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

dataset
posted on 27.02.2020 by Albrecht Weerts, Y. (Yiqun) Sun
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)

History

Contributors

Wageningen University & Research; Hohai University, China

Publisher

4TU.Centre for Research Data

Time coverage

hourly timestep

Geolocation

Regge catchment

Geolocation Longitude

6.538

Geolocation Latitude

52.194

Format

media types: application/x-netcdf, application/x-tar, application/zip, text/plain

Exports