Articles | Volume 16, issue 9
https://doi.org/10.5194/hess-16-3435-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-16-3435-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy
O. Rakovec
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands
A. H. Weerts
Deltares, P.O. Box 177, 2600 MH, Delft, The Netherlands
P. Hazenberg
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands
now at: Atmospheric Sciences Department, The University of Arizona, Tucson, AZ, USA
P. J. J. F. Torfs
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands
R. Uijlenhoet
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands
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3 citations as recorded by crossref.
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- Regional evapotranspiration estimation based on a two-layer remote-sensing scheme in Shahe River basin J. Yin & H. Wang 10.1088/1755-1315/17/1/012141
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