Integrating Diurnal Pulsing Signatures for AI‐Driven Tropical Cyclone Intensity Prediction
Abstract Although artificial intelligence (AI) models are increasingly applied to tropical cyclone (TC) intensity prediction, they predominantly rely on instantaneous meteorological variables (e.g., satellite infrared images) while often overlooking more informative temporal evolution signals, such...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2026-02-01
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| Serie: | Geophysical Research Letters |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1029/2025GL119496 |
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