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用交叉点数据计算中国近海海平面变化
引用本文:程芦颖,许厚泽. 用交叉点数据计算中国近海海平面变化[J]. 大地测量与地球动力学, 2004, 24(2): 106-109
作者姓名:程芦颖  许厚泽
作者单位:1. 中国科学院测量与地球物理研究所,武汉,430077;西安测绘研究所,西安,710054
2. 中国科学院测量与地球物理研究所,武汉,430077
基金项目:国家自然科学基金项目 ( 40 2 740 0 2 )
摘    要:讨论了由测高卫星升、降弧段海面高在交叉点上的约束监测海平面变化的方法;用TOPEX/POSIDON测高数据计算了中国黄海、东海、南海海域的海平面变化,其中黄海、东海海域受两个月周期分量的振荡信号影响,而南海海域以年周期变化为主要表现特征;分析了3个海区海平面变化的相关性,扣除两个月的周期分量振荡信号后,其海平面变化的相关性达到90%以上;分析了海水面积随纬度带的变化对不同纬度分布的海区海平面变化量的影响。

关 键 词:海平面变化  卫星测高  中国近海  交叉点
文章编号:1671-5942(2004)02-0106-04
修稿时间:2003-12-06

SEA LEVEL VARIATION OVER CHINA SEAS FROM TOPEX/POSIDON CROSSOVERS DATA
Cheng Luying,) and Xu Houze) )Institute of Geodesy and Geophysics,CAS,Wuhan )Xi'an Research Institute of Surveying and Mapping,Xi'an. SEA LEVEL VARIATION OVER CHINA SEAS FROM TOPEX/POSIDON CROSSOVERS DATA[J]. Journal of Geodesy and Geodynamics, 2004, 24(2): 106-109
Authors:Cheng Luying  )  Xu Houze) )Institute of Geodesy  Geophysics  CAS  Wuhan )Xi'an Research Institute of Surveying  Mapping  Xi'an
Affiliation:Cheng Luying1,2) and Xu Houze1) 1)Institute of Geodesy and Geophysics,CAS,Wuhan 430077 2)Xi'an Research Institute of Surveying and Mapping,Xi'an 710054
Abstract:The method of determining sea level variation over China seas is discussed by using TOPEX/POSIDON crossovers data. The sea level variations in the regions of China seas including the Yellow Sea,the East China Sea and the South China Sea are computed. The results show that oscillatory signals for two-month period are prominent in the Yellow Sea and the East China Sea, the annual period signals are basic characteristics in the South China Sea. The correlations among the sea level variations of the three China seas are analyzed. If the oscillatory signals for two-month period are deducted from the sea level variations, the correlations reach over 90%.It is found and analyzed that the sea water areas in the three regions with different latitude are different also,and thus it influences the sea level variations.
Keywords:sea level variation   satellite altimetry   China Seas   crossover  influence
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