Parameter optimization in sea ice models with elastic–viscoplastic rheology
The modern sea ice models include multiple parameters which strongly affect model solution. As an example, 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 ad...
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ftcopernicus:oai:publications.copernicus.org:tc80082 2023-05-15T18:16:18+02:00 Parameter optimization in sea ice models with elastic–viscoplastic rheology Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard 2020-12-04 application/pdf https://doi.org/10.5194/tc-14-4427-2020 https://tc.copernicus.org/articles/14/4427/2020/ eng eng doi:10.5194/tc-14-4427-2020 https://tc.copernicus.org/articles/14/4427/2020/ eISSN: 1994-0424 Text 2020 ftcopernicus https://doi.org/10.5194/tc-14-4427-2020 2020-12-07T17:22:16Z The modern sea ice models include multiple parameters which strongly affect model solution. As an example, 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 the extension of a two-dimensional elastic–viscoplastic (EVP) sea ice model using a spatially variable representation of these parameters. The feasibility of optimization of the landfast sea ice parameters and rheological parameters is assessed via idealized variational data assimilation experiments with synthetic observations of ice concentration, thickness and velocity. The experiments are configured for a 3 d data assimilation window in a rectangular basin with variable wind forcing. The tangent linear and adjoint models featuring EVP rheology are found to be unstable but can be stabilized by adding a Newtonian damping term into the adjoint equations. A set of observation system simulation experiments shows that landfast parameter distributions can be reconstructed after 5–10 iterations of the minimization procedure. Optimization of sea ice initial conditions and spatially varying parameters in the stress tensor equation requires more computation but provides a better hindcast of the sea ice state and the internal stress tensor. Analysis of inaccuracy in the wind forcing and errors in sea ice thickness observations show reasonable robustness of the variational DA approach and the feasibility of its application to available and incoming observations. Text Sea ice Copernicus Publications: E-Journals The Cryosphere 14 12 4427 4451 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The modern sea ice models include multiple parameters which strongly affect model solution. As an example, 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 the extension of a two-dimensional elastic–viscoplastic (EVP) sea ice model using a spatially variable representation of these parameters. The feasibility of optimization of the landfast sea ice parameters and rheological parameters is assessed via idealized variational data assimilation experiments with synthetic observations of ice concentration, thickness and velocity. The experiments are configured for a 3 d data assimilation window in a rectangular basin with variable wind forcing. The tangent linear and adjoint models featuring EVP rheology are found to be unstable but can be stabilized by adding a Newtonian damping term into the adjoint equations. A set of observation system simulation experiments shows that landfast parameter distributions can be reconstructed after 5–10 iterations of the minimization procedure. Optimization of sea ice initial conditions and spatially varying parameters in the stress tensor equation requires more computation but provides a better hindcast of the sea ice state and the internal stress tensor. Analysis of inaccuracy in the wind forcing and errors in sea ice thickness observations show reasonable robustness of the variational DA approach and the feasibility of its application to available and incoming observations. |
format |
Text |
author |
Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard |
spellingShingle |
Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard Parameter optimization in sea ice models with elastic–viscoplastic rheology |
author_facet |
Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard |
author_sort |
Panteleev, Gleb |
title |
Parameter optimization in sea ice models with elastic–viscoplastic rheology |
title_short |
Parameter optimization in sea ice models with elastic–viscoplastic rheology |
title_full |
Parameter optimization in sea ice models with elastic–viscoplastic rheology |
title_fullStr |
Parameter optimization in sea ice models with elastic–viscoplastic rheology |
title_full_unstemmed |
Parameter optimization in sea ice models with elastic–viscoplastic rheology |
title_sort |
parameter optimization in sea ice models with elastic–viscoplastic rheology |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-4427-2020 https://tc.copernicus.org/articles/14/4427/2020/ |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-14-4427-2020 https://tc.copernicus.org/articles/14/4427/2020/ |
op_doi |
https://doi.org/10.5194/tc-14-4427-2020 |
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The Cryosphere |
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14 |
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12 |
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4427 |
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4451 |
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1766189852299100160 |