Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Google DeepMind launches WeatherNext 3, an AI weather model delivering hourly 5-km forecasts from live satellite data, now integrated across Google products.
WeatherNext 3 ingests live geostationary satellite mosaics and station observations through a Functional Generative Network (FGN) mesh transformer, producing hourly forecasts at 5-km surface resolution versus WeatherNext 2's 25-km, 6-hour grid. Independent live evaluations by Brightband rate it the most accurate global weather model to date. It adds renewable-energy variables such as 100-meter turbine-height wind speeds and solar radiation, and is integrated across Search, Gemini, Maps, Google Maps Platform, and Cloud.
- FGN mesh transformer trained on raw satellite and station observation data
- Roughly five times sharper resolution than WeatherNext 2's 25-km grid
- Adds 100-meter wind speed and cloud-cover forecasts for clean energy planning
- Aims to serve underserved regions in Latin America, Africa, and Asia-Pacific
- Vendors
- Products
- WeatherNext 3WeatherNext 2
- Organizations
- Google DeepMindGoogle ResearchBrightband
- AI models
- WeatherNext 3
From the original article
6 min read at deepmind.google
Our flagship AI weather forecasting model now includes real-time satellite data, hourly refreshes, higher resolution, precise precipitation forecasting, and clean energy variables. It’s now integrated across Search, Gemini, Maps, Google Maps Platform, and Cloud. This content is generated by Google AI.
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