TY - DATA
T1 - Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter
PY - 2020/02/27
AU - WUR Data Librarian
AU - Y. (Yiqun) Sun
UR - 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
DO - 10.4121/uuid:dfe80f20-2031-4d0c-a7f5-82a840248c20
KW - Conceptual Hydrological model
KW - Ensemble Kalman Filter (EnKF)
KW - Lowland Catchments
KW - State Estimation
KW - The Wageningen Lowland Runoff Simulator (WALRUS)
KW - Unscented Kalman Filter (UKF)
N2 - 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)
ER -