Articles | Volume 14, issue 12
https://doi.org/10.5194/tc-14-4427-2020
https://doi.org/10.5194/tc-14-4427-2020
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

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Latest update: 18 May 2024
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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.