu improvements */\n.iemss-container .dropdown-menu {\n border-radius: 0.375rem;\n box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);\n border: 1px solid rgba(0, 0, 0, 0.15);\n}\n\n.iemss-container .dropdown-item {\n padding: 0.5rem 1rem;\n transition: background-color 0.15s ease-in-out;\n}\n\n.iemss-container .dropdown-item:hover {\n background-color: #f8f9fa;\n}\n\n/* Map container styling */\n#map {\n border-radius: 0.375rem;\n border: 1px solid #dee2e6;\n box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);\n overflow: hidden;\n width: 100%;\n height: 400px;\n}\n\n/* Hidden elements */\n.iemss-hidden {\n display: none;\n}\n\n/* Popup styling */\n#popup {\n width: 250px;\n}\n\n#popover-content {\n display: none;\n}\n\n/* Map legend styling */\n.iemss-map-legend {\n margin-top: 0.5rem;\n font-size: 0.875rem;\n color: #6c757d;\n display: flex;\n align-items: center;\n gap: 1rem;\n}\n\n.iemss-legend-item {\n display: flex;\n align-items: center;\n gap: 0.25rem;\n}\n\n.iemss-legend-dot {\n width: 8px;\n height: 8px;\n border-radius: 50%;\n display: inline-block;\n}\n\n.iemss-legend-dot.online {\n background-color: #198754;\n}\n\n.iemss-legend-dot.offline {\n background-color: #dc3545;\n}\n\n/* Column spacing improvements */\n.iemss-container .col-sm-6 {\n padding-left: 0.75rem;\n padding-right: 0.75rem;\n}\n\n/* Labels styling */\n/* Moved above to consolidate with top row styling */\n\n/* Station count displays */\n.iemss-station-count {\n margin-top: 0.25rem;\n margin-bottom: 0.5rem;\n font-style: italic;\n display: flex;\n align-items: center;\n}\n\n.iemss-station-count::before {\n content: \"📊\";\n margin-right: 0.25rem;\n font-size: 0.75em;\n}\n\n/* Form inline improvements - no longer needed */\n\n/* Filter input styling */\n#stationfilter {\n border-radius: 0.375rem;\n transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n\n/* Responsive improvements */\n@media (max-width: 576px) {\n .iemss-container .card-header {\n padding: 0.75rem 1rem;\n }\n \n .iemss-container .card-header .btn {\n margin-top: 0.5rem;\n }\n \n .iemss-container .col-sm-6 {\n margin-bottom: 1rem;\n padding-left: 0.5rem;\n padding-right: 0.5rem;\n }\n \n #stations_in,\n #stations_out {\n min-height: 150px;\n height: 150px;\n }\n \n #map {\n height: 300px !important;\n }\n \n .iemss-button-group {\n justify-content: center;\n }\n \n .iemss-button-group .btn {\n flex: 1;\n min-width: 120px;\n }\n \n .iemss-map-legend {\n justify-content: center;\n flex-wrap: wrap;\n }\n}\n\n@media (min-width: 768px) {\n /* No special desktop overrides needed for new layout */\n}\n\n/* Popover styling improvements */\n.popover {\n border-radius: 0.375rem;\n box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);\n border: 1px solid rgba(0, 0, 0, 0.15);\n}\n\n.popover-header {\n background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);\n border-bottom: 1px solid #dee2e6;\n font-weight: 600;\n}\n\n.popover-body {\n padding: 0.75rem;\n font-size: 0.875rem;\n}\n\n/* Loading state styling */\n.iemss-loading {\n opacity: 0.7;\n pointer-events: none;\n}\n\n.iemss-loading::after {\n content: '';\n position: absolute;\n top: 50%;\n left: 50%;\n width: 20px;\n height: 20px;\n margin: -10px 0 0 -10px;\n border: 2px solid #f3f3f3;\n border-top: 2px solid #0d6efd;\n border-radius: 50%;\n animation: iemss-spin 1s linear infinite;\n}\n\n@keyframes iemss-spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n}\n\n/* Accessibility improvements */\n.iemss-container .btn:focus {\n box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n\n.iemss-container .dropdown-item:focus {\n background-color: #e9ecef;\n outline: 2px solid #0d6efd;\n outline-offset: -2px;\n}\n\n/* High contrast mode support */\n@media (prefers-contrast: high) {\n #stations_in,\n #stations_out {\n border-width: 2px;\n }\n \n .iemss-container .btn {\n border-width: 2px;\n }\n \n #map {\n border-width: 2px;\n }\n}\n\n/* Reduced