Statistical‐Physical Adversarial Learning From Data and Models for Downscaling Rainfall Extremes
Abstract Quantifying the risk from extreme weather events in a changing climate is essential for developing effective adaptation and mitigation strategies. Climate models capturing different scenarios are often the starting point for physical risk. However, accurate risk assessment for mitigation an...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Geophysical Union (AGU)
2024-06-01
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| Serie: | Journal of Advances in Modeling Earth Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1029/2023MS003860 |
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