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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/tc-2019-219
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2019-219
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 29 Oct 2019

Submitted as: research article | 29 Oct 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

Parameter Optimization in Sea Ice Models with Elastic-Viscoplastic Rheology

Gleb Panteleev1, Max Yaremchuk1, Jacob N. Stroh2, Oceana P. Francis3, and Richard Allard1 Gleb Panteleev et al.
  • 1Naval Research Laboratory, Stennis Space Center, MS, USA
  • 2University of Colorado, Aurora, CO, USA
  • 3University of Hawaii, Honolulu, HI, USA

Abstract. Ice rheology formulation is the key component of the modern sea ice modeling. In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of the sea ice thickness and concentration with a set of fixed parameters empirically adjusted to optimize the model performance. In this study we consider a spatially variable extension of representing these parameters in the two-dimensional EVP sea ice model with a formulation similar to CICE6. Feasibility of optimization of the rheological and landfast sea ice parameters is assessed by applying variational data assimilation to the synthetic observations of ice concentration, thickness and velocity. It is found that the tangent linear and adjoint models featuring EVP rheology are unstable, but can be stabilized by adding Newtonian damping term into the adjoint equation. The set of the observation system simulation experiments shows that landfast parameter distributions can be reconstructed after 5–10 iterations of the minimization procedure. Optimization of the sea ice initial conditions and spatially varying parameters in the equation for the stress tensor requires more computation, but provides a better hindcast of the sea ice state and the internal stress tensor. Analysis of the inaccuracy in the wind forcing and errors in the sea ice thickness observations have shown reasonable robustness of the variational DA approach and feasibility of its application to the available and incoming observations.

Gleb Panteleev et al.
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Short summary
In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of the sea ice thickness and concentration with a set of fixed parameters empirically adjusted to optimize the model performance. In this study we consider a spatially variable extension of representing these parameters in the two-dimensional EVP sea ice model and analyze the feasibility of the optimization of these parameters through the 4Dvar data assimilation approach.
In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by...
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