Google DeepMind Launches WeatherNext 3 AI Model
New global weather model offers 50% more accurate precipitation forecasts via real-time satellite data integration.
A digital rendering of planet Earth with glowing blue and white lines illustrating atmospheric weather patterns and data overlays.
Photo: Kronos News
Google DeepMind and Google Research introduced WeatherNext 3, an advanced global weather AI model [1]. This system uses real-time satellite data to provide hourly, high-resolution forecasts across the globe [1][2]. The model learns directly from atmospheric observations to improve prediction quality [1][3].
Google has integrated the technology across its core services, including Search, Gemini, and Maps [1]. Internal tests show precipitation forecasts are up to 50% more accurate than previous AI versions [1][2]. This release marks a significant step in using AI for meteorology [3].
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