Postprocessing East African Rainfall Forecasts Using a Generative Machine Learning Model
Abstract Existing weather models are known to have poor skill at forecasting rainfall over East Africa. Improved forecasts could reduce the effects of extreme weather events and provide significant socioeconomic benefits to the region. We present a novel machine learning (ML)‐based method to improve...
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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
American Geophysical Union (AGU)
2025-03-01
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| Серія: | Journal of Advances in Modeling Earth Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1029/2024MS004796 |
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