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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, 00:00 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