A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
<p>Timely projections of seasonal streamflow extremes can be useful for the early implementation of annual flood risk adaptation strategies. However, predicting seasonal extremes is challenging, particularly under nonstationary conditions and if extremes are correlated in space. The goal of this st...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2022-01-01
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| coleção: | Hydrology and Earth System Sciences |
| Acesso em linha: | https://hess.copernicus.org/articles/26/149/2022/hess-26-149-2022.pdf |
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