State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy
This paper presents a study on the optimal setup for discharge assimilation within a spatially distributed hydrological model. The Ensemble Kalman filter (EnKF) is employed to update the grid-based distributed states of such an hourly spatially distributed version of the HBV-96 model. By using a phy...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Copernicus Publications
2012-09-01
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| Edice: | Hydrology and Earth System Sciences |
| On-line přístup: | http://www.hydrol-earth-syst-sci.net/16/3435/2012/hess-16-3435-2012.pdf |
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