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...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2020
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-14-4427-2020 https://noa.gwlb.de/receive/cop_mods_00054896 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054547/tc-14-4427-2020.pdf https://tc.copernicus.org/articles/14/4427/2020/tc-14-4427-2020.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00054896 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00054896 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 electronic https://doi.org/10.5194/tc-14-4427-2020 https://noa.gwlb.de/receive/cop_mods_00054896 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054547/tc-14-4427-2020.pdf https://tc.copernicus.org/articles/14/4427/2020/tc-14-4427-2020.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-14-4427-2020 https://noa.gwlb.de/receive/cop_mods_00054896 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054547/tc-14-4427-2020.pdf https://tc.copernicus.org/articles/14/4427/2020/tc-14-4427-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/tc-14-4427-2020 2022-02-08T22:34:48Z 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. Article in Journal/Newspaper Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 14 12 4427 4451 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard Parameter optimization in sea ice models with elastic–viscoplastic rheology |
topic_facet |
article Verlagsveröffentlichung |
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 |
Article in Journal/Newspaper |
author |
Panteleev, Gleb Yaremchuk, Max Stroh, Jacob N. Francis, Oceana P. Allard, Richard |
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 |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-4427-2020 https://noa.gwlb.de/receive/cop_mods_00054896 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054547/tc-14-4427-2020.pdf https://tc.copernicus.org/articles/14/4427/2020/tc-14-4427-2020.pdf |
genre |
Sea ice The Cryosphere |
genre_facet |
Sea ice The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-14-4427-2020 https://noa.gwlb.de/receive/cop_mods_00054896 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054547/tc-14-4427-2020.pdf https://tc.copernicus.org/articles/14/4427/2020/tc-14-4427-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-14-4427-2020 |
container_title |
The Cryosphere |
container_volume |
14 |
container_issue |
12 |
container_start_page |
4427 |
op_container_end_page |
4451 |
_version_ |
1766189852999548928 |