09/04/2026
Google DeepMind introduced WeatherNext 3, its new weather model that uses live satellite images to refresh its forecasts every hour, taking the top spot on scoreboards against both rival models and the U.S. and European weather services.
WeatherNext 3’s improvement is about 5x in detail for temperature down to 5 KM, enough to pick out individual valleys and coastlines.
Older AI forecasters learned from physics runs that came roughly 6 hours late, with WeatherNext adding in live feeds and ground stations for quicker turnaround.
Rain is typically AI forecasting’s weak spot, and Google said errors dropped up to 60% vs. satellite data, with day-ahead rain forecasts now up to 50% better.
Google is integrating WeatherNext 3 across its suite of apps including Search, Maps, Gemini, and Earth.
How a forecast ends up in your weather app isn’t something most people think about, but the model underneath getting faster, more accurate, and available worldwide is a win nearly everyone can get behind. It’s also another reminder that some of the biggest AI wins may be the ones nobody thinks of as AI at all.
Source: The Rundown AI Newsletter