Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3099-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-3099-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
Data description article
 | 
08 May 2026
Data description article |  | 08 May 2026

Spatially resolved meteorological and ancillary data in Central Europe for rainfall streamflow modeling

Marc Aurel Vischer, Noelia Otero, and Jackie Ma

Viewed

Total article views: 1,166 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
841 248 77 1,166 68 70
  • HTML: 841
  • PDF: 248
  • XML: 77
  • Total: 1,166
  • BibTeX: 68
  • EndNote: 70
Views and downloads (calculated since 11 Nov 2025)
Cumulative views and downloads (calculated since 11 Nov 2025)

Viewed (geographical distribution)

Total article views: 1,166 (including HTML, PDF, and XML) Thereof 1,107 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 04 Aug 2026
Download
Short summary
We combined meteorological data with additional information (soil, rock, land cover and elevation) on a single grid that spans five river basins in central Europe over 45 years. Data was not aggregated within river catchments so as to retain the full spatial covariance. It can be efficiently processed in parallel and has been used in our recent study on end-to-end rainfall streamflow modeling with neural networks. We hope to promote further development of spatially resolved modeling approaches.
Read more
Share
Altmetrics
Final-revised paper
Preprint