motion support */\n@media (prefers-reduced-motion: reduce) {\n .iemss-button-group .btn {\n transition: none;\n }\n \n .iemss-button-group .btn:hover {\n transform: none;\n }\n \n #stationfilter {\n transition: none;\n }\n \n .iemss-loading::after {\n animation: none;\n }\n}\n" }, { "path": "htdocs/css/main.css", "content": "body {\n background: #fff url(../images/hbar.gif) repeat-x;\n margin: 0px;\n font-family: arial, sans-serif;\n}\n\n#menuwrapper {\n min-width: 850px;\n position: absolute;\n top: 75px;\n left: 10px;\n}\n\n.clearit {\n clear: both;\n height: 0;\n line-height: 0.0;\n font-size: 0;\n}\n\n#p7menubar,\n#p7menubar ul {\n padding: 0;\n margin: 0;\n list-style: none;\n font-family: Arial, Helvetica, sans-serif;\n}\n\n#p7menubar a {\n display: block;\n text-decoration: none;\n padding: 5px 10px 5px 10px;\n border-right: 3px solid #eee;\n font-size: .85em;\n color: #0000FF;\n}\n\n#p7menubar a.trigger {\n padding: 5px 16px 5px 10px;\n background-image: url(../images/p7PM_dark_south.gif);\n background-repeat: no-repeat;\n background-position: right center;\n}\n\n#p7menubar a.atrigger {\n padding: 4px 16px 5px 10px;\n border-top: 1px solid #000;\n border-right: 1px solid #000;\n border-left: 1px solid #000;\n background-color: #fff;\n background-image: url(../images/p7PM_dark_south.gif);\n background-repeat: no-repeat;\n background-position: right center;\n}\n\n#p7menubar li {\n float: left;\n width: 9em;\n}\n\n#p7menubar li ul,\n#p7menubar ul li {\n width: 12em;\n}\n\n#p7menubar ul li a {\n color: #FFFFFF;\n border-right: 0;\n padding: 3px 12px 3px 16px;\n}\n\n#p7menubar li ul {\n position: absolute;\n z-index: 10;\n display: none;\n border-right: 1px solid #333333;\n border-bottom: 1px solid #333333;\n}\n\n#p7menubar li:hover a,\n#p7menubar a:focus,\n#p7menubar a:active,\n#p7menubar li.p7hvr a {\n color: #000000;\n background-color: #78dbed;\n}\n\n#p7menubar li:hover ul,\n#p7menubar li.p7hvr ul {\n display: block;\n}\n\n#p7menubar li:hover ul a,\n#p7menubar li.p7hvr ul a span {\n color: #000000;\n background-color: #f3f3f3;\n}\n\n#p7menubar li:hover ul .alink {\n background-color: #c4f6ff;\n}\n\n#p7menubar ul a:hover {\n background-color: #606060 !important;\n color: #FFFFFF !important;\n}\n\n#p7menubar li {\n width: auto;\n}\n\n#iem-main {\n min-width: 800px;\n /* border: #000 solid; */\n}\n\n#iem-mainwide {\n /* width: 800px; */\n min-width: 800px;\n border: 1px #000 solid;\n background-color: #FEFEFE;\n}\n\n#iem-image {\n width: 100%;\n}\n\n#iem-header {\n background: #fff url(../images/hbar.gif) repeat-x;\n height: 100px;\n width: 100%;\n}\n\n#iem-header:after {\n content: \".\";\n display: block;\n height: 0;\n overflow: hidden;\n clear: both;\n visibility: hidden;\n}\n\n/* Holly Hack Targets IE Win only \\*/\n* html #iem-header {\n height: 130px;\n}\n\n/* End Holly Hack */\n\n#iem-header-title {\n position: absolute;\n top: 26px;\n left: 90px;\n width: 500px;\n}\n\n#iem-header-title h3 {\n margin: 0px;\n padding: 0px;\n color: #f6f623;\n font-size: 1em;\n}\n\n#iem-header-title h4 {\n margin: 0px;\n color: #f6f623;\n font-size: 1em;\n}\n\n#iem-header-logo {\n position: absolute;\n left: 5px;\n top: 5px;\n margin-right: 5px;\n}\n\n#iem-header-logo img {\n border: 0px;\n background-color: transparent;\n}\n\n#iem-header-items {\n position: absolute;\n top: 30px;\n right: 10px;\n width: 250px;\n text-align: right;\n font-size: 0.8em;\n}\n\n#iem-header-items {\n color: #fff;\n font-weight: bold;\n}\n\n#iem-header-items a {\n color: #fff;\n font-weight: bold;\n}\n\n#iemwebring {\n font-size: 0.8em;\n padding: .1em 0;\n text-align: center;\n float: right;\n margin-top: 3px;\n}\n\n#iemwebring a {\n padding: 0 .2em 0 .4em;\n text-decoration: none;\n border: none;\n}\n\n#iemwebring li {\n list-style: none;\n display: inline;\n}\n\n.horiz-list li {\n list-style: none;\n display: inline;\n margin-right: 10px;\n}\n\n#iem-content {\n clear: