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

Viewed

Total article views: 3,996 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,315 611 70 3,996 63 59
  • HTML: 3,315
  • PDF: 611
  • XML: 70
  • Total: 3,996
  • BibTeX: 63
  • EndNote: 59
Views and downloads (calculated since 28 Oct 2019)
Cumulative views and downloads (calculated since 28 Oct 2019)

Viewed (geographical distribution)

Total article views: 3,996 (including HTML, PDF, and XML) Thereof 3,350 with geography defined and 646 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Jun 2024
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.