Articles | Volume 17, issue 5
https://doi.org/10.5194/cp-17-1857-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-17-1857-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Sep 2021
Research article |
| 21 Sep 2021
| 21 Sep 2021
FYRE Climate: a high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012
Alexandre Devers
INRAE, UR RiverLy, 5 rue de la Doua, CS 20244, 69625 Villeurbanne CEDEX, France
Compagnie Nationale du Rhône (CNR), 2 rue André Bonin, 69004 Lyon, France
Jean-Philippe Vidal
CORRESPONDING AUTHOR
INRAE, UR RiverLy, 5 rue de la Doua, CS 20244, 69625 Villeurbanne CEDEX, France
Claire Lauvernet
INRAE, UR RiverLy, 5 rue de la Doua, CS 20244, 69625 Villeurbanne CEDEX, France
Olivier Vannier
Compagnie Nationale du Rhône (CNR), 2 rue André Bonin, 69004 Lyon, France
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- Evaluation of Five Reanalysis Products over France: Implications for Agro-Climatic Studies M. Er-Rondi et al. https://doi.org/10.3390/app14031204
- Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009) C. Legrand et al. https://doi.org/10.5194/hess-28-2139-2024
- Predicting Air Temperature Patterns in Milan Using Crowdsourced Measurements and Earth Observation Data M. Žgela et al. https://doi.org/10.3390/rs17213520
- Improving precipitation interpolation using anisotropic variograms derived from convection-permitting regional climate model simulations V. Dura et al. https://doi.org/10.5194/hess-30-2953-2026
- 140-year daily ensemble streamflow reconstructions over 661 catchments in France A. Devers et al. https://doi.org/10.5194/hess-28-3457-2024
- From climate to weather reconstructions S. Brönnimann & X. Wang https://doi.org/10.1371/journal.pclm.0000034
- 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. https://doi.org/10.1016/j.palaeo.2026.113703
- Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. https://doi.org/10.5194/hess-28-261-2024
- A 258-year-long data set of temperature and precipitation fields for Switzerland since 1763 N. Imfeld et al. https://doi.org/10.5194/cp-19-703-2023
- A novel deep learning-based approach for reconstruction of historical long-term high-quality gridded meteorological dataset Y. Jeong et al. https://doi.org/10.1016/j.jhydrol.2025.132850
- An Analog Offline EnKF for Paleoclimate Data Assimilation H. Sun et al. https://doi.org/10.1029/2021MS002674
- 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 https://doi.org/10.5194/hess-29-5535-2025
- Intercomparaison des évènements d’étiage extrême en France depuis 1871 L. Caillouet et al. https://doi.org/10.1080/00186368.2021.1914463
- Improved predictions in ungauged basins using flood marks L. Oudin et al. https://doi.org/10.1016/j.jhydrol.2025.133145
- Spatiotemporal and cross-scale interactions in hydroclimate variability: a case-study in France M. Fossa et al. https://doi.org/10.5194/hess-25-5683-2021
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
This article presents FYRE Climate, a dataset providing daily precipitation and temperature spanning the 1871–2012 period at 8 km resolution over France. FYRE Climate has been obtained through the combination of daily and yearly observations and a gridded reconstruction already available through a statistical technique called data assimilation. Results highlight the quality of FYRE Climate in terms of both long-term variations and reproduction of extreme events.
This article presents FYRE Climate, a dataset providing daily precipitation and temperature...