left;\n background: #fff;\n padding: 5px;\n}\n\n#left {\n width: 570px;\n}\n\n#right {\n width: 330px;\n margin-left: 5px;\n border-left: 1px solid;\n}\n\nul.iem-list {\n margin-left: 17px;\n margin-top: 3px;\n padding-left: 0px;\n padding-top: 0px;\n}\n\n#iem-section {\n padding: 0px;\n height: 40px;\n}\n\n#iem-section th {\n border-left: 1px solid;\n padding: 5px\n}\n\n#iem-section a:hover {\n border-bottom: 1px #000000 dashed;\n}\n\n#iem-content-feature {\n border: 1px #000 dashed;\n padding: 2px;\n width: 490px;\n}\n\n#iem-content-feature-img {\n float: right;\n border: 1px #000 solid;\n font-size: 0.8em;\n}\n\n#iem-content-feature-img img {\n padding: 2px;\n border: 0px;\n}\n\n.iem-news-descript {\n padding-left: 10px;\n font-size: smaller;\n}\n\n#iem-footer {\n clear: both;\n width: auto;\n font-size: 10pt;\n border-top: 1px #ccc solid;\n padding-left: 5px;\n padding-bottom: 2px;\n}\n\n#iem_header_logo img {\n border: 0px;\n}\n\n.dashboard {\n border: 2px solid #ddd;\n background: #eee;\n}\n\n.dashboard li {\n list-style: none;\n display: inline;\n float: left;\n margin-left: 20px;\n}\n\n.dashboard a {\n text-decoration: none;\n}\n\n.dashboard img {\n border: 0px;\n padding-left: 15px;\n padding-bottom: 5px;\n}\n\n.dashboard:after {\n content: \".\";\n display: block;\n height: 0;\n overflow: hidden;\n clear: both;\n visibility: hidden;\n}\n\n.heading {\n border-bottom: 1px solid #CCCCCC;\n color: #336699;\n padding: 4px 0;\n margin: 4px 0;\n}\n\nthead th,\ntfoot td {\n background: #ddd;\n}\n\ntr.ruled {\n background: #9cf;\n}\n\ntable.ruler {\n border: 1px solid #000;\n border-collapse: collapse;\n}\n\nth.ruler,\ntd.ruler {\n border: 1px solid #000;\n border-collapse: collapse;\n padding: 2px;\n}\n\n.ninfo {\n margin-left: 10px;\n padding: 3px;\n border: 1px solid #000;\n background-color: #EEEEEE;\n}\n\n#helpwindow {\n width: 400px;\n display: none;\n padding: 5px;\n border: 1px dashed;\n background-color: #eee;\n}\n\na {\n color: #000099;\n}\n\na:hover {\n color: #999999;\n}\n\n#iem-content a:hover {\n color: #000066;\n}\n\n.even {\n background-color: #CDDFF9;\n}\n\n.odd {\n background-color: #FFFFFF;\n}\n\ntr.ruled {\n background: #99CCFF;\n}\n\n.kelo {\n background: #6699CC;\n}\n\n.kimt {\n background: #00efef;\n}\n\n.tabcommands {\n color: #003366;\n}\n\nthead th,\ntfoot td {\n background: #6699CC;\n}\n\n#helpwindow {\n border-color: #003366;\n}\n\ndiv.iembox {\n background: #D4F4F9;\n border: #004662 1px solid;\n}\n\n/* Generic class for warning messages */\n.warning {\n border: solid 1px #000;\n background: #FCF9CE url(../images/warning.png) 6px 4px no-repeat;\n color: #222222;\n padding-left: 40px;\n padding-top: 10px;\n padding-bottom: 10px;\n text-align: left;\n}\n\n/* http://pixify.com/blog/use-google-plus-to-improve-your-ui/ */\n.buttons {\n float: left;\n padding-bottom: 20px;\n clear: both;\n}\n\na.button {\n color: #6e6e6e;\n font: bold 12px Helvetica, Arial, sans-serif;\n text-decoration: none;\n padding: 7px 12px;\n position: relative;\n display: inline-block;\n text-shadow: 0 1px 0 #fff;\n -webkit-transition: border-color .218s;\n -moz-transition: border .218s;\n -o-transition: border-color .218s;\n transition: border-color .218s;\n background: #f3f3f3;\n background: -webkit-gradient(linear, 0% 40%, 0% 70%, from(#F5F5F5), to(#F1F1F1));\n background: -moz-linear-gradient(linear, 0% 40%, 0% 70%, from(#F5F5F5), to(#F1F1F1));\n border: solid 1px #dcdcdc;\n border-radius: 2px;\n -webkit-border-radius: 2px;\n -moz-border-radius: 2px;\n margin-right: 10px;\n}\n\na.button:hover {\n color: #333;\n border-color: #999;\n -moz-box-shadow: 0 2px 0 rgba(0, 0, 0, 0.2);\n -webkit-box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.15);\n}\n\na.button:active {\n color: #000;\n border-color: #444;\n}\n\na.left {\n -webkit-border-top-right-radius: 0;\n -moz-border-radius-topright: 0;\n border-top-right-radius: 0;\n -webkit-border-bottom-right-radius: 