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东海海平面变化的综合分析
引用本文:王龙,王晶,杨俊钢.东海海平面变化的综合分析[J].海洋学报,2014,36(1):28-37.
作者姓名:王龙  王晶  杨俊钢
作者单位:1.Information Science and Engineering College, Ocean University of China, Qingdao 266100, China
基金项目:“HY-2”公益性项目(2013418032-1);龙计划(10466)。
摘    要:利用1993年1月至2011年12月的卫星高度计数据,研究了东海海平面变化的季节信号、线性趋势和低频信号,并结合风应力资料、Ishii温盐数据和海表面温度数据分析了季节信号和低频信号的驱动机制。东海季节性海平面变化主要由年信号组成,其占海平面变化的大部分;年信号振幅和相位的分布具有明显的区域差异;东海季节性海平面变化主要受海面风和海水热膨胀驱动,而且在不同季节、不同区域,两种驱动机制的作用存在明显差异,主导地位也不断变化;季节信号还受到黑潮的一定影响。1993-2011年间东海海平面线性上升速率为3.28mm/a,各海域海平面上升速率不同。东海海平面变化低频信号与比容海平面变化低频信号具有显著相关性,最大相关系数为0.55;东海比容海平面变化低频信号与SOI低频信号同样具有一定的相关性,最大相关系数为0.3。ENSO通过大气环流和黑潮洋流等对东海海域的比容海平面变化产生影响,比容海平面变化进而对东海年际间海平面变化产生调制作用,因此ENSO可以通过东海年际间比容海平面变化对东海年际间海平面变化产生影响。

关 键 词:东海    海平面变化    高度计    风应力    海水热膨胀    ENSO    比容海平面
收稿时间:2012/11/1 0:00:00

The comprehensive analysis of sea-level change in the East China Sea
Wang Long,Wang Jing and Yang Jungang.The comprehensive analysis of sea-level change in the East China Sea[J].Acta Oceanologica Sinica (in Chinese),2014,36(1):28-37.
Authors:Wang Long  Wang Jing and Yang Jungang
Institution:1.Information Science and Engineering College, Ocean University of China, Qingdao 266100, China2.First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Abstract:On the basis of satellite altimeter data for 1993—2011, the seasonal signal, linear trend and low-frequency signal of the sea-level change in the East China Sea are investigated. The driving mechanisms of seasonal signal and low-frequency signal are analyzed by combining wind data, IshⅡ subsurface temperature and salinity data, sea surface temperature data and so on. The seasonal sea-level change mainly consists of annual signal, and occupies most of the sea-level change. The distribution of annual signal amplitude and phase is different in different regions. The main driving powers of seasonal signal in sea-level change are wind and thermal expansion, and the driving mechanisms are different in different regions and seasons. The leading role is also changing with the change of time and space. Besides, the seasonal signal is influenced by Kuroshio in the Kuroshio region. The mean linear trend of sea level is 3.28 mm/a and the trend is various in different places. The low-frequency signal of the sea-level change and the low-frequency signal of the steric sea-level change have notable relevance, and the correlation coefficient is 0.55. The low-frequency signal of the steric sea-level change and the low-frequency signal of SOI have certain relevance, and the max correlation coefficient is 0.3. ENSO can affect the steric sea-level change through the atmospheric circulation and the Kuroshio, and the steric sea-level change then can influence the sea-level change in the East China Sea. Therefore, ENSO can influence sea-level change through the steric-sea level change.
Keywords:East China Sea  sea-level change  altimeter  wind-stress  thermal expansion  ENSO  steric sea level
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