Preprints
https://doi.org/10.5194/cp-2020-156
https://doi.org/10.5194/cp-2020-156

  13 Jan 2021

13 Jan 2021

Review status: this preprint is currently under review for the journal CP.

FYRE Climate: A high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012

Alexandre Devers1, Jean-Philippe Vidal1, Claire Lauvernet1, and Olivier Vannier2 Alexandre Devers et al.
  • 1INRAE, UR RiverLy, 5 rue de la Doua, CS 20244, 69625 Villeurbanne Cedex, France
  • 2Compagnie Nationale du Rhône (CNR), 2 rue André Bonin, 69004 Lyon, France

Abstract. Surface observations are usually too few and far between to properly assess multidecadal variations at the local scale and characterize historical local extreme events at the same time. A data assimilation scheme has been recently presented to assimilate daily observations of temperature and precipitation into downscaled reconstructions from a global extended reanalysis through an Ensemble Kalman fitting approach and derive high-resolution fields. Recent studies also showed that assimilating observations at high temporal resolution does not guarantee correct multidecadal variations. The current paper thus proposes (1) to apply this scheme over France and over the 1871–2012 period based on the SCOPE Climate reconstructions background dataset and all available daily historical surface observations of temperature and precipitation, (2) to develop an assimilation scheme at the yearly time scale and to apply it over the same period and lastly, (3) to derive the FYRE Climate reanalysis, a 25-member ensemble hybrid dataset resulting from the daily and yearly assimilation schemes, spanning the whole 1871–2012 period at a daily and 8-km resolution over France. Assimilating daily observations only allows reconstructing accurately daily characteristics, but fails in reproducing robust multidecadal variations when compared to independent datasets. Combining the daily and yearly assimilation schemes, FYRE Climate clearly performs better than the SCOPE Climate background in terms of bias, error, and correlation, but also better than the Safran reference surface reanalysis over France available from 1958 onward only. FYRE Climate also succeeds in reconstructing both local extreme events and multidecadal variability. It is made freely available from http://doi.org/10.5281/zenodo.4005573 (precipitation) and http://doi.org/10.5281/zenodo.4006472 (temperature).

Alexandre Devers et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2020-156', Anonymous Referee #1, 17 Feb 2021
  • RC2: 'Comment on cp-2020-156', Anonymous Referee #2, 16 Mar 2021

Alexandre Devers et al.

Data sets

FYRE Climate: Precipitation Devers, Alexandre, Vidal, Jean-Philippe, Lauvernet, Claire, and Vannier, Olivier https://doi.org/10.5281/zenodo.4005573

FYRE Climate: Temperature Devers, Alexandre, Vidal, Jean-Philippe, Lauvernet, Claire, and Vannier, Olivier https://doi.org/10.5281/zenodo.4006472

Alexandre Devers et al.

Viewed

Total article views: 501 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
396 97 8 501 4 2
  • HTML: 396
  • PDF: 97
  • XML: 8
  • Total: 501
  • BibTeX: 4
  • EndNote: 2
Views and downloads (calculated since 13 Jan 2021)
Cumulative views and downloads (calculated since 13 Jan 2021)

Viewed (geographical distribution)

Total article views: 407 (including HTML, PDF, and XML) Thereof 405 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Apr 2021
Download
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/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.