The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/tc-14-4427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-4427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Research article
 | 
04 Dec 2020
Research article |  | 04 Dec 2020

Parameter optimization in sea ice models with elastic–viscoplastic rheology

Gleb Panteleev, Max Yaremchuk, Jacob N. Stroh, Oceana P. Francis, and Richard Allard

Viewed

Total article views: 1,992 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,236 655 101 1,992 87 81
  • HTML: 1,236
  • PDF: 655
  • XML: 101
  • Total: 1,992
  • BibTeX: 87
  • EndNote: 81
Views and downloads (calculated since 29 Oct 2019)
Cumulative views and downloads (calculated since 29 Oct 2019)

Viewed (geographical distribution)

Total article views: 1,992 (including HTML, PDF, and XML) Thereof 1,880 with geography defined and 112 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
Short summary
In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of sea ice thickness and concentration with a set of fixed parameters empirically adjusted to optimize model performance. In this study we consider a spatially variable extension for representing these parameters in the two-dimensional elastic–viscoplastic (EVP) sea ice model and analyze the feasibility of the optimization of these parameters through the 4D-Var data assimilation approach.
Read more