Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia
Abstract Artificial Intelligence (AI) weather models are explored for initial condition sensitivity studies to analyze the physicality of the relationships learned. Gradients (or sensitivities) of the target metric of interest are computed with respect to the variable fields at initial time by means...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-03-01
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| Series: | npj Climate and Atmospheric Science |
| Acceso en liña: | https://doi.org/10.1038/s41612-025-00949-6 |
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