Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics

Abstract Machine Learning Weather Prediction (MLWP) models have recently demonstrated remarkable potential to rival physics‐based Numerical Weather Prediction (NWP) models, offering global weather forecasts at a fraction of the computational cost. However, thorough evaluations are essential before c...

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Autori principali: Pankaj Lal Sahu, Sukumaran Sandeep, Hariprasad Kodamana
Natura: Articolo
Lingua:inglese
Pubblicazione: Wiley 2025-06-01
Serie:Journal of Geophysical Research: Machine Learning and Computation
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Accesso online:https://doi.org/10.1029/2025JH000594
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