Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 10
Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4773-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-4773-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 10
Model evaluation paper
 | 
05 Oct 2020
Model evaluation paper |  | 05 Oct 2020

Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6–LIM3 global ocean–sea ice model

Eduardo Moreno-Chamarro, Pablo Ortega, and François Massonnet

Viewed

Total article views: 2,451 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,669 686 96 2,451 345 102 94
  • HTML: 1,669
  • PDF: 686
  • XML: 96
  • Total: 2,451
  • Supplement: 345
  • BibTeX: 102
  • EndNote: 94
Views and downloads (calculated since 12 Dec 2019)
Cumulative views and downloads (calculated since 12 Dec 2019)

Viewed (geographical distribution)

Total article views: 2,451 (including HTML, PDF, and XML) Thereof 2,220 with geography defined and 231 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Jun 2025
Download
Short summary
Climate models need to capture sea ice complexity to represent it realistically. Here we assess how distributing sea ice in discrete thickness categories impacts how sea ice variability is simulated in the NEMO3.6–LIM3 model. Simulations and satellite observations are compared by using k-means clustering of sea ice concentration in winter and summer between 1979 and 2014 at both poles. Little improvements in the modeled sea ice lead us to recommend using the standard number of five categories.
Read more
Share
Special issue
Nucleus for European Modelling of the Ocean - NEMO