DeepMind's WeatherNext 3 cuts precipitation forecast error up to 50% with 5x resolution boost
GoogleDeepMind · x · 2026-09-03
Google DeepMind, with Google Research, launched WeatherNext 3, an AI weather model trained directly on raw weather station observations.
- Cuts global precipitation forecast error by up to 50%, with the largest gains in historically underserved regions
- Captures localized microclimates thanks to station-level training data
- Boosts temperature forecast resolution 5x, from 25km down to 5km in a single pass
- Ingests real-time satellite data to launch a fresh forecast every hour, versus the traditional 6-hour update cycle
Related event: Google Launches WeatherNext 3, Its Most Advanced Global Weather AI Model(19 posts)→
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