The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/tc-18-2381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-2381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
Research article
 | 
14 May 2024
Research article |  | 14 May 2024

Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

Yumeng Chen, Polly Smith, Alberto Carrassi, Ivo Pasmans, Laurent Bertino, Marc Bocquet, Tobias Sebastian Finn, Pierre Rampal, and Véronique Dansereau

Viewed

Total article views: 2,296 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,918 302 76 2,296 71 135
  • HTML: 1,918
  • PDF: 302
  • XML: 76
  • Total: 2,296
  • BibTeX: 71
  • EndNote: 135
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads (calculated since 16 Oct 2023)

Viewed (geographical distribution)

Total article views: 2,296 (including HTML, PDF, and XML) Thereof 2,243 with geography defined and 53 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
We explore multivariate state and parameter estimation using a data assimilation approach through idealised simulations in a dynamics-only sea-ice model based on novel rheology. We identify various potential issues that can arise in complex operational sea-ice models when model parameters are estimated. Even though further investigation will be needed for such complex sea-ice models, we show possibilities of improving the observed and the unobserved model state forecast and parameter accuracy.
Read more
Share