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Operational Typhoon Forecasting

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ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting

arXiv:2503.00424v2 Announce Type: replace Abstract: In this study, we develop a hybrid operational typhoon forecasting model that integrates the FuXi machine-learning (ML) model with the physics-based Shanghai Typhoon Model (SHTM) into a dual physics-data-driven framework. By employing spectral nudging, the hybrid model named FuXi-SHTM leverages FuXi's robust large-scale forecasting capabilities alongside SHTM's mesoscale strengths, significantly enhancing track, intensity, and precipitation...

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HK Express cancels 6 Hong Kong-Okinawa flights as Typhoon Jangmi approaches

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From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones

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Measurement of reactor neutrino oscillation with the first JUNO data

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Nature 23h ago