| 南海海面高度季节变化的数值模拟 |
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| 引用本文： | 刘秦玉,杨海军,贾英来,甘子钧.南海海面高度季节变化的数值模拟[J].海洋学报,2001,23(2):9-17. |
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| 作者姓名： | 刘秦玉 杨海军 贾英来 甘子钧 |
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| 作者单位： | 1.青岛海洋大学物理海洋实验室, 山东青岛 266003 |
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| 基金项目： | 国家自然科学基金项目(49636230)；国家重点基础研究发展规划项目(G1999043807). |
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| 摘 要： | 比较POM模式模拟与观测(TOPEX/Poseidon高度计资料)的南海海面高度(SSH)的季节变化在空间分布上的一致性和差异.结果表明:本文使用的POM模式能较好地模拟南海SSH的季节变化;冬季与夏季,春季与秋季南海海面异常场形式完全相反,冬季Ekman输运造成在西海岸的堆积要比夏季在东海岸堆积更明显,而吕宋冷涡中心附近和吕宋海峡海面季节变化振幅最大;除春季以外,在南海绝大部分海域,海面高度的季节变化主要受风力的控制,南海海面热量通量对SSH的季节变化贡献约为20%,风应力对SSH的季节变化的贡献约为80%.
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| 关 键 词： | 南海 海面高度 季节变化 数值模拟 |
| 文章编号： | 0253-4193(2001)02-0009-09 |
| 收稿时间： | 1999/10/14 0:00:00 |
| 修稿时间： | 7/4/2000 12:00:00 AM |
The numerical simulation of the seasonal variation of the sea surface height in the South China Sea |
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| LIU Qin-yu,YANG Hai-jun,JIA Ying-lai and GAN Zhi-jun.The numerical simulation of the seasonal variation of the sea surface height in the South China Sea[J].Acta Oceanologica Sinica (in Chinese),2001,23(2):9-17. |
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| Authors: | LIU Qin-yu YANG Hai-jun JIA Ying-lai and GAN Zhi-jun |
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| Institution: | 1.Institute of Physical Oceanography, Ocean University of Qingdao, Qingdao 266003, China2.South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China |
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| 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%. |
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| Keywords: | South China Sea sea surface height seasonal variation numerical simulation |
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