0;\n -moz-border-radius-bottomright: 0;\n border-bottom-right-radius: 0;\n margin: 0;\n}\n\na.middle {\n border-radius: 0;\n -webkit-border-radius: 0;\n -moz-border-radius: 0;\n border-left: solid 1px #f3f3f3;\n margin: 0;\n border-left: solid 1px rgba(255, 255, 255, 0);\n}\n\na.middle:hover,\na.right:hover {\n border-left: solid 1px #999\n}\n\na.right {\n -webkit-border-top-left-radius: 0;\n -moz-border-radius-topleft: 0;\n border-top-left-radius: 0;\n -webkit-border-bottom-left-radius: 0;\n -moz-border-radius-bottomleft: 0;\n border-bottom-left-radius: 0;\n border-left: solid 1px #f3f3f3;\n border-left: solid 1px rgba(255, 255, 255, 0);\n}\n\na.big {\n font-size: 16px;\n padding: 10px 15px;\n}\n\na.supersize {\n font-size: 20px;\n padding: 15px 20px;\n}\n\na.save {\n background: url(sprite.png) 10px 7px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.add {\n background: url(sprite.png) 10px -27px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.delete {\n background: url(sprite.png) 10px -61px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.flag {\n background: url(sprite.png) 10px -96px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.up {\n background: url(sprite.png) 10px -133px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.book {\n background: url(../images/book.png) no-repeat 5px 5px #f3f3f3;\n padding-left: 40px;\n}\n\na.agweather {\n background: url(../images/tractor.png) no-repeat 5px 5px #f3f3f3;\n padding-left: 40px;\n}\n\na.nws {\n background: url(../images/nws.png) no-repeat 5px 5px #f3f3f3;\n padding-left: 40px;\n}\n\na.down {\n background: url(sprite.png) 10px -168px no-repeat #f3f3f3;\n padding-left: 30px;\n}\n\na.save-big {\n background: url(sprite.png) 15px 11px no-repeat #f3f3f3;\n font-size: 16px;\n padding: 10px 15px 10px 35px;\n}\n\na.add-big {\n background: url(sprite.png) 15px -23px no-repeat #f3f3f3;\n font-size: 16px;\n padding: 10px 15px 10px 35px;\n}\n\na.delete-big {\n background: url(sprite.png) 15px -57px no-repeat #f3f3f3;\n font-size: 16px;\n padding: 10px 15px 10px 35px;\n}\n\na.flag-big {\n background: url(sprite.png) 15px -92px no-repeat #f3f3f3;\n font-size: 16px;\n padding: 10px 15px 10px 35px;\n}\n\na.up-big {\n background: url(sprite.png) 15px -128px no-repeat #f3f3f3;\n width: 18px;\n font-size: 16px;\n padding: 10px 15px;\n}\n\na.down-big {\n background: url(sprite.png) 15px -163px no-repeat #f3f3f3;\n width: 18px;\n font-size: 16px;\n padding: 10px 15px;\n}\n\n.ui-datepicker {\n z-index: 10000 !important;\n}" }, { "path": "htdocs/css/print.css", "content": "#iem-footer {\n display: none;\n}\n\n#iem-header {\n display: none;\n}\n\n#menuwrapper {\n display: none;\n}" }, { "path": "htdocs/current/all.phtml", "content": "refresh = 60;\n$t->title = \"$state Current Conditions\";\n\n$arr = array(\"state\" => $state);\n$jobj = iemws_json(\"currents.json\", $arr);\n\n$vals = array(\n \"tmpf\" => \"Air Temperature [F]\", \"dwpf\" => \"Dew Point Temp [F]\",\n \"sknt\" => \"Wind Speed [knots]\", \"drct\" => \"Wind Direction [deg]\",\n \"alti\" => \"Altimeter [mb]\", \"peak\" => \"Today's Wind Gust [knots]\",\n \"peak_ts\" => \"Time of Peak Gust\", \"relh\" => \"Relative Humidity\",\n \"feel\" => \"Feels Like [F]\", \"vsby\" => \"Visibility [miles]\",\n \"ts\" => \"Observation Time\", \"phour\" => \"Last Hour Rainfall [inch]\",\n \"min_tmpf\" => \"Today's Low Temperature\",\n \"max_tmpf\" => \"Today's High Temperature\",\n \"pday\" => \"Today Rainfall [inch]\"\n);\nif (! array_key_exists($sortcol, $vals)) {\n // Bad user!