The numerical simulation of the seasonal variation of the sea surface height in the South China Sea

LIU Qin-yu; YANG Hai-jun; JIA Ying-lai; GAN Zhi-jun

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LIU Qin-yu, YANG Hai-jun, JIA Ying-lai, GAN Zhi-jun. The numerical simulation of the seasonal variation of the sea surface height in the South China Sea[J]. Haiyang Xuebao, 2001, 23(2): 9-17.

Citation:

LIU Qin-yu, YANG Hai-jun, JIA Ying-lai, GAN Zhi-jun. The numerical simulation of the seasonal variation of the sea surface height in the South China Sea[J]. Haiyang Xuebao, 2001, 23(2): 9-17.

LIU Qin-yu, YANG Hai-jun, JIA Ying-lai, GAN Zhi-jun. The numerical simulation of the seasonal variation of the sea surface height in the South China Sea[J]. Haiyang Xuebao, 2001, 23(2): 9-17.

Citation:

LIU Qin-yu, YANG Hai-jun, JIA Ying-lai, GAN Zhi-jun. The numerical simulation of the seasonal variation of the sea surface height in the South China Sea[J]. Haiyang Xuebao, 2001, 23(2): 9-17.

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The numerical simulation of the seasonal variation of the sea surface height in the South China Sea

1.
Institute of Physical Oceanography, Ocean University of Qingdao, Qingdao 266003, China
2.
South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China

Received Date: 1999-10-14
Rev Recd Date: 2000-07-04

Abstract

Abstract

The consistency and difference of the seasonal variation of sea surface height (SSH) are analyzed and compared among the numerical model results (POM model) and the TOPEX/Poseidon satelliten observed data.It is shown that POM results of the seasonal variation of the SSH are quite similar with obsevation.The sea surface height anomaly (SSHA) field is completely opposite between winter and summer,as well as between spring and autumn.The pileup caused by Ekman transport is more obvious along the western shore in winter than the pileup along the eastern shore in summer.The maximum amplitude of seasonal oscillation of the SSH lies near the center of the Luzon cold eddy and Luzon Strait.Except spring,the SSH seasonal variation is controlled dominantly by wind the in larger area of the South China Sea.The contribution of sea surface buoyancy flux to the seasonal variation of the SSH is 20% of the total SSH variation.The contribution of wind stress to the SSH is about 80%.
- South China Sea,
- sea surface height,
- seasonal variation,
- numerical simulation

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References(16)

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