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 article
| 
14 Apr 2025
Data description article |
| 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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Cited
15 citations as recorded by crossref.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al. https://doi.org/10.5194/essd-17-5745-2025
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al. https://doi.org/10.11922/11-6035.csd.2025.0144.zh
- A Global Benchmark of the Vector-Based Routing Model MizuRoute: Similarities and Divergent Patterns in Simulated River Discharge S. Xu et al. https://doi.org/10.3390/w18040485
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al. https://doi.org/10.5194/hess-30-2337-2026
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento https://doi.org/10.5194/hess-30-119-2026
- Caravan-Qual: A global scale integration of stream water quality observations into a large-sample hydrology dataset E. Jones et al. https://doi.org/10.1038/s41597-026-07352-7
- Streamflow elasticity as a function of aridity V. Andréassian et al. https://doi.org/10.5194/hess-30-1865-2026
- CAMELS-FI: hydrometeorological time series and landscape properties for 320 catchments in Finland I. Seppä et al. https://doi.org/10.5194/essd-18-4745-2026
- Spatially resolved meteorological and ancillary data in Central Europe for rainfall streamflow modeling M. Vischer et al. https://doi.org/10.5194/essd-18-3099-2026
- Drought dynamics across the hydrological cycle – an extensive validation of the National Hydrological Model of Denmark R. Schneider et al. https://doi.org/10.5194/hess-30-4019-2026
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al. https://doi.org/10.2166/nh.2025.075
- Spatially resolved rainfall streamflow modeling in central Europe M. Vischer et al. https://doi.org/10.5194/hess-29-5233-2025
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al. https://doi.org/10.1016/j.ejrh.2026.103161
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al. https://doi.org/10.5194/hess-29-5477-2025
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al. https://doi.org/10.5194/hess-29-5791-2025
15 citations as recorded by crossref.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al. https://doi.org/10.5194/essd-17-5745-2025
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al. https://doi.org/10.11922/11-6035.csd.2025.0144.zh
- A Global Benchmark of the Vector-Based Routing Model MizuRoute: Similarities and Divergent Patterns in Simulated River Discharge S. Xu et al. https://doi.org/10.3390/w18040485
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al. https://doi.org/10.5194/hess-30-2337-2026
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento https://doi.org/10.5194/hess-30-119-2026
- Caravan-Qual: A global scale integration of stream water quality observations into a large-sample hydrology dataset E. Jones et al. https://doi.org/10.1038/s41597-026-07352-7
- Streamflow elasticity as a function of aridity V. Andréassian et al. https://doi.org/10.5194/hess-30-1865-2026
- CAMELS-FI: hydrometeorological time series and landscape properties for 320 catchments in Finland I. Seppä et al. https://doi.org/10.5194/essd-18-4745-2026
- Spatially resolved meteorological and ancillary data in Central Europe for rainfall streamflow modeling M. Vischer et al. https://doi.org/10.5194/essd-18-3099-2026
- Drought dynamics across the hydrological cycle – an extensive validation of the National Hydrological Model of Denmark R. Schneider et al. https://doi.org/10.5194/hess-30-4019-2026
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al. https://doi.org/10.2166/nh.2025.075
- Spatially resolved rainfall streamflow modeling in central Europe M. Vischer et al. https://doi.org/10.5194/hess-29-5233-2025
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al. https://doi.org/10.1016/j.ejrh.2026.103161
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al. https://doi.org/10.5194/hess-29-5477-2025
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al. https://doi.org/10.5194/hess-29-5791-2025
Saved (final revised paper)
Latest update: 24 Jul 2026
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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