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Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter
Ma, Xueying1,2; Mu, Mu3,4; Dai, Guokun3,5; Han, Zhe6; Li, Chunxiang6; Jiang, Zhina7
2022-03-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
卷号127期号:5页码:15
通讯作者Mu, Mu(mumu@fudan.edu.cn)
摘要It is traditionally considered that the predictability of atmosphere reaches approximately 2 weeks due to its chaotic features. Considering boundary conditions, the lead prediction time can exceed 2 weeks in certain cases. We find that the Arctic sea ice concentration (SIC) is crucial for extended-range prediction of strong and long-lasting Ural blocking (UB) formation. By applying the rotated empirical orthogonal function-based particle swarm optimization algorithm, the conditional nonlinear optimal perturbation is calculated with the Community Atmosphere Model, version 4, to identify the optimally growing boundary errors in extended-range prediction of strong and long-lasting UB formation. It is found that SIC perturbations in the Greenland Sea (GS), Barents Sea (BS), and Okhotsk Sea (OKS) are important for strong and long-lasting UB formation prediction in four pentads. Further analysis reveals that the SIC perturbations in these areas first influence the local temperature field through the diabatic heating process and further affect the temperature field in the Ural sector mainly by advection and convection processes. Moreover, the zonal winds in the Ural sector are adjusted by the thermal wind balance, thus affecting UB formation. The local characteristics of the SIC perturbations indicate that the GS, BS, and OKS may be sensitive areas in regard to extended-range prediction of strong and long-lasting UB formation, which can provide scientific support for the SIC target observations in the future.
DOI10.1029/2021JD036282
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[41790475] ; National Natural Science Foundation of China[42005046] ; National Natural Science Foundation of China[41775001] ; National Supercomputer Center in Guangzhou (NSCC-GZ) ; High Performance Computing Center at the Institute of Oceanology, Chinese Academy of Sciences
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000771343200036
出版者AMER GEOPHYSICAL UNION
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/178616
专题海洋环流与波动重点实验室
通讯作者Mu, Mu
作者单位1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Fudan Univ, Inst Atmospher Sci, Dept Atmospher & Ocean Sci, Shanghai, Peoples R China
4.Zhuhai Fudan Innovat Res Inst, Innovat Ctr Ocean & Atmosphere Syst, Zhuhai, Peoples R China
5.CMA FDU Joint Lab Marine Meteorol, Shanghai, Peoples R China
6.Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Temperate East A, Beijing, Peoples R China
7.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
第一作者单位中国科学院海洋研究所
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Ma, Xueying,Mu, Mu,Dai, Guokun,et al. Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2022,127(5):15.
APA Ma, Xueying,Mu, Mu,Dai, Guokun,Han, Zhe,Li, Chunxiang,&Jiang, Zhina.(2022).Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,127(5),15.
MLA Ma, Xueying,et al."Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 127.5(2022):15.
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