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WeatherNext: AI model achieves breakthrough in forecasting cyclones

WeatherNext: AI model achieves breakthrough in forecasting cyclones

AI Google Deepmind
Google DeepMind's new WeatherNext AI models improve cyclone trajectory and intensity forecasting, providing an average of one extra day of predictive warning.
What: WeatherNext 2 and WeatherNext Cyclones use AI to track tropical cyclones more accurately than traditional methods. The model successfully predicted the path and intensification of Hurricane Melissa in 2025. Google has released the models as open source to assist researchers in climate resilience.
Why it matters: This demonstrates the transition of AI from general LLM tasks into high-stakes scientific forecasting, where efficiency and accuracy directly mitigate humanitarian risks.
Original article

WeatherNext is an AI model that achieves state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. The model gives forecasters, on average, an extra day's worth of predictive accuracy compared to current methods. Google has open-sourced its WeatherNext 2 and WeatherNext Cyclones models to empower the research community and amplify AI's impact on building more resilient communities. The research has already had real-world impact - it predicted Hurricane Melissa's rapid intensification and landfall in Jamaica during the 2025 hurricane season, enabling advanced warnings to be issued and giving teams on the ground critical time to prepare.

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