Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter



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)
Date made available27 Feb 2020
PublisherWageningen University & Research
Geographical coverageRegge, The Netherlands


  • Conceptual Hydrological model
  • Ensemble Kalman Filter (EnKF)
  • Lowland Catchments
  • State Estimation
  • The Wageningen Lowland
  • Runoff Simulator (WALRUS)
  • Unscented Kalman Filter (UKF)

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