WeatherNext models | Google for Developers
WeatherNext is a family of global, medium-range atmospheric models developed by Google DeepMind and Google Research, leveraging machine learning to significantly improve forecast accuracy and efficiency. We have released two generations of WeatherNext models: We recommend starting with WeatherNext 2 for all new projects. It is our state-of-the-art model; WeatherNext 2 surpasses WeatherNext Gen on 99.9% of variables (e.g. temperature, wind, humidity) and lead times (0-15 days). The WeatherNext 1 models are considered legacy but remain available as a valuable reference and for users who need to compare results against our original published research. You can learn more about core WeatherNext use cases on the Use Cases page. See Glossary for more information on terms. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Poli
Skip to main content WeatherNext 3 WeatherNext 3 is Google's most advanced global weather forecasting model, developed by Google DeepMind and Google Research. By ingesting live geostationary satellite observations as a direct model input, WeatherNext 3 is initialized every hour, producing forecasts at up to 0.05° (5 km) spatial resolution with hourly timesteps. It also trains directly on real-world weather station data, producing output that better matches what is measured on the ground. For a detailed technical overview, see the research paper, the research and benchmarks page, and the…
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