WeatherNext 3: Our most advanced global weather AI model
Google DeepMind and Google Research introduced WeatherNext 3 , an advanced global weather forecasting AI model that incorporates real-time satellite observations.
- High-Resolution & Hourly Refreshes: Produces hourly forecasts with spatial resolutions up to 5 km for key surface variables (temperature, moisture), 10 km for other surface metrics, and 25 km for atmospheric variables—five times sharper than WeatherNext 2.
- Real-Time Data Ingestion: Bypasses traditional numerical weather prediction lag by training directly on live geostationary satellite mosaics and sparse ground station data, enabling continuous rapid updates for localized weather shifts.
- Enhanced Precipitation Accuracy: Trained on NASA’s IMERG and satellite radar data, showing up to a 60% CRPS accuracy improvement for early lead times.
- Clean Energy Forecasting: Directly predicts 100-meter wind speeds for wind turbines and high-resolution cloud cover/solar radiation for solar farm output planning.
- Product Integration: Powers weather experiences across Google Search, Gemini, Maps, Google Maps Platform Weather API, and Earth Engine, while raw data is accessible via BigQuery and Google Cloud Storage.
WeatherNext 3: More accurate, timely, and local weather forecasts - YouTube

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