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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Cited articles

Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380, https://doi.org/10.5194/tc-4-373-2010, 2010. 
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Bouillon, S., Fichefet, T., Legat, V., and Madec, G.: The elastic–viscous–plastic method revisited, Ocean Model., 71, 2–12, 2013. 
Cummings, J. A. and Smedstad, O. M.: Variational data assimilation for the global ocean, in: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, Springer-Verlag, Berlin Heidelberg, 303–343, https://doi.org/10.1007/978-3-642-35088-7_13, 2013. 
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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.