GoKawiilGoogle DeepMind launches WeatherNext 3 with live satellite-fed forecasting
Google DeepMind has released WeatherNext 3, an upgrade to its AI weather model that generates hourly forecasts on a 5-kilometer grid, five times finer than its predecessor. The improvement comes from feeding the model live satellite imagery and sparse weather station readings instead of relying mainly on lagging numerical prediction data.
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Finer, faster forecasts of wind, cloud cover and sunlight could directly help renewable energy operators plan turbine and solar output more precisely, while the claimed 50 percent boost in precipitation accuracy targets regions where forecasting has traditionally been weakest. Rolling the model into Search, Maps, Gemini and Earth Engine also shows Google embedding proprietary AI forecasting deeper into everyday consumer and enterprise tools.
- WeatherNext 3 offers hourly forecasts on a 5km grid versus 25km previously
- It uses live satellite data instead of lagging numerical weather models
- It will power Google Search, Maps, Gemini, and Earth Engine weather features
Tempest Weather System by WeatherFlow — If hyper-local forecasting excites you, the Tempest Weather System brings that idea to your own backyard, tracking wind, rain, temperature, humidity and solar radiation with no moving parts to maintain. It streams data to an app and shares it with a wider network, so you're contributing to the same kind of station data models like WeatherNext learn from.
See Tempest Weather System by WeatherFlow on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: engadget.com — Ian Carlos Campbell, 2026-09-03
Published there as: “Google's new AI weather model uses live satellite data for higher-resolution forecasts”
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