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

Abstract. Environmental data are the key to defining and addressing water quality quantity challenges at catchment scale. Here, we present first large-sample set for 1386 German catchments covering a large range of hydroclimatic, topographic, geologic, land use, anthropogenic settings. QUADICA (water QUAlity, DIscharge Catchment Attributes studies in Germany) combines with data, meteorological nutrient forcing attributes. The comprises time series riverine macronutrient concentrations (species nitrogen, phosphorus, organic carbon) diffuse nitrogen (nitrogen surplus, atmospheric deposition, fixation) Time generally aggregated an annual basis; however, 140 stations long-term (more than 20 years), additionally monthly median discharge concentrations, flow-normalized corresponding mean fluxes as outputs from Weighted Regressions on Time, Discharge, Season (WRTDS). attributes include inputs point sources characteristics topography, climate, cover, lithology, soils. This comprehensive, freely available collection spatial temporal coverage can facilitate data-driven assessments scale well mechanistic modeling studies. is https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1 (Ebeling et al., 2022b) https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 2022a).