首页|Spatiotemporal characteristics of the sea level anomaly in the Kuroshio Extension using a self-organizing map

Spatiotemporal characteristics of the sea level anomaly in the Kuroshio Extension using a self-organizing map

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利用1993年1月至2014年12月的卫星高度计海表面高度(SSH)数据,对黑潮延伸体(KE)区域进行了自组织映射(SOM)分析.在研究中,提取出了4个空间模态(SOM1,SOM2,SOM3,和SOM4)及其相应的时间序列来描述海面异常的变化特征.除去个别月份,1993-98和2002-11年主要受SOM1和SOM2控制,并伴随着KE急流的单支结构.在1999-2001和2012-14年,SOM3和SOM4交替出现,伴随着KE急流的双支结构.在KE区域,海面异常存在明显的年际变化,而KE急流则呈现为年代际变化.SOM1中KE路径变化不明显,KE急流变窄加强;而在SOM2中KE急流变宽减弱,且西南向偏移.与SOM3相比,SOM4中KE上游区域的槽脊沿西南-东北向加深,急流减弱分支.该研究表明,SOM分析能够有效地应用于KE区域变化特征的研究.
Satellite altimeter SSH data in the Kuroshio Extension (KE) region gathered during the period January 1993 to December 2014 are analyzed using self-organizing map (SOM) analysis.Four spatial patterns (SOM1,SOM2,SOM3,and SOM4) are extracted,and the corresponding time series are used to characterize the variation of the sea level anomaly.Except in some individual months,SOM1 and SOM2 with single-branch jet structures appear alternately during the periods 1993-1998 and 2002-2011.However,during 1999-2001 and 2012-2014,SOM3 and SOM4 with double-branch jet structures are dominant.The sea level anomalies exhibit interannual variations,while the KE stream demonstrates decadal variation.For SOM1,the change in the KE path is less evident,although the KE jet is strong and narrow.For SOM2,the KE jet is weakened and widened and its jet axis moves towards the southwest.Compared with the SOM3,for SOM4 the trough and ridge in the upstream KE region are deeper in the northeast-southwest direction,and accompanied by a jet weakening and splitting.This study shows that SOM analysis is a useful approach for characterizing KE variability.

Sea level anomalyself-organizing map analysisself-organizing map patternsjet variability

MA Fang、DIAO Yi-Na、LUO De-Hai

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College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China

Key Laboratory of Regional Climate-Environment for Temperate East Asia Key Laboratory of Regional Climate-Environment for Temperate East Asia, Chinese Academy of Sciences, Beijing, China

海面异常 自组织映射分析 自组织映射模态 急流变化

National Basic Research Program of China (973 Program)

2013CB956203]

2016

大气和海洋科学快报(英文版)
中国科学院大气物理研究所

大气和海洋科学快报(英文版)

CSCD
影响因子:0.465
ISSN:1674-2834
年,卷(期):2016.9(6)
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