Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 6
Articles | Volume 19, issue 6
https://doi.org/10.5194/gmd-19-2349-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-2349-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 6
Development and technical paper
 | 
24 Mar 2026
Development and technical paper |  | 24 Mar 2026

A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package

Yoann Robin, Mathieu Vrac, Aurélien Ribes, Occitane Barbaux, and Philippe Naveau

Viewed

Total article views: 8,378 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,770 1,420 188 8,378 656 171 237
  • HTML: 6,770
  • PDF: 1,420
  • XML: 188
  • Total: 8,378
  • Supplement: 656
  • BibTeX: 171
  • EndNote: 237
Views and downloads (calculated since 08 May 2025)
Cumulative views and downloads (calculated since 08 May 2025)

Viewed (geographical distribution)

Total article views: 8,378 (including HTML, PDF, and XML) Thereof 8,268 with geography defined and 110 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 20 Sep 2026
Download
Short summary
We describe an improved method and the associated free licensed package ANKIALE (ANalysis of Klimate with bayesian Inference: AppLication to extreme Events) for estimating the statistics of temperature extremes. This method uses climate model simulations (including multiple scenarios simultaneously) to provide a prior of the real-world changes, constrained by the observations. The method and the tool are illustrated via an application to temperature over Europe until 2100, for four scenarios.
Read more
Share