Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/essd-17-1461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Collection:
https://doi.org/10.5194/essd-17-1461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Data description article
 | 
10 Apr 2025
Data description article |  | 10 Apr 2025

CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking

Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian

Viewed

Total article views: 4,960 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,037 695 228 4,960 224 312
  • HTML: 4,037
  • PDF: 695
  • XML: 228
  • Total: 4,960
  • BibTeX: 224
  • EndNote: 312
Views and downloads (calculated since 13 Nov 2024)
Cumulative views and downloads (calculated since 13 Nov 2024)

Viewed (geographical distribution)

Total article views: 4,960 (including HTML, PDF, and XML) Thereof 4,876 with geography defined and 84 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Mar 2026
Download
Short summary
This dataset covers 654 rivers all flowing in France. The provided time series and catchment attributes will be of interest to those modelers wishing to analyze hydrological behavior and perform model assessments.
Read more
Share
Collection
Catchment Attributes and Meteorology for Large-sample Studies...
Altmetrics
Final-revised paper
Preprint