%0 Generic
%A Data Librarian, WUR
%A Sun, Y. (Yiqun)
%D 2020
%T Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter
%U https://data.4tu.nl/articles/dataset/Data_underlying_the_research_of_Improving_forecast_skill_of_lowland_hydrological_models_using_ensemble_Kalman_filter_and_unscented_Kalman_filter/12717392/1
%R 10.4121/uuid:dfe80f20-2031-4d0c-a7f5-82a840248c20
%K Conceptual Hydrological model
%K Ensemble Kalman Filter (EnKF)
%K Lowland Catchments
%K State Estimation
%K The Wageningen Lowland Runoff Simulator (WALRUS)
%K Unscented Kalman Filter (UKF)
%X research dataset underlying peer reviewed manuscript containing hydrological streamflow forecasts (using perfect forcing) covering a period of 10 years to determine the benefits of streamflow assimilation using the WALRUS hydrological model for a Dutch lowland area (Regge catchment)
%I 4TU.Centre for Research Data