The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data

Gengxin Chen; Yijun Hou; Xiaoqing Chu; Peng Qi; Po Hu

doi:10.1007/s00343-009-9297-6

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The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data

OriginalPaper | Updated：2023-05-16

- The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data
- The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data
- 海洋湖沼学报（英文） 2009年27卷第4期页码：943-954
- Affiliations：
  
  1. Institute of Oceanology Chinese Academy of Sciences
  2. Key Laboratory of Ocean Circulation and Waves (KLOCAW) Chinese Academy of Sciences
  3. Graduate University of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the Knowledge Innovation Program of Chinese Academy of Sciences (Nos. KZCX1-YW-12, KZCX2-YW-201), and National Natural Science Foundation of China (No. 90411013).
- DOI：10.1007/s00343-009-9297-6
  中图分类号：
- 网络首发：2009-12-04，
  
  纸质出版：2009
- Accepted：
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The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data[J]. 海洋湖沼学报（英文）, 2009,27(4):943-954.

Chen, G., Hou, Y., Chu, X. et al. The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data., Chin. J. Ocean. Limnol. 27, 943–954 (2009). https://doi.org/10.1007/s00343-009-9297-6
The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data[J]. 海洋湖沼学报（英文）, 2009,27(4):943-954. DOI： 10.1007/s00343-009-9297-6.

Chen, G., Hou, Y., Chu, X. et al. The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data., Chin. J. Ocean. Limnol. 27, 943–954 (2009). https://doi.org/10.1007/s00343-009-9297-6 DOI：

摘要

Abstract

We used fifteen years (1993–2007) of altimetric data

combined from different missions (ERS-1/2

TOPEX/Poseidon

Jason-1

and Envisat)

to analyze the variability of the eddy kinetic energy (EKE) in the South China Sea (SCS). We found that the EKE ranged from 64 cm2/s2 to 1 390 cm2/s2 with a mean value of 314 cm2/s2. The highest EKE center was observed to the east of Vietnam (with a mean value of 509 cm2/s2) and the second highest EKE region was located to the southwest of Taiwan Island (with a mean value of 319 cm2/s2). We also found that the EKE structure is the consequence of the superposition of different variability components. First

interannual variability is important in the SCS. Spectral analysis of the EKE interannual signal (IA-EKE) shows that the main periodicities of the IA-EKE to the east of Vietnam

to the southwest of Taiwan Island

and in the SCS are 3.75

1.87

and 3.75 years

respectively. It is to the south of Taiwan Island that the IA-EKE signal has the most obvious impact on EKE variability. In addition

the IA-EKE exhibit different trends in different regions. An obvious positive trend is observed along the east coast of Vietnam

while a negative trend is found to the southwest of Taiwan Island and in the east basin of Vietnam. Correlation analysis shows that the IA-EKE has an obvious negative correlation with the SSTA in Niño3 (5°S–5°N

90°W–150°W). El Niño-Southern Oscillation (ENSO) affects the IA-EKE variability in the SCS through an atmospheric bridge—wind stress curl over the SCS. Second

the seasonal cycle is the most obvious timescale affecting EKE variability. The locations of the most remarkable EKE seasonal variabilities in the SCS are to the east of Vietnam

to the southwest of Taiwan

and to the west of Philippines. To the east of Vietnam

the seasonal cycle is the dominant mechanism controlling EKE variability

which is attributed primarily to the annual cycle there of wind stress curl. In this area

the maximum EKE is observed in autumn. To the southwest of Taiwan Island

the EKE is enlarged by the stronger SCS circulation

which is caused by the intrusion branch from the Kuroshio in winter. Finally

intra-annual and mesoscale variability

although less important than the former

cannot be neglected. The most obvious intra-annual and mesoscale variability

which may be the result of baroclinic instability of the background flow

are observed to the southwest of Taiwan Island. Sporadic events can have an important effect on EKE variability.

关键词

Keywords

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