the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAMELS-DK: Hydrometeorological Time Series and Landscape Attributes for 3330 Catchments in Denmark
Abstract. Large samples of hydrometeorological time series and catchment attributes are critical for improving the understanding of complex hydrological processes, hydrological model development and performance benchmarking. CAMELS (Catchment Attributes and Meteorological time series for Large Samples) datasets have been developed in several countries and regions around the world, providing valuable data sources and testbeds for hydrological analysis and new frontiers in data-driven hydrological modelling. Regarding the lack of samples from low-land, groundwater-dominated, small-sized catchments, we develop an extensive repository of a CAMELS-style dataset for Denmark (CAMELS-DK). This CAMELS addition is the first containing both, gauged and ungauged catchments as well as detailed groundwater information. The dataset provides dynamic and static variables for 3330 catchments from various hydrogeological datasets, meteorological observations, and a well-established national-scale hydrological model. The dataset is enhanced with streamflow observations in 304 of those catchments. The spatially dense and full spatial coverage, supplying data for 3330 catchments, instead of only gauged catchments, together with the addition of simulation data from a distributed, process-based model enhance the applicability of such CAMELS data. This is especially relevant for the development of data-driven and hybrid physical informed modelling frameworks. We also provide quantities related to human impact on the hydrological system in Denmark, such as groundwater abstraction and irrigation. The CAMELS-DK dataset is freely available at https://doi.org/10.22008/FK2/AZXSYP (Koch et al., 2024).
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Status: open (until 28 Sep 2024)
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CC1: 'Comment on essd-2024-292', Ather Abbas, 20 Aug 2024
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Thanks for the paper and data.
There is a similar dataset at https://zenodo.org/records/7962379 by one of the co-authors (Julian Koch). Can the authors please clarify that if this dataset is an updated version of the one provided at zenodo in terms of observed streamflow?
Regards,
Ather Abbas
Citation: https://doi.org/10.5194/essd-2024-292-CC1 -
AC1: 'Reply on CC1', Jun Liu, 20 Aug 2024
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Yes, the dataset you mention is related. The Caravan extension published on Zenodo is connected to a manuscript (https://doi.org/10.34194/geusb.v49.8292) and a dataset (https://doi.org/10.22008/FK2/YCQXTR). The current dataset associated to this manuscript, however, is more extensive, including both, simulated and observed data and the temporal coverage is updated and extends beyond 2019. Another major difference is that the current dataset contains information for all ~3300 catchments in Denmark, and not only the ~300 gauged catchments. In addition, the number of static catchment attributes has been expanded substantially.
Citation: https://doi.org/10.5194/essd-2024-292-AC1
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AC1: 'Reply on CC1', Jun Liu, 20 Aug 2024
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Data sets
CAMELS-DK: Hydrometeorological Time Series and Landscape Attributes for 3330 Catchments in Denmark Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider https://doi.org/10.22008/FK2/AZXSYP
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