Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 18
Articles | Volume 15, issue 18
https://doi.org/10.5194/gmd-15-7203-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-7203-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 18
Methods for assessment of models
 | 
26 Sep 2022
Methods for assessment of models |  | 26 Sep 2022

Analog data assimilation for the selection of suitable general circulation models

Juan Ruiz, Pierre Ailliot, Thi Tuyet Trang Chau, Pierre Le Bras, Valérie Monbet, Florian Sévellec, and Pierre Tandeo

Viewed

Total article views: 2,384 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,794 510 80 2,384 95 76
  • HTML: 1,794
  • PDF: 510
  • XML: 80
  • Total: 2,384
  • BibTeX: 95
  • EndNote: 76
Views and downloads (calculated since 10 Feb 2022)
Cumulative views and downloads (calculated since 10 Feb 2022)

Viewed (geographical distribution)

Total article views: 2,384 (including HTML, PDF, and XML) Thereof 2,278 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 May 2025
Download
Short summary
We present a new approach to validate numerical simulations of the current climate. The method can take advantage of existing climate simulations produced by different centers combining an analog forecasting approach with data assimilation to quantify how well a particular model reproduces a sequence of observed values. The method can be applied with different observations types and is implemented locally in space and time significantly reducing the associated computational cost.
Read more
Share