Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4673-2024
https://doi.org/10.5194/essd-16-4673-2024
Data description paper
 | 
17 Oct 2024
Data description paper |  | 17 Oct 2024

Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019)

Fanny J. Sarrazin, Sabine Attinger, and Rohini Kumar

Related authors

Century-long reconstruction of gridded phosphorus surplus across Europe (1850–2019)
Masooma Batool, Fanny J. Sarrazin, and Rohini Kumar
Earth Syst. Sci. Data, 17, 881–916, https://doi.org/10.5194/essd-17-881-2025,https://doi.org/10.5194/essd-17-881-2025, 2025
Short summary
Technical note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty
Trevor Page, Paul Smith, Keith Beven, Francesca Pianosi, Fanny Sarrazin, Susana Almeida, Liz Holcombe, Jim Freer, Nick Chappell, and Thorsten Wagener
Hydrol. Earth Syst. Sci., 27, 2523–2534, https://doi.org/10.5194/hess-27-2523-2023,https://doi.org/10.5194/hess-27-2523-2023, 2023
Short summary
QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany
Pia Ebeling, Rohini Kumar, Stefanie R. Lutz, Tam Nguyen, Fanny Sarrazin, Michael Weber, Olaf Büttner, Sabine Attinger, and Andreas Musolff
Earth Syst. Sci. Data, 14, 3715–3741, https://doi.org/10.5194/essd-14-3715-2022,https://doi.org/10.5194/essd-14-3715-2022, 2022
Short summary
Bending of the concentration discharge relationship can inform about in-stream nitrate removal
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
Short summary
V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions
Fanny Sarrazin, Andreas Hartmann, Francesca Pianosi, Rafael Rosolem, and Thorsten Wagener
Geosci. Model Dev., 11, 4933–4964, https://doi.org/10.5194/gmd-11-4933-2018,https://doi.org/10.5194/gmd-11-4933-2018, 2018
Short summary

Related subject area

Domain: ESSD – Land | Subject: Hydrology
A worldwide event-based debris flow barrier dam dataset from 1800 to 2023
Haiguang Cheng, Kaiheng Hu, Shuang Liu, Xiaopeng Zhang, Hao Li, Qiyuan Zhang, Lan Ning, Manish Raj Gouli, Pu Li, Anna Yang, Peng Zhao, Junyu Liu, and Li Wei
Earth Syst. Sci. Data, 17, 1573–1593, https://doi.org/10.5194/essd-17-1573-2025,https://doi.org/10.5194/essd-17-1573-2025, 2025
Short summary
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data, 17, 1551–1572, https://doi.org/10.5194/essd-17-1551-2025,https://doi.org/10.5194/essd-17-1551-2025, 2025
Short summary
An in situ daily dataset for benchmarking temporal variability of groundwater recharge
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data, 17, 1515–1528, https://doi.org/10.5194/essd-17-1515-2025,https://doi.org/10.5194/essd-17-1515-2025, 2025
Short summary
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian
Earth Syst. Sci. Data, 17, 1461–1479, https://doi.org/10.5194/essd-17-1461-2025,https://doi.org/10.5194/essd-17-1461-2025, 2025
Short summary
Features of Italian large dams and their upstream catchments
Giulia Evangelista, Paola Mazzoglio, Daniele Ganora, Francesca Pianigiani, and Pierluigi Claps
Earth Syst. Sci. Data, 17, 1407–1426, https://doi.org/10.5194/essd-17-1407-2025,https://doi.org/10.5194/essd-17-1407-2025, 2025
Short summary

Cited articles

Arle, J., Blondzik, K., Claussen, U., Duffek, A., Grimm, S., Hilliges, F., Kirschbaum, B., Kirst, I., Koch, D., Koschorreck, J., Lepom, P., Leujak, W., Mohaupt, V., Naumann, S., Pirntke, U., Rechenberg, J., Schilling, P., Ullrich, A., Wellmitz, J., Werner, S., and Wolter, R.: Waters in Germany: Status and assessment German environment, German Environmental Agency (UBA), Dessau-Roßlau, Germany, https://www.umweltbundesamt.de/en/publikationen/waters-in-germany (last access: 3 October 2023), 2017. a, b
Ascott, M. J., Gooddy, D. C., Wang, L., Stuart, M. E., Lewis, M. A., Ward, R. S., and Binley, A. M.: Global patterns of nitrate storage in the vadose zone, Nat. Commun., 8, 1416, https://doi.org/10.1038/s41467-017-01321-w, 2017. a
Basu, N. B., Meter, K. J. V., Byrnes, D. K., Cappellen, P. V., Brouwer, R., Jacobsen, B. H., Jarsjö, J., Rudolph, D. L., Cunha, M. C., Nelson, N., Bhattacharya, R., Destouni, G., and Olsen, S. B.: Managing nitrogen legacies to accelerate water quality improvement, Nat. Geosci., 15, 97–105, https://doi.org/10.1038/s41561-021-00889-9, 2022. a
Batool, M., Sarrazin, F. J., Attinger, S., Basu, N. B., Van Meter, K., and R., K.: Long-term annual soil nitrogen surplus across Europe (1850–2019), Scientific Data, 9, 612, https://doi.org/10.1038/s41597-022-01693-9, 2022. a, b
Behrendt, H., Huber, P., Kornmilch, M., Opitz, D., Schmoll, O., Scholz, G., Uebe, R., Pagenkopf, W.-G., Bach, M., and Schweikart, U.: Nutrient emissions into River Basins of Germany, Texte 23/2000, German Environmental Agency (UBA), Berlin, Germany, https://www.umweltbundesamt.de/en/publikationen/nutrient-emissions-into-river-basins-of-germany (last access: 7 November 2021), 2000. a, b, c
Download
Short summary
Nitrogen (N) and phosphorus (P) contamination of water bodies is a long-term issue due to the long history of N and P inputs to the environment and their persistence. Here, we introduce a long-term and high-resolution dataset of N and P inputs from wastewater (point sources) for Germany, combining data from different sources and conceptual understanding. We also account for uncertainties in modelling choices, thus facilitating robust long-term and large-scale water quality studies.
Share
Altmetrics
Final-revised paper
Preprint