Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.5194/essd-14-3715-2022 |
Licence  |
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| Title (Primary) | QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany |
| Author | Ebeling, P.; Kumar, R.
; Lutz, S.R.; Nguyen, V.T.
; Sarrazin, F.; Weber, M.; Büttner, O.; Attinger, S.; Musolff, A. |
| Source Titel | Earth System Science Data |
| Year | 2022 |
| Department | ASAM; CHS; HDG |
| Volume | 14 |
| Issue | 8 |
| Page From | 3715 |
| Page To | 3741 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1 https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 |
| Abstract | Environmental data are the key to defining and addressing water quality and quantity challenges at the catchment scale. Here, we present the first large-sample water quality data set for 1386 German catchments covering a large range of hydroclimatic, topographic, geologic, land use, and anthropogenic settings. QUADICA (water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany) combines water quality with water quantity data, meteorological and nutrient forcing data, and catchment attributes. The data set comprises time series of riverine macronutrient concentrations (species of nitrogen, phosphorus, and organic carbon) and diffuse nitrogen forcing data (nitrogen surplus, atmospheric deposition, and fixation) at the catchment scale. Time series are generally aggregated to an annual basis; however, for 140 stations with long-term water quality and quantity data (more than 20 years), we additionally present monthly median discharge and nutrient concentrations, flow-normalized concentrations, and corresponding mean fluxes as outputs from Weighted Regressions on Time, Discharge, and Season (WRTDS). The catchment attributes include catchment nutrient inputs from point and diffuse sources and characteristics from topography, climate, land cover, lithology, and soils. This comprehensive, freely available data collection with a large spatial and temporal coverage can facilitate large-sample data-driven water quality assessments at the catchment scale as well as mechanistic modeling studies. QUADICA is available at https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1 (Ebeling et al., 2022b) and https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 (Ebeling et al., 2022a). |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26488 |
| Ebeling, P., Kumar, R., Lutz, S.R., Nguyen, V.T., Sarrazin, F., Weber, M., Büttner, O., Attinger, S., Musolff, A. (2022): QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany Earth Syst. Sci. Data 14 (8), 3715 - 3741 10.5194/essd-14-3715-2022 |
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