\n xssafe(\"\");\n}\n\n$t->current_network = 'By State';\n\n$mno = ($metar == \"no\") ? \" CHECKED\" : '';\n$myes = ($metar == \"yes\") ? \" CHECKED\" : '';\n$ar = array(\n \"asc\" => \"Ascending\",\n \"desc\" => \"Descending\"\n);\n$aselect = make_select(\"sorder\", $sorder, $ar);\n\n$uri = \"all.phtml?state=$state&metar=$metar&sorder=$sorder&sortcol=\";\n\n$mydata = array();\nforeach ($jobj[\"data\"] as $bogus => $iemob) {\n $key = $iemob[\"station\"];\n $mydata[$key] = $iemob;\n $mydata[$key][\"sped\"] = $mydata[$key][\"sknt\"] * 1.15078;\n $mydata[$key][\"relh\"] = relh(f2c($mydata[$key][\"tmpf\"]), f2c($mydata[$key][\"dwpf\"]));\n if ($mydata[$key][\"relh\"] < 5) {\n $mydata[$key][\"relh\"] = \"M\";\n $mydata[$key][\"dewpf\"] = \"M\";\n if ($sortcol == \"feel\" || $sortcol == \"dwpf\" || $sortcol == \"relh\") {\n $mydata[$key][\"feel\"] = null;\n continue;\n }\n }\n if ($mydata[$key][\"tmpf\"] < -60) {\n $mydata[$key][\"tmpf\"] = \"M\";\n if ($sortcol == \"tmpf\" || $sortcol == \"feel\" || $sortcol == \"dwpf\" || $sortcol == \"relh\") {\n $mydata[$key][\"feel\"] = null;\n continue;\n }\n }\n if ($mydata[$key][\"alti\"] < -60) {\n $mydata[$key][\"alti\"] = \"M\";\n if ($sortcol == \"alti\") {\n $mydata[$key][\"alti\"] = null;\n continue;\n }\n }\n if ($mydata[$key][\"vsby\"] < 0) {\n $mydata[$key][\"vsby\"] = \"M\";\n if ($sortcol == \"vsby\") {\n $mydata[$key][\"vsby\"] = null;\n continue;\n }\n }\n\n if ($mydata[$key][\"max_gust\"] > $mydata[$key][\"max_sknt\"]) {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_gust\"];\n if (! is_null($mydata[$key][\"local_max_gust_ts\"])) {\n $mydata[$key][\"peak_ts\"] = strtotime($mydata[$key][\"local_max_gust_ts\"]);\n }\n } else {\n $mydata[$key][\"peak\"] = $mydata[$key][\"max_sknt\"];\n $mydata[$key][\"peak_ts\"] = 0;\n if (! is_null($mydata[$key][\"local_max_sknt_ts\"])) {\n $mydata[$key][\"peak_ts\"] = strtotime($mydata[$key][\"local_max_sknt_ts\"]);\n }\n }\n}\n\n$finalA = array();\n$finalA = aSortBySecondIndex($mydata, $sortcol, $sorder);\n$now = time();\n$i = 0;\n$table = \"\";\nforeach ($finalA as $key => $val) {\n $i++;\n if ($i > 30) break;\n $parts = $finalA[$key];\n\n $table .= \"\";\n\n $tdiff = $now - strtotime($parts[\"local_valid\"]);\n $table .= \"\" . $parts[\"name\"] . \" (\" . $key . \")\";\n $table .= \" 10000) {\n $fmt = \"d M h:i A\";\n $table .= 'bgcolor=\"red\"';\n } else if ($tdiff > 7200) {\n $table .= 'bgcolor=\"orange\"';\n } else if ($tdiff > 3600) {\n $table .= 'bgcolor=\"green\"';\n }\n $table .= \">\" . date($fmt, strtotime($parts[\"local_valid\"])) . \"\n \" . myround($parts[\"tmpf\"], 0) . \"(\" . myround($parts[\"max_tmpf\"], 0) . \"/\" . myround($parts[\"min_tmpf\"], 0) . \")\n \" . myround($parts[\"dwpf\"], 0) . \"\n \" . myround($parts[\"feel\"], 0) . \"\n \" . $parts[\"relh\"] . \"\n \" . $parts[\"alti\"] . \"\n \" . $parts[\"vsby\"] . \"\n \" . myround($parts[\"sknt\"], 0);\n if (strlen($parts[\"gust\"] != 0)) {\n $table .= \"G\" . myround($parts[\"gust\"], 0);\n }\n $table .= \"\";\n $table .= \"\" . $parts[\"drct\"] . \"\";\n if (array_key_exists(\"peak\", $parts) && array_key_exists(\"peak_ts\", $parts)) {\n $table .= myround($parts[\"peak\"], 0) . \" @ \" . date(\"h:i A\", $parts[\"peak_ts\"]);\n }\n $table .= \"{$parts['phour']}{$parts['pday']}\\n\";\n if ($metar == \"yes\") {\n $table .= \"\";\n $table .= \"\n \" . $parts[\"raw\"] . \"\n \\n\";\n }\n}\n$sselect = stateSelect($state);\n$t->content = <<\n
    \n\n\n\n \n \n\n\n\n
    View Options:Include METARS:\n No\n Yes\nSort Order:{$aselect}State:{$sselect}
    \n

    Top 30 values of {$vals[$sortcol]} displayed from the combination\nof RWIS, ASOS, & AWOS sites in the state.\n\n

    \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n \n{$table}\n\n
    ADD:Station:Ob TimeTemps °F Wind [knots]Precip
    \n Air\n (Hi /\n Lo)\nDewpFeels LikeRH %AltiVsbySpeedDirectionGust\n @ TimeLast HourToday
    \n\n\n\n\n
    \nEOM;\n$t->render('sortables.phtml');\n" }, { "path": "htdocs/current/bloop.phtml", "content": " $szSwitch){\n $width = 640;\n $height = 480;\n}\n\n$now = time();\n$wmessage = \"\";\nif ($nts < $cameras[$cid][\"sts\"] || $nts > $cameras[$cid][\"ets\"]){\n $wmessage = \"

    Error: Your choice of time and station is outside of the archive available for this site!
