Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 1
Articles | Volume 30, issue 1
https://doi.org/10.5194/hess-30-119-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-119-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 1
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: 8,192 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,733 1,290 169 8,192 60 124 152
  • HTML: 6,733
  • PDF: 1,290
  • XML: 169
  • Total: 8,192
  • Supplement: 60
  • BibTeX: 124
  • EndNote: 152
Views and downloads (calculated since 08 Sep 2025)
Cumulative views and downloads (calculated since 08 Sep 2025)

Viewed (geographical distribution)

Total article views: 8,192 (including HTML, PDF, and XML) Thereof 8,090 with geography defined and 102 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 15 Aug 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.
Read more
Share