Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 6
Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2723-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2723-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 6
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

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Latest update: 23 Nov 2024
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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.
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