Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 4
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.
Collection:
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 article
 | 
14 Apr 2025
Data description article |  | 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

Viewed

Total article views: 4,962 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,301 836 825 4,962 103 161
  • HTML: 3,301
  • PDF: 836
  • XML: 825
  • Total: 4,962
  • BibTeX: 103
  • EndNote: 161
Views and downloads (calculated since 16 Aug 2024)
Cumulative views and downloads (calculated since 16 Aug 2024)

Viewed (geographical distribution)

Total article views: 4,962 (including HTML, PDF, and XML) Thereof 4,849 with geography defined and 113 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Mar 2026
Download
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.
Read more
Share
Collection
Catchment Attributes and Meteorology for Large-sample Studies...
Altmetrics
Final-revised paper
Preprint