Long-Term Sea Level Variability in the Yellow Sea and East China Sea

Ying Xu, Mingsen Lin, Q. Zheng
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Abstract

Using the satellite altimeter maps of sea level anomaly (MSLA) and tidal gauge data, this chapter gives an investigation of the long-term sea level variability (SLV) and sea level rise (SLR) rate in the Yellow Sea (YS) and East China Sea (ECS). Correlation analysis shows that the satellite altimeter is effective and capable of revealing the coastal SLV. To investigate the regional correlation of SLV in the YS and ECS, tidal gauge station data are used as references. Based on the monthly maps of correlation coefficient (CC) of SLV at tidal stations with the gridded MSLA data, we find that the existence of Kuroshio decreases the correlation between the coastal and Pacific sea levels. The empirical mode decomposition (EMD) method is applied to derive the SLR trend on each MSLA grid point in the YS and ECS. According to the two-dimensional geographical distribution of the SLR rate, one can see that the sea level on the eastern side of the Kuroshio mainstream rises faster than that on the western side. Both the YS and ECS SLR rates averaged over 1993–2010 are slower than the globally averaged SLR rate. This implies that although the SLV in the two seas is affected by global climate change, it could be mostly influenced by local effects.
黄海和东海海平面的长期变化
利用卫星高度计海平面异常图(MSLA)和测潮资料,对黄海(YS)和东海(ECS)的长期海平面变率(SLV)和海平面上升率(SLR)进行了研究。相关分析表明,卫星高度计是有效的,能够显示沿海SLV。为了研究YS和ECS中SLV的区域相关性,以潮站资料为参考。利用栅格化的MSLA数据对潮汐站SLV相关系数(CC)逐月图进行分析,发现黑潮的存在降低了沿海与太平洋海平面的相关性。应用经验模态分解(EMD)方法推导了YS和ECS中每个MSLA网格点上的SLR趋势。从单反率的二维地理分布可以看出,黑潮主流东侧海平面上升速度快于西侧海平面上升速度。1993-2010年美国和欧洲的平均单反利率都低于全球平均单反利率。这表明,尽管两海的SLV受到全球气候变化的影响,但它可能主要受到局部效应的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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