ResearchGoogle DeepMindConfirmed
Story 14 of 15 in the Friday 13 November editionGoogle DeepMind opens PARDIG and SatWeave datasets from WeatherNext 3
Released on Google Cloud on 13 November 2026 with historical archives and near-real-time streams, PARDIG and SatWeave open the radar and geostationary satellite inputs behind WeatherNext 3.
Google DeepMind openly released the two foundational observational datasets behind its hourly WeatherNext 3 global forecasting model on Google Cloud on 13 November 2026: PARDIG, an AI-driven global precipitation reanalysis delivering 10 km maps every 15 minutes, and SatWeave, a seamless 17-channel mosaic fusing five geostationary satellites every 60 minutes across historical archives and near-real-time streams.
Study details
- PARDIG specification
- AI-driven global precipitation reanalysis at 10 km spatial resolution updated every 15 minutes
- SatWeave specification
- Global mosaic of 5 geostationary satellites across 17 spectral channels updated every 60 minutes
- Cloud access modes
- Historical reanalysis archives plus near-real-time operational streams hosted on Google Cloud
Release details & context
Direct satellite assimilation in WeatherNext 3
Unlike earlier numerical and AI weather models that wait on multi-hour data-assimilation cycles, WeatherNext 3 ingests raw geostationary imagery directly to produce global hourly ensemble forecasts down to 5 km resolution for station-targeted temperature and humidity and 10 km for surface wind.
Operational WeatherNext 3 forecasts already feed Google Search, Google Maps, Gemini, BigQuery, Earth Engine and Google Cloud Storage alongside renewable-energy radiation and cloud-cover planning.
Sources
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