| Liang Yu,Bi Haibo,Wang Yunhe,Zhang Zehua,Huang Haijun. 2020. Role of atmospheric factors in forcing Arctic sea ice variability. Acta Oceanologica Sinica, 39(9):60－72 |
| Role of atmospheric factors in forcing Arctic sea ice variability |
| 北极海冰变率的独特模式及其与大气强迫的关系 |
| Received:June 28, 2019 |
| DOI：10.1007/s13131-020-1629-6 |
| Key words:sea ice concentration atmospheric circulation surface radiation |
| 中文关键词: 海冰密集度 大气环流 表面辐射通量 |
| 基金项目:The National Natural Science Foundation of China under contract Nos 41406215 and 41706194; a fund provided by the Qingdao National Laboratory for Marine Science and Technology; the National Natural Science Foundation of China (NSFC)-Shandong Joint Fund for Marine Science Research Centers under contract No. U1606401. |
| Author Name | Affiliation | E-mail | | Liang Yu | Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
University of Chinese Academy of Sciences, Beijing 100049, China | | | Bi Haibo | Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China | bhb@qdio.ac.cn | | Wang Yunhe | Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
University of Chinese Academy of Sciences, Beijing 100049, China | | | Zhang Zehua | Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China | | | Huang Haijun | Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
University of Chinese Academy of Sciences, Beijing 100049, China | hjhuang@qdio.ac.cn |
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| Abstract: |
| The spatial structure of the Arctic sea ice concentration (SIC) variability and the connection to atmospheric as well as radiative forcing during winter and summer for the 1979–2017 period are investigated. The interannual variability with different spatial characteristics of SIC in summer and winter is extracted using the empirical orthogonal function (EOF) analysis. The present study confirms that the atmospheric circulation has a strong influence on the SIC through both dynamic and thermodynamic processes, as the heat flux anomalies in summer are radiatively forced while those in winter contain both radiative and “circulation-induced” components. Thus, atmospheric fluctuations have an explicit and extensive influence to the SIC through complex mechanisms during both seasons. Moreover, analysis of a variety of atmospheric variables indicates that the primary mechanism about specific regional SIC patterns in Arctic marginal seas are different with special characteristics. |
| 中文摘要: |
| 本文研究了1979-2017年冬季和夏季北极海域海冰密集度（sea ice concentration, SIC）年际变率的空间结构以及其与大气强迫和辐射强迫的关系。利用经验正交函数（The empirical orthogonal function, EOF）分析方法提取的SIC年际变率在夏季和冬季具有不同的空间特征。本研究证实，由于夏季的热通量异常主要是由于辐射强迫改变造成的，而冬季的热通量异常通常同时包含“辐射诱导”和 “大气环流诱导” 分量，大气环流可以通过复杂的动力学和热力学过程海冰产生显著的调控作用。因此，在北极的春夏两个季节，大气波动通过复杂的机制对 SIC 有着明确并广泛的影响。此外，对各种大气变量进行分析的结果表明，造成北极不同边缘海的海冰异常模式的主要机制是不同的，具有鲜明的地域性特征。 |
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