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CCDB - catchment characteristics data base Germany


An older version of this resource https://doi.org/10.4211/hs.82f8094dd61e449a826afdef820a2c19 is available.
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Type: Resource
Storage: The size of this resource is 384.7 MB
Created: Jun 22, 2022 at 9:25 a.m.
Last updated: Jul 22, 2022 at 9:56 a.m.
DOI: 10.4211/hs.88254bd930d1466c85992a7dea6947a4
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Sharing Status: Published
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Abstract

This data set provides geoinformation data, natural and anthropogenic characteristics of 1386 catchments across Germany as part of the QUADICA data set.
The attributes include information on topography, land cover, lithology, soils, climate, hydrology, population density and nutrient sources and heterogeneity. The calculated catchment attributes base on various publicly available and published resources referenced in the metadata of this repository. This repository combines the two existing CCDB repositories for the German catchments (Ebeling, 2021: https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839; Ebeling & Dupas, 2021: https://doi.org/10.4211/hs.c7d4df3ba74647f0aa83ae92be2e294b).
The provided geoinformation includes the delineated catchments, stations and the data used for delineation.
The data set is decribed in detail in a corresponding paper "Water quality, discharge and catchment attributes for large-sample studies in Germany - QUADICA" by Ebeling et al. (https://doi.org/10.5194/essd-2022-6).

This repository includes:

1.) Data table with catchment attributes
2.) Metadata with the description of each catchment attribute and references to original publications and data resources.
3.) GIS-data:
- Shapefile of delineated catchment polygons
- Shapefile of stations.
- Shapefile of modified station locations consistent with the flow accumulation raster using a 100m snapping distance.
- Shapefile of modified river network after manual adaptations used for burning into DEM
- Raster of DEM 100m
- Raster of flow direction used for catchment delineation
- Raster of flow accumulation
4.) Readme for further explanation of the included GIS data

Water quality and quantity data, as well as meteorological and N surplus time series are available in the "QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany" repository (https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1). All repositories use the same unique identifier OBJECTID for each water quality station.

Note: the station locations (stations.shp) do not always fall within the delineated catchments as the catchment outlets were adapted (stations_mod.shp) according the stream network and the topographic flow accumulation grid.

Conditions: Please, reference both the original data publisher and this repository/corresponding paper Ebeling et al. for credits, when using the provided data. Note that the provided data were created with greatest care, but we cannot guarantee correctness of the data.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
55.0618°
East Longitude
16.5984°
South Latitude
46.3269°
West Longitude
4.3156°

Content

Related Resources

This resource is referenced by https://doi.org/10.1029/2020WR028134
The content of this resource references https://doi.org/10.4211/hs.712c1df62aca4ef29688242eeab7940c
The content of this resource references https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721
The content of this resource references http://www.ufz.de/record/dmp/archive/7754
The content of this resource references https://doi.org/10.4211/hs.9b4deeca259b4f7398ce72121b4e2979
The content of this resource references https://doi.org/10.4211/hs.c7d4df3ba74647f0aa83ae92be2e294b
This resource updates and replaces a previous version Ebeling, P., R. Kumar, A. Musolff (2022). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.82f8094dd61e449a826afdef820a2c19
This resource is described by https://essd.copernicus.org/preprints/essd-2022-6/
The content of this resource references https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1

Credits

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Fanny Sarrazin Helmholtz Centre for Environmental Research - UFZ Saxony, DE
Olaf Büttner Helmholtz Centre for Environmental Research - UFZ Saxony Anhalt, DE
Tam Nguyen UFZ Sachsen, DE
Joni Dehaspe UFZ - Helmholtz-Centre for Environmental Research GmbH
Teresa Nitz UFZ - Helmholtz-Centre for Environmental Research GmbH
Thomas Grau UFZ - Helmholtz-Centre for Environmental Research GmbH
Lukas Knoll Justus Liebig University Giessen
Michael Weber UFZ - Helmholtz-Centre for Environmental Research GmbH

How to Cite

Ebeling, P., R. Kumar, A. Musolff (2022). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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