Data underlying the research of: Improving realism of high-resolution hydrological modeling with anthropogenic water use: a study on the Rhine basin

DOI:10.4121/1a382dde-616e-4894-a4b2-222ec45a8a5d.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/1a382dde-616e-4894-a4b2-222ec45a8a5d

Datacite citation style

Purnamasari, Devi ; van Verseveld, Willem; Buitink, Joost; Sperna Weiland, Frederiek; Dalmijn, Brendan et. al. (2025): Data underlying the research of: Improving realism of high-resolution hydrological modeling with anthropogenic water use: a study on the Rhine basin. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1a382dde-616e-4894-a4b2-222ec45a8a5d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The data contains simulated daily discharge data from wflow_sbm version 0.8.1 which allows for the estimation of water demand and abstractions for urban, industrial, livestock, and irrigation at a spatially gridded scale and daily temporal resolution. The model was run from 1990 to 2019 to investigate the impact of incorporating human water use on river discharge of the Rhine.

History

  • 2025-07-04 first online, published, posted

Publisher

4TU.ResearchData

Format

zipped .csv files

Funding

  • STARS4Water (grant code 101059372) [more info...] European Union

Organizations

Department of Inland Water Systems, Deltares;
Hydrology and Environmental Hydraulics Group, Department of Environmental Sciences, Wageningen University and Research

DATA

Files (3)