In:
Earth System Science Data, Copernicus GmbH, Vol. 14, No. 8 ( 2022-08-17), p. 3715-3741
Abstract:
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).
Type of Medium:
Online Resource
ISSN:
1866-3516
DOI:
10.5194/essd-14-3715-2022
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2022
detail.hit.zdb_id:
2475469-9
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