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Dev tools · December 12, 2020

PT

Probably the most comprehensive weather API currently available

This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://en.wikipedia.org/wiki/Data_assimilation), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data…

What it does

In the maker’s words, at launch

This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://en.wikipedia.org/wiki/Data_assimilation), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data service provider to have this extensive range of coverage accessible via REST API, where one can quickly query time-series of weather parameters for any location in seconds rather than hours or days from the original source. Here are some stats: Coverage: Global, from 1950 to 10 days ahead Spatial Resolution: 0.25 deg x 0.25 deg (lat x lon) Temporal Resolution: Hourly Weather Parameters: ~30, including longwave/shortwave radiation, wetbulb temperature, windspeed at 100m, etc. (https://docs.oikolab.com/#3-weather-parameters) NetCDF/GRIB Data Size: ~100TB Data Sources: Historical (ERA5) - https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 Forecast (GFS) - https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs Any feedback or comments would be much appreciated. Thanks!

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