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Evaluating post-processing approaches for monthly and seasonal streamflow forecasts
<p>Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological forecasts, hydrological model structure, and parameterization, as well as in the observed rainfall and streamflow data used to calibrate the models. Statistical streamflow post-processing is an import...
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Main Authors: | , , , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Copernicus Publications
2018-12-01
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Colecção: | Hydrology and Earth System Sciences |
Acesso em linha: | https://www.hydrol-earth-syst-sci.net/22/6257/2018/hess-22-6257-2018.pdf |
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