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Author

Samier Merchant

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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. · 6 citations
#machine learning Preprint Sep 2026

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

State-of-the-art AI weather models have shown impressive medium-range forecast skill and computational efficiency, but suffer two key shortcomings: their forecasts have lower spatial and temporal resolution than the best physics-based models and they are exclusively initialized with and trained on analysis data. As a r...

S. Rasp, Boris Babenko, Dominic Masters et al. · 0 citations

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