GribStream.com offers full access to historical weather data and forecasts through an efficient API. It's built for meteorologists, researchers, and anyone needing reliable weather data.
Features include:
A free tier to help you get started
Full history of weather forecasts
Leverage state of the art weather models like the National Blend of Models (NBM), the Global Forecast System (GFS) and the Rapid Refresh (RAP) models.
Blazing fast! Extract timeseries for thousands of coordinates, for months at a time, at hourly resolution in a single HTTP request taking seconds.
Supports as-of/time-travel, indispensable for proper backtesting of derivative models
Automatic gap filling of any missing data with the next best (most recent) forecast.
A long pipeline of incoming features!
Hundreds of weather parameters include:
Temperature
Dew point
Wind speed and direction
Accumulated rain & snow
Probability of rain and snow
Visibility
Relative humidity
Cloud cover
Many, many more!
Check out the documentation: https://gribstream.com/docs
Browse the data: https://gribstream.com/demo/nbm
See examples: https://github.com/GribStream/python-client
Reach out for support at: [email protected] and https://discord.com/invite/33eWFBpdUK