    \\n\";\n $day = date(\"d\", $cameras[$cid][\"ets\"] - 3600);\n $month = date(\"m\", $cameras[$cid][\"ets\"] - 3600);\n $hour = date(\"H\", $cameras[$cid][\"ets\"] - 3600);\n $minute = date(\"i\", $cameras[$cid][\"ets\"] - 3600);\n $year = date(\"Y\", $cameras[$cid][\"ets\"] - 3600);\n $minute = $minute - ($minute % 5);\n}\n\n$nts = mktime($hour, $minute, 0, $month, $day, $year);\n\n$images = Array();\n$labels = Array();\n$files = \"\";\nfor ($i=0; $i < (intval($frames));$i++){\n $ts = $nts + ($i * (intval($interval) ));\n if ($ts > $now) { /* We are in the future! */\n $frames = $i;\n break;\n }\n $uri = \"/archive/data/\". gmdate('Y/m/d/', $ts) .\"camera/$cid/\". $cid .\"_\". gmdate('YmdHi', $ts) .\".jpg\";\n $labels[] = date(\"d M Y H:i a\", $ts);\n $images[] = $uri;\n $files .= $uri .\",\";\n}\n\n$cselect = \"\";\n$ys = yearSelect(2003, $year, \"year\");\n$ms = monthSelect($month);\n$ds = daySelect($day);\n$hs = hourSelect($hour, \"hour\");\n$mi = minuteSelect($minute, \"minute\",5);\n\n$ar = Array(\n \"script\" => \"Java Script\",\n \"none\" => \"List Images\",\n);\n$loopselect = make_select(\"java\", $java, $ar);\n\n$ar = Array(\n \"60\" => \"1 minute\",\n \"300\" => \"5 minutes\",\n \"900\" => \"15 minutes\",\n \"3600\" => \"1 hour\",\n \"86400\" => \"1 day\",\n \"604800\" => \"1 week\",\n);\n$intselect = make_select(\"interval\", $interval, $ar);\n\n$jsextra = \"\";\n$headextra = \"\";\nif ($java == \"script\") {\n $t->jsani = true;\n $sz = sizeof($images);\n $hidden_list = '
      ';\n foreach($images as $key => $val){\n $hidden_list .= sprintf(\"
    • %s
      • \", $val);\n }\n $hidden_list .= \"
    \";\n $control = <<\n{$hidden_list}\nEOM;\n} else {\n $control = \"\";\n foreach($images as $key => $val){\n $control .= sprintf(\"\", $val);\n }\n}\n\n$imglinks = \"\";\nreset($images);\nforeach($images as $key => $value){\n $imglinks .= \"
  • \". $labels[$key] .\"
    • \";\n}\n\n$t->jsextra = $jsextra;\n$t->headextra = $headextra;\n$t->content = <<Still images are saved from the SchoolNet8 web cameras every 5 minutes.\nThis page gives you a tool to build animations from this archive of images.

    \n\n\n
    \n\n\n\n\n \n \n\n\n\n\n\n\n\n
    Camera (Archive Starts / Ends):Year:Month:Day:Hour:Minute:
    {$cselect}\n{$ys}{$ms}{$ds}{$hs}{$mi}
    \n\n\n\n\n\n\n\n
    Frames:Loop Tool:{$loopselect}Frame Interval:\n{$intselect}\n
    \n
    \n\n
    \n{$control}\n
    \n\n

    Images used in this loop.
