Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/essd-18-691-2026
Licence creative commons licence
Title (Primary) QUADICA v2: extending the large-sample data set for water QUAlity, DIscharge and Catchment Attributes in Germany
Author Ebeling, P.; Hubig, A.; Wachholz, A.; Scharfenberger, U.; Haug, S.; Nguyen, V.T. ORCID logo ; Sarrazin, F.; Batool, M. ORCID logo ; Musolff, A.; Kumar, R. ORCID logo
Source Titel Earth System Science Data
Year 2026
Department CHS; HDG
Volume 18
Issue 1
Page From 691
Page To 712
Language englisch
Topic T5 Future Landscapes
Data and Software links https://doi.org/10.4211/hs.c2866cd416b94ca386deb5758834311f
Abstract The QUADICA version 2 dataset significantly expands upon the first version of QUADICA (water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany), by incorporating more recent data, additional water quality and driver variables, and more stations with concurrent water quantity data. Specifically, QUADICA v2 extends the water quality time series of the first version up to 2020 and introduces new variables, including water temperature, oxygen, and chlorophyll a concentrations, as well as concentrations of ammonium, sulfate, and geogenic solutes like calcium. These additions enable a more comprehensive understanding of ecological impacts, including eutrophication effects, and water quality dynamics across catchments. Furthermore, the number of stations with both water quality and quantity data has effectively doubled – now covering 637 out of the total 1386 stations – by integrating QUADICA with the CAMELS-DE and Caravan-DE datasets. The inclusion of time series on point and diffuse sources of both nitrogen and phosphorus allows for more thorough investigations of driver-response relationships and nutrient export from catchments. To facilitate visualization and exploration of QUADICA, we provide a user-friendly, interactive R application alongside the online data repository, as well as a browser-based web app for inspecting the dataset. This makes QUADICA v2 a comprehensive dataset that spans from driver to impact variables, offering a valuable resource for researchers and practitioners.
Ebeling, P., Hubig, A., Wachholz, A., Scharfenberger, U., Haug, S., Nguyen, V.T., Sarrazin, F., Batool, M., Musolff, A., Kumar, R. (2026):
QUADICA v2: extending the large-sample data set for water QUAlity, DIscharge and Catchment Attributes in Germany
Earth Syst. Sci. Data 18 (1), 691 - 712 10.5194/essd-18-691-2026