Forecast.io raw data sources

Forecast.io is backed by a wide range of data sources, which are aggregated together statistically to provide the most accurate forecast possible for a given location. Enter a location, and select a forecast field to see the raw data:

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(You can zoom in by dragging on a region of the chart, and disable individual forecasts by click on their label.)

Data Sources:

  1. Dark Sky’s own hyperlocal precipitation forecasting system (id darksky), backed by radar data from the following systems:
  2. The USA NOAA’s LAMP system (USA, id lamp).
  3. The UK Met Office’s Datapoint API (UK, id datapoint).
  4. The Norwegian Meteorological Institute’s meteorological forecast API (global, id metno).
  5. The USA NOAA’s Global Forecast System (global, id gfs).
  6. The USA NOAA’s Integrated Surface Database (global, id isd).
  7. The USA NOAA’s Public Alert system (USA, id nwspa).
  8. The UK Met Office’s Severe Weather Warning system (UK, id metwarn).
  9. Environment Canada’s Canadian Meteorological Center ensemble model (global, id cmc).
  10. The US Navy’s Fleet Numerical Meteorology and Oceanography Ensemble Forecast System (global, id fnmoc).
  11. The USA NOAA and Environment Canada’s North American Ensemble Forecast System (global, id naefs).
  12. The USA NOAA’s North American Mesoscale Model (North America, id nam).
  13. The USA NOAA’s Rapid Refresh Model (North America, id rap).
  14. The Norwegian Meteorological Institute’s GRIB file forecast for Central Europe (Europe, id metno_ce).
  15. The Norwegian Meteorological Institute’s GRIB file forecast for Northern Europe (Europe, id metno_ne).
  16. Worldwide METAR weather reports (global, id metar).
  17. The USA NOAA/NCEP’s Short-Range Ensemble Forecast (North America, id sref).
  18. The USA NOAA/NCEP’s Real-Time Mesoscale Analysis model (North America, id rtma).
  19. The USA NOAA/ESRL’s Meteorological Assimilation Data Ingest System (global, id madis).