Interpretable feature incorporation machine-learning framework for flood magnitude estimation
<p>Fluvial floods pose severe socioeconomic and environmental risks and are projected to change in frequency and severity in future decades. Estimating the magnitude of extreme floods remains challenging, particularly for sparse tail events. This motivates the need to identify predictors across catc...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2026-04-01
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| coleção: | Hydrology and Earth System Sciences |
| Acesso em linha: | https://hess.copernicus.org/articles/30/2135/2026/hess-30-2135-2026.pdf |
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