QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany

[摘要] Environmental data are the key to defining and addressingwater quality and quantity challenges at the catchment scale. Here, we presentthe first large-sample water quality data set for 1386 German catchmentscovering a large range of hydroclimatic, topographic, geologic, land use, andanthropogenic settings. QUADICA (water QUAlity, DIscharge and CatchmentAttributes for large-sample studies in Germany) combines water quality withwater quantity data, meteorological and nutrient forcing data, and catchmentattributes. The data set comprises time series of riverine macronutrientconcentrations (species of nitrogen, phosphorus, and organic carbon) anddiffuse nitrogen forcing data (nitrogen surplus,atmospheric deposition, and fixation) at the catchment scale. Time series are generally aggregatedto an annual basis; however, for 140 stations with long-term water qualityand quantity data (more than 20 years), we additionally present monthlymedian 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 catchmentnutrient inputs from point and diffuse sources and characteristics fromtopography, climate, land cover, lithology, and soils. This comprehensive,freely available data collection with a large spatial and temporal coveragecan facilitate large-sample data-driven water quality assessments at thecatchment scale as well as mechanistic modeling studies. QUADICA isavailable at https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1 (Ebeling et al., 2022b) and https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 (Ebeling et al., 2022a).

[学科分类] 眼科学