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.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Apr 2025
Data description article |
| 10 Apr 2025
| 10 Apr 2025
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
Olivier Delaigue
CORRESPONDING AUTHOR
Université Paris-Saclay, INRAE, HYCAR, Antony, France
Guilherme Mendoza Guimarães
Université Paris-Saclay, INRAE, HYCAR, Antony, France
Pierre Brigode
Université Paris-Saclay, INRAE, HYCAR, Antony, France
Université Côte d'Azur, CNRS, OCA, IRD, Géoazur, Sophia-Antipolis, France
Université de Rennes, CNRS, Géosciences Rennes, Rennes, France
Benoît Génot
Université Paris-Saclay, INRAE, HYCAR, Antony, France
now at: U.R.B.S., Saint-Étienne, France
Charles Perrin
Université Paris-Saclay, INRAE, HYCAR, Antony, France
Jean-Michel Soubeyroux
Météo-France, DCSC, Toulouse, France
Bruno Janet
Service central d'hydrométéorologie et d'appui á la prévision des inondations (MTES/DGPR/SCHAPI), Toulouse, France
Nans Addor
Fathom, Bristol, UK
Department of Geography, University of Exeter, Exeter, UK
Vazken Andréassian
Université Paris-Saclay, INRAE, HYCAR, Antony, France
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Total article views: 5,668 (including HTML, PDF, and XML)
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Total article views: 4,412 (including HTML, PDF, and XML)
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Total article views: 1,256 (including HTML, PDF, and XML)
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Cited
15 citations as recorded by crossref.
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento
- Modeling runoff with incomplete data: a comparison of hydrological, deep learning, and hybrid approaches J. Wu et al.
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
- Assessing temporal and spatial generalization of LSTMs for streamflow modeling in French watersheds with and without European training data M. Puche et al.
- Streamflow elasticity as a function of aridity V. Andréassian et al.
- Lowland transboundary river in a cold, semi-arid steppe: review of the Yesil River basin N. Ongdas et al.
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
- Using century-long reanalysis and a rainfall-runoff model to explore multi-decadal variability in catchment hydrology at the European scale P. Brigode & L. Oudin
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al.
- A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling N. Huynh et al.
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al.
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al.
- Past trajectory of a Northwest Europe socio-ecosystem at the land-sea interface: Case study of the northern watersheds of the Bay of Brest over the last 150 years C. Valero et al.
15 citations as recorded by crossref.
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento
- Modeling runoff with incomplete data: a comparison of hydrological, deep learning, and hybrid approaches J. Wu et al.
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
- Assessing temporal and spatial generalization of LSTMs for streamflow modeling in French watersheds with and without European training data M. Puche et al.
- Streamflow elasticity as a function of aridity V. Andréassian et al.
- Lowland transboundary river in a cold, semi-arid steppe: review of the Yesil River basin N. Ongdas et al.
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
- Using century-long reanalysis and a rainfall-runoff model to explore multi-decadal variability in catchment hydrology at the European scale P. Brigode & L. Oudin
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al.
- A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling N. Huynh et al.
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al.
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al.
- Past trajectory of a Northwest Europe socio-ecosystem at the land-sea interface: Case study of the northern watersheds of the Bay of Brest over the last 150 years C. Valero et al.
Saved (final revised paper)
Latest update: 07 May 2026
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.
This dataset covers 654 rivers all flowing in France. The provided time series and catchment...
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