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: 1,115 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
866 199 50 1,115 36 32
  • HTML: 866
  • PDF: 199
  • XML: 50
  • Total: 1,115
  • BibTeX: 36
  • EndNote: 32
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads (calculated since 16 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,115 (including HTML, PDF, and XML) Thereof 1,099 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
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