Pré-Publication, Document De Travail Année : 2024

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

Nans Addor

Résumé

Over the last decade, large-sample approaches, i.e. based on large catchment sets, have become increasingly popular in hydrological studies. Efforts were made to assemble and disseminate national catchment datasets. This article aims to add a stone to the construction of a large international database of catchments by proposing the CAMELS-FR dataset, a contribution to the CAMELS initiative (Catchment attributes and meteorology for large-sample studies). The first version presented here gathers hydroclimatic data and physical attributes for a set of 654 catchments in France. These catchments cover a wide spectrum of hydroclimatic conditions (from oceanic to continental, mountainous or Mediterranean conditions), and are considered to have limited human influence. Data include time series of daily streamflow (with at least 30 years over the 1970–2021 period; also aggregated to monthly and yearly time steps) and of eleven catchment-scale daily climate variables (including precipitation, potential evaporation, and air temperature), as well as a total of 255 catchments attributes organised in ten classes (e.g. geology, soil, land cover, etc.). River flow time series were quality-checked. Along with the database itself, two graphical tools are proposed, namely dynamic graphs to visualize time series and graphical fact sheets to summarize the main catchments characteristics. Care was taken to provide as many metadata as possible to help users interpret their results based on this dataset. We intend to update the database regularly to include new available data and account for end-users' feedbacks.

Recherche Data Gouv

Cite 10.57745/WH7FJR Jeu de données Delaigue, Olivier; Guimarães, Guilherme Mendoza; Brigode, Pierre; Génot, Benoît; Perrin, Charles; Andréassian, Vazken, 2024, "CAMELS-FR dataset", https://doi.org/10.57745/WH7FJR, Recherche Data Gouv, V2

CAMELS-FR dataset
Recherche Data Gouv

Cite 10.57745/HBQWP5 Image Delaigue, Olivier; Génot, Benoît; Guimarães, Guilherme Mendoza, 2024, "CAMELS-FR time series dynamic graphs", https://doi.org/10.57745/HBQWP5, Recherche Data Gouv, V1

CAMELS-FR time series dynamic graphs
Recherche Data Gouv

Cite 10.57745/KK2SVJ Image Delaigue, Olivier; Brigode, Pierre; Génot, Benoît; Lobligeois, Florent; Bourgin, Pierre-Yves; Guimarães, Guilherme Mendoza, 2024, "CAMELS-FR graphical fact sheets", https://doi.org/10.57745/KK2SVJ, Recherche Data Gouv, V1

CAMELS-FR graphical fact sheets
HAL

Est une version de hal-05028312 Article Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, et al.. CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking. Earth System Science Data, 2025, 17 (4), pp.1461-1479. ⟨10.5194/essd-17-1461-2025⟩. ⟨hal-05028312⟩

Version publiée

Dates et versions

hal-04790476 , version 1 (19-11-2024)

Identifiants

Citer

Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, et al.. CAMELS-FR dataset: A large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking. 2024. ⟨hal-04790476⟩
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