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


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Created: Nov 20, 2024 at 2:57 p.m.
Last updated: Nov 25, 2024 at 5:10 p.m.
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Content types: Multidimensional Content 
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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.

Subject Keywords

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:
End Date:

Content

readme.md

Descriptor

The data is described in detail in our data descriptor publication, referenced in the abstract.

Code

The code to preprocess the data from the raw sources, test it and load it as PyTorch dataloader can be found in our repository.

Data Sources and Disclaimer

The file forcings.nc contains spatiotemporal meteorological data.

  • Meteorological data was derived from the ERA5-Land dataset. The data was downloaded from the Copernicus Climate Change Service. The results contain modified Copernicus Climate Change Service information (2022). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

The file ancillary.nc contains various types of spatial ancillary data.

  • Hydrogeological information was derived from the International Hydrogeological Map of Europe (IHME), version 1.2, © Bundesanstalt für Geowissenschaft und Rohstoffe, 2022.
  • Land Cover information was obtained from the Corine Land Cover Map (CLC), version 2012. Generated using European Union’s Copernicus Land Monitoring Service information; https://doi.org/10.2909/916c0ee7-9711-4996-9876-95ea45ce1d27. The Corine Land Cover Map data was created with funding by the European union. It was adapted and modified by the authors. The authors’ activities are not officially endorsed by the Union.
  • Soil type information was obtained from the dataset European Soil Database Derived Data, created by the European Soil Data Centre with funding by the European union. It was adapted and modified by the authors. The authors’ activities are not officially endorsed by the Union.
  • Orographic information was derived from the European Union Digital Elevation Map (EU-DEM). Generated using European Union’s Copernicus Land Monitoring Service information. The European Union Digital Elevation Map created with funding by the European union. It was adapted and modified by the authors. The authors’ activities are not officially endorsed by the Union.

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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