Articles | Volume 30, issue 1
https://doi.org/10.5194/hess-30-119-2026
https://doi.org/10.5194/hess-30-119-2026
Research article
 | 
13 Jan 2026
Research article |  | 13 Jan 2026

Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics

Franziska Clerc-Schwarzenbach and Thiago V. M. do Nascimento

Viewed

Total article views: 3,340 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,910 361 69 3,340 42 41 53
  • HTML: 2,910
  • PDF: 361
  • XML: 69
  • Total: 3,340
  • Supplement: 42
  • BibTeX: 41
  • EndNote: 53
Views and downloads (calculated since 08 Sep 2025)
Cumulative views and downloads (calculated since 08 Sep 2025)

Viewed (geographical distribution)

Total article views: 3,340 (including HTML, PDF, and XML) Thereof 3,151 with geography defined and 189 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Apr 2026
Download
Short summary
This study provides the first assessment of an European meteorological dataset (E-OBS) for hydrological applications. We compared the dataset to meteorological datasets developed at a country level, and tested how the different data influenced the simulation of streamflow with hydrological model. Our findings show that, despite some limitations, the European dataset offers a reasonable basis for hydrological modelling in most river catchments across Europe.
Share