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...
| Published in: | Hydrology and Earth System Sciences |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-09-01
|
| Online Access: | http://www.hydrol-earth-syst-sci.net/16/3435/2012/hess-16-3435-2012.pdf |
