中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An assessment of the CMIP6 performance in simulating Arctic sea ice volume flux via Fram Strait

文献类型:期刊论文

作者Kuang, Hui-Yan1,3; Sun, Shao-Zhe1,3; Ye, Yu-Fang1,3; Wang, Shao-Yin1,3; Bi, Hai-Bo2,4; Chen, Zhuo-Qi1,3; Cheng, Xiao1,3
刊名ADVANCES IN CLIMATE CHANGE RESEARCH
出版日期2024-08-01
卷号15期号:4页码:584-595
关键词Sea ice volume flux CMIP6 models Fram Strait Attribution analysis
ISSN号1674-9278
DOI10.1016/j.accre.2024.06.008
通讯作者Ye, Yu-Fang(yeyf8@mail.sysu.edu.cn)
英文摘要Numerical models serve as an essential tool to investigate the causes and effects of Arctic sea ice changes. Evaluating the simulation capabilities of the most recent CMIP6 models in sea ice volume flux provides references for model applications and improvements. Meanwhile, reliable longterm simulation results of the ice volume flux contribute to a deeper understanding of the sea ice response to global climate change. In this study, the sea ice volume flux through six Arctic gateways over the past four decades (1979-2014)- 2014) were estimated in combination of satellite observations of sea ice concentration (SIC) and sea ice motion (SIM) as well as the Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) reanalysis sea ice thickness (SIT) data. The simulation capability of 17 CMIP6 historical models for the volume flux through Fram Strait were quantitatively assessed. Sea ice volume flux simulated from the ensemble mean of 17 CMIP6 models demonstrates better performance than that from the individual model, yet IPSL-CM6A-LR and EC-Earth3-Veg-LR outperform the ensemble mean in the annual volume flux, with Taylor scores of 0.86 and 0.50, respectively. CMIP6 models display relatively robust capability in simulating the seasonal variations of volume flux. Among them, CESM2WACCM performs the best, with a correlation coefficient of 0.96 and a Taylor score of 0.88. Conversely, NESM3 demonstrates the largest deviation from the observation/reanalysis data, with the lowest Taylor score of 0.16. The variability of sea ice volume flux is primarily influenced by SIM and SIT, followed by SIC. The extreme large sea ice export through Fram Strait is linked to the occurrence of anomalously low air temperatures, which in turn promote increased SIC and SIT in the corresponding region. Moreover, the intensified activity of Arctic cyclones and Arctic dipole anomaly could boost the southward sea ice velocity through Fram Strait, which further enhance the sea ice outflow.
WOS关键词SATELLITE ; MODEL ; EXPORT
资助项目National Natural Science Foundation of China[42106225] ; Innovation Group Project of Southern Marine Science and Engineering Guangdong Lab-oratory (Zhuhai)[311021008] ; Natural Science Foun-dation of Guangdong Province, China[2022A1515011545]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001310004000001
出版者KEAI PUBLISHING LTD
源URL[http://ir.qdio.ac.cn/handle/337002/198522]  
专题海洋研究所_海洋地质与环境重点实验室
通讯作者Ye, Yu-Fang
作者单位1.Sun Yat sen Univ, Sch Geospatial Engn & Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
3.Sun Yat sen Univ, Key Lab Comprehens Observat Polar Environm, Minist Educ, Zhuhai 519082, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266237, Peoples R China
推荐引用方式
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Kuang, Hui-Yan,Sun, Shao-Zhe,Ye, Yu-Fang,et al. An assessment of the CMIP6 performance in simulating Arctic sea ice volume flux via Fram Strait[J]. ADVANCES IN CLIMATE CHANGE RESEARCH,2024,15(4):584-595.
APA Kuang, Hui-Yan.,Sun, Shao-Zhe.,Ye, Yu-Fang.,Wang, Shao-Yin.,Bi, Hai-Bo.,...&Cheng, Xiao.(2024).An assessment of the CMIP6 performance in simulating Arctic sea ice volume flux via Fram Strait.ADVANCES IN CLIMATE CHANGE RESEARCH,15(4),584-595.
MLA Kuang, Hui-Yan,et al."An assessment of the CMIP6 performance in simulating Arctic sea ice volume flux via Fram Strait".ADVANCES IN CLIMATE CHANGE RESEARCH 15.4(2024):584-595.

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来源:海洋研究所

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