Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling


Authors:
Owners: Marc Vischer
Type: Resource
Storage: The size of this resource is 1.8 GB
Created: Nov 20, 2024 at 2:57 p.m.
Last updated: Nov 25, 2024 at 5:10 p.m.
Citation: See how to cite this resource
Content types: Multidimensional Content 
Sharing Status: Public
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Abstract

We present a dataset for rainfall streamflow modeling that is fully spatially resolved with the aim of taking neural network-driven hydrological modeling beyond lumped catchments. To this end, we compiled data covering five river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. The dataset contains meteorological forcings, as well as ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular 9km * 9km grid and contains daily values that span from October 1981 to September 2011. We also provide code (https://gitlab.hhi.fraunhofer.de/vischer/spatial_streamflow_dataprep) to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling. A data descriptor is currently under review.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
53.9000°
East Longitude
19.6000°
South Latitude
46.4000°
West Longitude
5.5000°

Temporal

Start Date: 10/01/1981
End Date: 09/30/2011
Leaflet Map data © OpenStreetMap contributors

Content

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Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
German Federal Ministry for Economic Affairs and Climate Action (BMWK) DAKI-FWS 01MK21009A

How to Cite

Vischer, M., N. O. Felipe, J. Ma (2024). Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling, HydroShare, http://www.hydroshare.org/resource/05d5633a413b4aec93b08a7e61a2abbb

This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.

http://creativecommons.org/licenses/by-nc-sa/4.0/
CC-BY-NC-SA

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