Downscaling daily climate data with super-resolution and CMIP6 global climate models to predict the climate in China
Traditional downscaling methods are often hampered by high computational costs and assumptions of statistical stationarity, which compromise the reliability of future regional climate risk assessments. To address these problems, we developed a downscaling framework that integrates super-resolution (...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
KeAi Communications Co., Ltd.
2026-01-01
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| Serie: | Advances in Climate Change Research |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1674927825002606 |
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