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Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation.

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Title: Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation.
Authors: Dong, Chunming1, Luo, Xiaofan1 xiaofan.luo@tju.edu.cn, Nie, Hongtao1, Zhao, Wei1, Wei, Hao1
Source: Journal of Oceanology & Limnology. Jan2023, Vol. 41 Issue 1, p1-16. 16p.
Subject Terms: *Sea ice, *Mathematical models of oceanography, *Compressive strength, *Performance evaluation, *Computer simulation, *Thermodynamics
Abstract: Satellite records show that the extent and thickness of sea ice in the Arctic Ocean have significantly decreased since the early 1970s. The prediction of sea ice is highly important, but accurate simulation of sea ice variations remains highly challenging. For improving model performance, sensitivity experiments were conducted using the coupled ocean and sea ice model (NEMO-LIM), and the simulation results were compared against satellite observations. Moreover, the contribution ratios of dynamic and thermodynamic processes to sea ice variations were analyzed. The results show that the performance of the model in reconstructing the spatial distribution of Arctic sea ice is highly sensitive to ice strength decay constant (Crhg). By reducing the Crhg constant, the sea ice compressive strength increases, leading to improved simulated sea ice states. The contribution of thermodynamic processes to sea ice melting was reduced due to less deformation and fracture of sea ice with increased compressive strength. Meanwhile, dynamic processes constrained more sea ice to the central Arctic Ocean and contributed to the increases in ice concentration, reducing the simulation bias in the central Arctic Ocean in summer. The root mean square error (RMSE) between modeled and the CryoSat-2/SMOS satellite observed ice thickness was reduced in the compressive strength-enhanced model solution. The ice thickness, especially of multiyear thick ice, was also reduced and matched with the satellite observation better in the freezing season. These provide an essential foundation on exploring the response of the marine ecosystem and biogeochemical cycling to sea ice changes. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 162508026
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation.
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  Data: <searchLink fieldCode="AR" term="%22Dong%2C+Chunming%22">Dong, Chunming</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Luo%2C+Xiaofan%22">Luo, Xiaofan</searchLink><relatesTo>1</relatesTo><i> xiaofan.luo@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Nie%2C+Hongtao%22">Nie, Hongtao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Wei%22">Zhao, Wei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wei%2C+Hao%22">Wei, Hao</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Oceanology+%26+Limnology%22">Journal of Oceanology & Limnology</searchLink>. Jan2023, Vol. 41 Issue 1, p1-16. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Sea+ice%22">Sea ice</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+models+of+oceanography%22">Mathematical models of oceanography</searchLink><br />*<searchLink fieldCode="DE" term="%22Compressive+strength%22">Compressive strength</searchLink><br />*<searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Thermodynamics%22">Thermodynamics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Satellite records show that the extent and thickness of sea ice in the Arctic Ocean have significantly decreased since the early 1970s. The prediction of sea ice is highly important, but accurate simulation of sea ice variations remains highly challenging. For improving model performance, sensitivity experiments were conducted using the coupled ocean and sea ice model (NEMO-LIM), and the simulation results were compared against satellite observations. Moreover, the contribution ratios of dynamic and thermodynamic processes to sea ice variations were analyzed. The results show that the performance of the model in reconstructing the spatial distribution of Arctic sea ice is highly sensitive to ice strength decay constant (Crhg). By reducing the Crhg constant, the sea ice compressive strength increases, leading to improved simulated sea ice states. The contribution of thermodynamic processes to sea ice melting was reduced due to less deformation and fracture of sea ice with increased compressive strength. Meanwhile, dynamic processes constrained more sea ice to the central Arctic Ocean and contributed to the increases in ice concentration, reducing the simulation bias in the central Arctic Ocean in summer. The root mean square error (RMSE) between modeled and the CryoSat-2/SMOS satellite observed ice thickness was reduced in the compressive strength-enhanced model solution. The ice thickness, especially of multiyear thick ice, was also reduced and matched with the satellite observation better in the freezing season. These provide an essential foundation on exploring the response of the marine ecosystem and biogeochemical cycling to sea ice changes. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00343-022-1241-z
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 1
    Subjects:
      – SubjectFull: Sea ice
        Type: general
      – SubjectFull: Mathematical models of oceanography
        Type: general
      – SubjectFull: Compressive strength
        Type: general
      – SubjectFull: Performance evaluation
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Thermodynamics
        Type: general
    Titles:
      – TitleFull: Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation.
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            NameFull: Dong, Chunming
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            NameFull: Luo, Xiaofan
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            NameFull: Nie, Hongtao
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            NameFull: Zhao, Wei
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            NameFull: Wei, Hao
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            – D: 01
              M: 01
              Text: Jan2023
              Type: published
              Y: 2023
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              Value: 41
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            – TitleFull: Journal of Oceanology & Limnology
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