Google · Google DeepMind
WeatherNext: AI model achieves breakthrough in forecasting cyclones
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WeatherNext enables accurate cyclone forecasts that can give an extra day of warning.
Key facts
- Tropical cyclones, also known as hurricanes or typhoons, are among the most destructive weather phenomena on Earth, responsible for more than 700,000 deaths and $1.4 trillion in economic losses
- This collaborative work brought together AI researchers and engineers at Google DeepMind and Google Research, with expert forecasters at the National Hurricane Center (NHC), the Cooperative Institute
- They'd like to thank their collaborators NOAA/NWS/NCEP National Hurricane Center, Cooperative Institute for Research in the Atmosphere (CIRA) and the UK Met Office for their partnership and contributions
- This year they scaled their ensemble size to 1,000 members, capturing rare but consequential scenarios like rapid intensification events, as occurred during Hurricane Melissa in 2025
Summary
Predicting how dangerous cyclones develop is a longstanding challenge where every hour counts. Today, in a paper published in Nature, they show that their WeatherNext AI model achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. This collaborative work brought together AI researchers and engineers at Google DeepMind and Google Research, with expert forecasters at the National Hurricane Center (NHC), the Cooperative Institute for Research in the Atmosphere (CIRA), the UK Met Office, and weather agencies around the world. Their research has already had real-world impact.