阿古哈斯回流中的气旋涡降现象研究

IF 2.1 4区 地球科学 Q2 MARINE & FRESHWATER BIOLOGY
Xiaoqi Ding , Haibin Lü , Yulin Zhu , Liqiong Zhang , Yaoyao Zhou , Linfei Bai
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引用次数: 0

摘要

利用多参数涡数据集和涡探测技术,首次观测和分析了阿古哈斯回流(ARC)北侧气旋涡(CE)与主流的分离。结果发现,存在一种由两个反气旋涡(AE)夹着一个气旋涡(CE)的特殊形式(ACA)。气旋涡随后从喷流中局部脱落并向西移动,最后被主流重新捕获。根据观测结果,ACA 形式的气旋涡脱离可按脱离模式和海面高度(SSH)数据分为两类。利用再分析数据、卫星观测数据和 Argo 数据进行的分析表明,反气旋涡和气旋涡之间的位置关系会影响脱离类型。此外,ARC 本身存在的巨大蜿蜒形态和耗散效应也为气旋涡的脱离提供了条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of the cyclonic eddy shedding phenomenon in the Agulhas Return Current

The detachment of the cyclonic eddy (CE) from the mainstream on the north side of the Agulhas Return Current (ARC) is first observed and analyzed with a multiparameter eddy dataset and eddy detection technique. It is found that there exists a special form (ACA) of two anticyclonic eddies (AE) sandwiching a cyclonic eddy (CE). The cyclonic eddy is then locally shed from the jet and shifts to the west before finally being recaptured by the mainstream. From observations, cyclonic eddy detachments in ACA form can be classified into two categories based on the detachment mode and on the sea surface height (SSH) data. Using reanalysis data, satellite observation data and Argo data, the analysis reveals that the positional relationship between the anticyclonic eddies and cyclonic eddy affects the detachment type. In addition, the existence of the ARC itself, with its giant meandering morphology and dissipative effect, also provides conditions for the detachment of the cyclonic eddy.

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来源期刊
Journal of Sea Research
Journal of Sea Research 地学-海洋学
CiteScore
3.20
自引率
5.00%
发文量
86
审稿时长
6-12 weeks
期刊介绍: The Journal of Sea Research is an international and multidisciplinary periodical on marine research, with an emphasis on the functioning of marine ecosystems in coastal and shelf seas, including intertidal, estuarine and brackish environments. As several subdisciplines add to this aim, manuscripts are welcome from the fields of marine biology, marine chemistry, marine sedimentology and physical oceanography, provided they add to the understanding of ecosystem processes.
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