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

Dataset

Description

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

Cite this

Weerts, A. (Creator), Sun, Y. (Creator) (27 Feb 2020). Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter. Wageningen University & Research. 10.4121/uuid:dfe80f20-2031-4d0c-a7f5-82a840248c20