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Á. Sánchez-González

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Open access Aug 2026

Operational tropical cyclone forecasting with AI

Tropical cyclones are among the most dangerous and costly weather phenomena, but forecasting them remains challenging. Here we introduce WeatherNext Cyclones (WN-C), an artificial intelligence (AI)-based operational weather model that produces state-of-the-art ensemble forecasts of the track, intensity and size of trop...

Ferran Alet, Tom R. Andersson, Ilan Price et al. · Nature · 6 citations

#machine learning Preprint Sep 2026

WeatherNext 3: Increasing resolution and performance of global weather models with raw observations

Together, WeatherNext 3's capabilities move operational AI-based weather forecasting beyond emulating the traditionally distinct stages of data assimilation, forecasting and post-processing, which helps to further push the frontier of performance and granularity for global weather prediction.

S. Rasp, Boris Babenko, Dominic Masters et al. · 1 citation