    \n

      \n{$imglinks}\n
    \n\nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/current/camera.module.js", "content": "/**\n * Switch the archived checkbox to checked state\n */\nexport function switchToArchiveMode() {\n const isArchivedElement = document.getElementById('isarchived');\n if (isArchivedElement instanceof HTMLInputElement) {\n isArchivedElement.checked = true;\n }\n}\n\n/**\n * Set up event listeners for camera form controls\n */\nfunction setupEventListeners() {\n // Get all the form controls that should trigger archive mode\n const formControls = [\n document.querySelector('select[name=\"year\"]'),\n document.querySelector('select[name=\"month\"]'),\n document.querySelector('select[name=\"day\"]'),\n document.querySelector('select[name=\"hour\"]'),\n document.querySelector('select[name=\"minute\"]')\n ];\n\n // Add change event listeners to all form controls\n formControls.forEach(control => {\n if (control) {\n control.addEventListener('change', switchToArchiveMode);\n }\n });\n}\n\n// Initialize when DOM is loaded\ndocument.addEventListener('DOMContentLoaded', setupEventListeners);" }, { "path": "htdocs/current/camera.phtml", "content": " $val) {\n if ($cameras[$id][\"network\"] != $network) continue;\n\n $cameras[$id][\"url\"] = sprintf(\"/data/camera/stills/%s.jpg?%s\", $id, time());\n $camfn = \"/mesonet/ldmdata/camera/stills/{$id}.jpg\";\n if (!is_file($camfn) || filemtime($camfn) < (time() - 1200)) {\n $cameras[$id][\"active\"] = false;\n }\n\n if ($isarchive) {\n $cameras[$id][\"active\"] = true;\n $ts = mktime($hour, $minute, 0, $month, $day, $year);\n $ts5 = mktime($hour, $minute - ($minute % 5), 0, $month, $day, $year);\n\n $fp = \"/mesonet/ARCHIVE/data/\" . gmdate(\"Y/m/d/\", $ts) . \"camera/$id/{$id}_\" . gmdate(\"YmdHi\", $ts) . \".jpg\";\n $url = \"/archive/data/\" . gmdate(\"Y/m/d/\", $ts) . \"camera/$id/{$id}_\" . gmdate(\"YmdHi\", $ts) . \".jpg\";\n $fp5 = \"/mesonet/ARCHIVE/data/\" . gmdate(\"Y/m/d/\", $ts5) . \"camera/$id/{$id}_\" . gmdate(\"YmdHi\", $ts5) . \".jpg\";\n $url5 = \"/archive/data/\" . gmdate(\"Y/m/d/\", $ts5) . \"camera/$id/{$id}_\" . gmdate(\"YmdHi\", $ts5) . \".jpg\";\n\n if (is_file($fp)) $cameras[$id][\"url\"] = $url;\n else if (is_file($fp5)) $cameras[$id][\"url\"] = $url5;\n else $cameras[$id][\"active\"] = false;\n }\n\n if ($cameras[$id][\"active\"]) {\n $cameras[$id][\"num\"] = intval(substr($id, 5, 3));\n }\n}/* End of while */\n\nreset($cameras);\n\n$t->title = \"Web Cameras\";\n$t->jsextra = '';\n\nif (!$isarchive && isset($camera_refresh))\n $t->refresh = $camera_refresh;\n\n$selback = array(\n \"KELO\" => \"#fff\",\n \"KCCI\" => \"#fff\",\n \"KCRG\" => \"#fff\",\n \"MCFC\" => \"#fff\"\n);\n$selback[$network] = \"#ffcc99\";\n\n$isarchived = ($isarchive) ? \" CHECKED=CHECKED\" : \"\";\n$ys = yearSelect(2003, $year, \"year\");\n$month_select = monthSelect($month, \"month\");\n$ds = daySelect($day, \"day\");\n$hs = hourSelect($hour, \"hour\");\n$ms = minuteSelect($minute, \"minute\", 1);\n$dd = date(\"YmdHi\", $radts);\n\n$misstxt = \"Cameras Missing: \";\n$control = \"\";\nforeach ($cameras as $id => $v) {\n if ($v[\"network\"] != $network) {\n continue;\n }\n if (!$v[\"active\"]) {\n $misstxt .= $v[\"name\"] . \" , \";\n continue;\n }\n $control .= sprintf(\"
    %s. %s, %s (%s County)
    \", $v[\"num\"], $v[\"name\"], $v[\"state\"], $v[\"county\"], $v[\"url\"]);\n}\n\n$t->content = <<This legacy app will be removed at some point\nin the future. Please use the newer version.\n\nWebcam Networks\n\n\n
    \n \n\n\n\n\n\n\n\n\n\n\n\n\n
    Time Settings:
     Year:Month:Day:Hour:Minute
    \n\n\n{$ys}{$month_select}{$ds}{$hs}{$ms}
    \n
    \n\n
    Radar View
    \n
    \n\n{$control}\n{$misstxt}\n\n
    \n\n

    Cool Shots!\n

