Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3715-2022
© Author(s) 2022. 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-14-3715-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
17 Aug 2022
Data description paper |
| 17 Aug 2022
| 17 Aug 2022
QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany
Department of Hydrogeology, Helmholtz Centre for Environmental
Research – UFZ, Leipzig 04318, Germany
Rohini Kumar
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig 04318, Germany
Stefanie R. Lutz
Department of Hydrogeology, Helmholtz Centre for Environmental
Research – UFZ, Leipzig 04318, Germany
Copernicus Institute of Sustainable Development, Utrecht 3584 CB, the
Netherlands
Tam Nguyen
Department of Hydrogeology, Helmholtz Centre for Environmental
Research – UFZ, Leipzig 04318, Germany
Fanny Sarrazin
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig 04318, Germany
Michael Weber
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig 04318, Germany
Olaf Büttner
Department of Aquatic Ecosystems Analysis and Management, Helmholtz
Centre for Environmental Research – UFZ, Magdeburg 39114, Germany
Sabine Attinger
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig 04318, Germany
Andreas Musolff
Department of Hydrogeology, Helmholtz Centre for Environmental
Research – UFZ, Leipzig 04318, Germany
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Jie Yang, Qiaoyu Wang, Ingo Heidbüchel, Chunhui Lu, Yueqing Xie, Andreas Musolff, and Jan H. Fleckenstein
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Robert Schweppe, Stephan Thober, Sebastian Müller, Matthias Kelbling, Rohini Kumar, Sabine Attinger, and Luis Samaniego
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Joni Dehaspe, Fanny Sarrazin, Rohini Kumar, Jan H. Fleckenstein, and Andreas Musolff
Hydrol. Earth Syst. Sci., 25, 6437–6463, https://doi.org/10.5194/hess-25-6437-2021, https://doi.org/10.5194/hess-25-6437-2021, 2021
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Benedikt J. Werner, Oliver J. Lechtenfeld, Andreas Musolff, Gerrit H. de Rooij, Jie Yang, Ralf Gründling, Ulrike Werban, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 25, 6067–6086, https://doi.org/10.5194/hess-25-6067-2021, https://doi.org/10.5194/hess-25-6067-2021, 2021
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Bernd Schalge, Gabriele Baroni, Barbara Haese, Daniel Erdal, Gernot Geppert, Pablo Saavedra, Vincent Haefliger, Harry Vereecken, Sabine Attinger, Harald Kunstmann, Olaf A. Cirpka, Felix Ament, Stefan Kollet, Insa Neuweiler, Harrie-Jan Hendricks Franssen, and Clemens Simmer
Earth Syst. Sci. Data, 13, 4437–4464, https://doi.org/10.5194/essd-13-4437-2021, https://doi.org/10.5194/essd-13-4437-2021, 2021
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Alraune Zech, Peter Dietrich, Sabine Attinger, and Georg Teutsch
Hydrol. Earth Syst. Sci., 25, 1–15, https://doi.org/10.5194/hess-25-1-2021, https://doi.org/10.5194/hess-25-1-2021, 2021
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Short summary
Environmental data are critical for understanding and managing ecosystems, including the mitigation of water quality degradation. To increase data availability, we present the first large-sample water quality data set (QUADICA) of riverine macronutrient concentrations combined with water quantity, meteorological, and nutrient forcing data as well as catchment attributes. QUADICA covers 1386 German catchments to facilitate large-sample data-driven and modeling water quality assessments.
Environmental data are critical for understanding and managing ecosystems, including the...
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