Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5625-2024
https://doi.org/10.5194/essd-16-5625-2024
Data description paper
 | 
09 Dec 2024
Data description paper |  | 09 Dec 2024

CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany

Ralf Loritz, Alexander Dolich, Eduardo Acuña Espinoza, Pia Ebeling, Björn Guse, Jonas Götte, Sibylle K. Hassler, Corina Hauffe, Ingo Heidbüchel, Jens Kiesel, Mirko Mälicke, Hannes Müller-Thomy, Michael Stölzle, and Larisa Tarasova

Data sets

CAMELS-DE: hydrometeorological time series and attributes for 1582 catchments in Germany A. Dolich et al. https://doi.org/10.5281/zenodo.13837553

Model code and software

Hy2DL: Hybrid Hydrological modeling using Deep Learning methods Eduardo Acuña Espinoza et al. https://github.com/KIT-HYD/Hy2DL/tree/v1.1

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Short summary
The CAMELS-DE dataset features data from 1582 streamflow gauges across Germany, with records spanning from 1951 to 2020. This comprehensive dataset, which includes time series of up to 70 years (median 46 years), enables advanced research on water flow and environmental trends and supports the development of hydrological models.
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