Predicting how hurricanes and cyclones develop is a longstanding challenge, and every hour of warning counts. Tropical cyclones are among the most destructive weather events on Earth, and for meteorologists, issuing accurate, timely warnings is a constant race against time.Today, in a paper published in Nature, Google researchers show that our WeatherNext AI model achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. This represents a massive leap forward — roughly a decade of meteorological progress in one model.To help build climate resilience worldwide, we are now open-sourcing the WeatherNext 2 model to the global research community. For more information, check the Google DeepMind blog.
Google DeepMind blog
An AI breakthrough in forecasting cyclones
WeatherNext enables accurate cyclone forecasts that can give an extra day of warning. Now we are open sourcing the model.
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