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

Chunming DONG; Xiaofan LUO; Hongtao NIE; Wei ZHAO; Hao WEI

doi:10.1007/s00343-022-1241-z

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

Physics | Updated：2023-04-27

- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation
- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation
- 海洋湖沼学报（英文） 2023年41卷第1期页码：1-16
- Affiliations：
  
  School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
- Author bio：
  
  Xiaofan LUO, E-mail: xiaofan.luo@tju.edu.cn
- Funds：
  
  the National Natural Science Foundation of China(41630969);the National Natural Science Foundation of China(41941013);the National Natural Science Foundation of China(41806225);the Tianjin Municipal Natural Science Foundation(No. 20JCQNJC01290);© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2023
- DOI：10.1007/s00343-022-1241-z
  中图分类号：
- 收稿：2021-07-27，
  
  录用：2021-11-24，
  
  网络首发：2022-01-11，
  
  纸质出版：2023-01
- Accepted：
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Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation[J]. 海洋湖沼学报（英文）, 2023,41(1):1-16.

Chunming DONG, Xiaofan LUO, Hongtao NIE, et al. Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation[J]. Journal of Oceanology and Limnology, 2023, 41(1): 1-16.
Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation[J]. 海洋湖沼学报（英文）, 2023,41(1):1-16. DOI： 10.1007/s00343-022-1241-z.

Chunming DONG, Xiaofan LUO, Hongtao NIE, et al. Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation[J]. Journal of Oceanology and Limnology, 2023, 41(1): 1-16. DOI： 10.1007/s00343-022-1241-z.

摘要

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 (

rhg

). By reducing the

rhg

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.

关键词

Keywords

references

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