Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2723-2020
https://doi.org/10.5194/gmd-13-2723-2020
Methods for assessment of models
 | Highlight paper
 | 
18 Jun 2020
Methods for assessment of models | Highlight paper |  | 18 Jun 2020

Towards an objective assessment of climate multi-model ensembles – a case study: the Senegalo-Mauritanian upwelling region

Juliette Mignot, Carlos Mejia, Charles Sorror, Adama Sylla, Michel Crépon, and Sylvie Thiria

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Juliette Mignot on behalf of the Authors (15 Apr 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (29 Apr 2020) by Paul Halloran
AR by Juliette Mignot on behalf of the Authors (08 May 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (14 May 2020) by Paul Halloran
Download
Short summary
The most robust representation of climate is usually obtained by averaging a large number of simulations, thereby cancelling individual model errors. Here, we work towards an objective way of selecting the least biased models over a certain region, based on physical parameters. This statistical method based on a neural classifier and multi-correspondence analysis is illustrated here for the Senegalo-Mauritanian region, but it could potentially be developed for any other region or process.