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
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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 |
DOI | 10.1016/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 GB/T 7714 | 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. |
入库方式: OAI收割
来源:海洋研究所
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