CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

Liu, Jun; Koch, Julian; Stisen, Simon; Troldborg, Lars; Højberg, Anker Lajer; Thodsen, Hans; Hansen, Mark F. T.; Schneider, Raphael J. M.

doi:https://doi.org/10.5194/essd-17-1551-2025

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.

https://doi.org/10.5194/essd-17-1551-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 4

Data description paper

|

14 Apr 2025

Data description paper |

| 14 Apr 2025

CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider

Data sets

CAMELS-DK: Hydrometeorological Time Series and Landscape Attributes for 3330 Catchments in Denmark Julian Koch et al. https://doi.org/10.22008/FK2/AZXSYP

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.