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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Cited
10 citations as recorded by crossref.
- A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022) X. Chen et al. 10.5194/essd-15-4463-2023
- Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions K. Chandra Roy et al. 10.1016/j.gsd.2024.101101
- CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data G. Sterle et al. 10.5194/hess-28-611-2024
- Toward Understanding of Long‐Term Nitrogen Transport and Retention Dynamics Across German Catchments T. Nguyen et al. 10.1029/2022GL100278
- Stoichiometry on the edge—humans induce strong imbalances of reactive C:N:P ratios in streams A. Wachholz et al. 10.1088/1748-9326/acc3b1
- An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China J. Lin et al. 10.5194/essd-16-1137-2024
- Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019) F. Sarrazin et al. 10.5194/essd-16-4673-2024
- Uncertainty in Environmental Micropollutant Modeling H. Ahkola et al. 10.1007/s00267-024-01989-z
- Long-term annual soil nitrogen surplus across Europe (1850–2019) M. Batool et al. 10.1038/s41597-022-01693-9
- Winter post-droughts amplify extreme nitrate concentrations in German rivers F. Saavedra et al. 10.1088/1748-9326/ad19ed
8 citations as recorded by crossref.
- A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022) X. Chen et al. 10.5194/essd-15-4463-2023
- Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions K. Chandra Roy et al. 10.1016/j.gsd.2024.101101
- CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data G. Sterle et al. 10.5194/hess-28-611-2024
- Toward Understanding of Long‐Term Nitrogen Transport and Retention Dynamics Across German Catchments T. Nguyen et al. 10.1029/2022GL100278
- Stoichiometry on the edge—humans induce strong imbalances of reactive C:N:P ratios in streams A. Wachholz et al. 10.1088/1748-9326/acc3b1
- An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China J. Lin et al. 10.5194/essd-16-1137-2024
- Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019) F. Sarrazin et al. 10.5194/essd-16-4673-2024
- Uncertainty in Environmental Micropollutant Modeling H. Ahkola et al. 10.1007/s00267-024-01989-z
Latest update: 13 Dec 2024
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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