GribStream Blog
GribStream: historical weather forecast API
A short overview of GribStream as a SaaS API for historical weather forecasts.
On December 20, 2024, we shared a short overview of GribStream as a SaaS platform for historical weather forecasts.
The core idea
GribStream turns large forecast archives into a queryable API. Instead of downloading and parsing GRIB files, you request the exact locations, times, and variables you need and get back data in minutes.
What you can do with it
- Access historical and real-time model data from NOAA, ECMWF, and AI models.
- Pull long time ranges for many points in a single request.
- Use as-of time travel to keep backtests honest and reproducible.
- Compute derived fields and filters to detect events, thresholds, or composites.
- Stream large exports with NDJSON for pipelines.
Where it fits
GribStream is built for backtesting, verification, ML training, and operational analytics where you need lots of forecasts quickly without the storage and ETL burden.
