Articles | Volume 17, issue 4
https://doi.org/10.5194/essd-17-1551-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1551-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Apr 2025
Data description paper |
| 14 Apr 2025
| 14 Apr 2025
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Julian Koch
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Simon Stisen
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Lars Troldborg
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Anker Lajer Højberg
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Hans Thodsen
Department of Ecoscience, Aarhus University, Aarhus, Denmark
Mark F. T. Hansen
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Raphael J. M. Schneider
Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark
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Short summary
We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3330 catchments (304 gauged). Many catchments in CAMELS-DK are small and at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to the human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically informed modeling frameworks.
We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series...
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