Advances and prospects of deep learning for medium-range extreme weather forecasting
<p>In recent years, deep learning models have rapidly emerged as a stand-alone alternative to physics-based numerical models for medium-range weather forecasting. Several independent research groups claim to have developed deep learning weather forecasts that outperform those from state-of-the-art p...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Copernicus Publications
2024-03-01
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| Colección: | Geoscientific Model Development |
| Acceso en línea: | https://gmd.copernicus.org/articles/17/2347/2024/gmd-17-2347-2024.pdf |
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