EGU23-14357, updated on 10 Jan 2024
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

CAMELS-SAX: A meteorological and hydrological dataset for spatially distributed modeling of catchments in Saxony

Corina Hauffe1, Clara Brandes1, Kan Lei1, Sofie Pahner1, Philipp Körner2, Rico Kronenberg2, and Niels Schuetze1
Corina Hauffe et al.
  • 1Technical University Dresden, Chair of Hydrology, Dresden, Germany (
  • 2Technical University Dresden, Chair of Meteorology, Dresden, Germany (

Comparative hydrology has been found to deepen our understanding of hydrological processes in catchments and helps to improve the proper evaluation of hydrological models. Recently, the global hydrological community has developed a series of publicly available, large-scale  „CAMELS“-datasets that provide catchment attributes and meteorological time series of catchments on a national level. These datasets include catchment-averaged values of catchment characteristics and meteorological time series and therefore allow only lumped modeling. In this study, we introduce a new dataset "CAMELS-SAX" for large-sample studies in the region of Saxony (Germany), which has a high diversity and heterogeneity of catchment attributes, such as geology and land use. "CAMELS-SAX" consists of meteorological and hydrological time series covering 60 years of data on a daily timestep for more than 200 catchments. The dataset includes spatially distributed catchment attributes and covers an area of about 23.000 km² with undisturbed and anthropogenic-influenced catchments ranging from 1 km² up to 5.000 km², which can be used for spatially distributed modelling. We will provide the standardized dataset for the German Federal State of Saxony for studies evaluating distributed models' performance on a smaller spatial scale. In the presentation, we show an overview of catchment attributes, time series, and hydrological signatures for the subset of undisturbed catchments. In addition, we present the results of a sensitivity analysis of the hydrological behavior caused by climate change.

How to cite: Hauffe, C., Brandes, C., Lei, K., Pahner, S., Körner, P., Kronenberg, R., and Schuetze, N.: CAMELS-SAX: A meteorological and hydrological dataset for spatially distributed modeling of catchments in Saxony, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-14357,, 2023.