Author

Jonathan Lin

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Preprint Sep 2026

FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting

FAST-ML demonstrates that observation-driven parameter learning within physically constrained dynamics simultaneously enhances accuracy, interpretability, and computational efficiency, and demonstrates that observation-driven parameter learning within physically constrained dynamics simultaneously enhances accuracy, in...

Shi-Jie Xiao, Jonathan Lin, Thomas Ehrmann et al. · 0 citations

#machine learning Preprint Sep 2026

FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting

Rapid intensification (RI) remains one of the most consequential and difficult aspects of tropical cyclone (TC) forecasting. Although full-physics numerical weather prediction models can represent the processes governing RI, resolving storm-environment interactions remains computationally expensive, while purely data-d...

Shi-Jie Xiao, Jonathan Lin, Thomas Ehrmann et al. · 0 citations