Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

CCDB - catchment characteristics data base Germany


A newer version of this resource https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4 is available that replaces this version.
An older version of this resource https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839 is available.
Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 6.2 MB
Created: Dec 02, 2021 at 5:39 p.m.
Last updated: Jan 05, 2022 at 9:34 a.m. (Metadata update)
Published date: Jan 05, 2022 at 9:34 a.m.
DOI: 10.4211/hs.82f8094dd61e449a826afdef820a2c19
Citation: See how to cite this resource
Sharing Status: Published
Views: 1189
Downloads: 108
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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.
The data set from 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)
A corresponding paper "Water quality, discharge and catchment attributes for large-sample studies in Germany - QUADICA" by Ebeling et al. describing the QUADICA data set in detail will be made available in the Journal Earth System Science Data (https://www.earth-system-science-data.net/)

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.) Shapefile with delineated catchment polygons
4.) Shapefile with stations.

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.26e8238f0be14fa1a49641cd8a455e29) All repositories use the same unique identifier OBJECTID for each water quality station.

Note: the stations do not always fall within the delineated catchments as the catchment outlets were adapted 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.

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 has been replaced by a newer version Ebeling, P., R. Kumar, A. Musolff (2022). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4
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
This resource updates and replaces a previous version Ebeling, P. (2021). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839
The content of this resource references https://doi.org/10.4211/hs.c7d4df3ba74647f0aa83ae92be2e294b

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
Tam Nguyen UFZ Sachsen, DE
Olaf Büttner Helmholtz Centre for Environmental Research - UFZ Saxony Anhalt, 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.82f8094dd61e449a826afdef820a2c19

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

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

Comments

There are currently no comments

New Comment

required