    \nEOM;\n$t->render('single.phtml');\n" }, { "path": "htdocs/current/camlapse/app.js", "content": "/* global flowplayer */\n\n// https://stackoverflow.com/questions/5202085\nfunction rsplit(val, sep, maxsplit) {\n const split = val.split(sep);\n return maxsplit ? [split.slice(0, -maxsplit).join(sep)].concat(split.slice(-maxsplit)) : split;\n}\n\n/**\n * Replace HTML special characters with their entity equivalents\n * @param string val\n * @returns string converted string\n */\nfunction escapeHTML(val) {\n return val.replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\nlet player = null;\n\nfunction myloader() {\n const ts = new Date();\n const mycam = escapeHTML(document.theform.mycam.value);\n const mylapse = escapeHTML(document.theform.mylapse.value);\n window.location.href = `#${mycam}_${mylapse}`;\n const url = `https://mesonet.agron.iastate.edu/onsite/lapses/auto/${mycam}_${mylapse}.mp4?${ts.getTime()}`;\n\n if (player) {\n // Load new video into existing player\n player.load({\n sources: [\n { type: \"video/mp4\", src: url }\n ]\n });\n }\n}\n\ndocument.addEventListener('DOMContentLoaded', () => {\n // Initialize the flowplayer\n const container = document.querySelector('.flowplayer');\n player = flowplayer(container, {\n clip: {\n sources: [\n { type: \"video/mp4\", src: \"https://mesonet.agron.iastate.edu/onsite/lapses/auto/isu_curtis_center_sunrise.mp4\" }\n ]\n }\n });\n\n player.on(\"error\", (_e, api, err) => {\n if (err.code === 4) { // Video file not found\n // reset state\n api.error = api.loading = false;\n }\n });\n\n const tokens = window.location.href.split('#');\n if (tokens.length === 2) {\n const tokens2 = rsplit(tokens[1], '_', 1);\n if (tokens2.length === 2) {\n const mycam = tokens2[0];\n document.getElementById('mycam').value = mycam;\n const mylapse = tokens2[1];\n document.getElementById('mylapse').value = mylapse;\n window.setTimeout(myloader, 1000);\n } else {\n document.getElementById('mycam').value = 'isu_curtis_center';\n }\n } else {\n document.getElementById('mycam').value = 'isu_curtis_center';\n }\n});\n" }, { "path": "htdocs/current/camlapse/index.phtml", "content": "title = \"Webcam Lapse Player\";\n$t->headextra = <<\nEOM;\n\n$camselect = \"\";\n\n$t->content = <<Recent Web Cam Time Lapses\n\n

    Each day, the IEM generates five time lapses from each of the web cameras.\nThis page allows you to view the most recent iteration of these lapses. Please\nnote the timestamp on the lapses, some of them may be old.

    \n\n\n
    \n
    \n\n
    \n
    \n
    Select Camera:\n{$camselect}\nSelect Lapse:\n\n
    \n\nEOM;\n$t->jsextra = <<\n\nEOM;\n\n$t->render('single.phtml');\n" }, { "path": "htdocs/current/camlapse/kcrg.js", "content": "// global flowplayer\nflowplayer.conf = {\n engine: 'flash',\n swf: '/vendor/flowplayer/6.0.2/flowplayer.swf'\n};\nlet mycam = null;\nlet mylapse = null;\nlet ts = new Date();\nconst container = document.getElementById(\"player\");\nflowplayer(container, {\n clip: {\n sources: [{\n type: 'video/mp4',\n src: `/onsite/lapses/auto/kirkwood_sunrise.mp4?${ts.getTime()}`\n },\n {\n type: 'video/flv',\n src: `/onsite/lapses/auto/kirkwood_sunrise.flv?${ts.getTime()}`\n }\n\n ]\n }\n});\n\nfunction myloader() {\n ts = new Date();\n mycam = document.theform.mycam.value;\n mylapse = document.theform.mylapse.value;\n window.location.href = `#${encodeURIComponent(mycam)}_${encodeURIComponent(mylapse)}`;\n const url = `/onsite/lapses/auto/${encodeURIComponent(mycam)}_${encodeURIComponent(mylapse)}.flv?${ts.getTime()}`;\n const url2 = `/onsite/lapses/auto/${encodeURIComponent(mycam)}_${encodeURIComponent(mylapse)}.mp4?${ts.getTime()}`;\n const api = flowplayer();\n api.load([{ flash: url, mp4: url2 }]);\n}\n\nconst tokens = window.location.href.split('#');\nif (tokens.length === 2) {\n const tokens2 = tokens[1].split('_');\n if (tokens2.length === 2) {\n mycam = tokens2[0];\n document.getElementById('mycam').value = mycam;\n mylapse = tokens2[1];\n document.getElementById('mylapse').value = mylapse;\n myloader();\n }\n}\n" }, { "path": "htdocs/current/camlapse/kcrg.phtml", "content": "\";\nforeach ($cameras as $key => $dict) {\n if ($dict[\"removed\"] || ($dict[\"network\"] != \"KCRG\" && $key != 'KCCI-017')) {\n continue;\n }\n $camselect .= \"