A study of sea level variability and its long-term trend in the South China Sea
A study of sea level variability and its long-term trend in the South China Sea
复制标题
南海海平面变化及其长期趋势研究
DOI：
10.1007/s13131-016-0788-3
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发表时间：
2016-09
影响因子：
1.4
通讯作者：
YE Xiaomin
中科院分区：
文献类型：
--
作者：
XU Ying;LIN Mingsen;ZHENG Quan’an;SONG Qingtao;YE Xiaomin
摘要基于海平面异常（MSLA）数据和海位计海平面数据的卫星图，采用相关分析和经验模态分解（EMD）方法，探讨了MSLA数据、海平面相关性、长期海平面变率（SLV）趋势、海平面上升率（SLR）及其地理分布在南海的适用性。结果表明：东方站、海口站、汕尾站和闸坡站最近的MSLA网格点与潮站的相关系数最小，为0.61；这表明卫星高度计MSLA数据对观测南海沿海SLV是有效的。月尺度上，南海西部和北部沿海SLV与沿海流密切相关。在季节尺度上，夏季和冬季，南海西部沿海地区的SLV仍然受到海岸流系统的强烈影响。太平洋变化对南海的影响主要集中在冬季而非夏季，受影响区域主要集中在南海的东北部和东部。总体而言，1993-2010年南海平均单反为90.8 mm，上升速率为（5.0±0.4）mm/a。吕宋海峡南部经黄岩海山地区至西沙群岛地区的单反率高于南海其他地区。
On the basis of the satellite maps of sea level anomaly (MSLA) data andin situtidal gauge sea level data, correlation analysis and empirical mode decomposition (EMD) are employed to investigate the applicability of MSLA data, sea level correlation, long-term sea level variability (SLV) trend, sea level rise (SLR) rate and its geographic distribution in the South China Sea (SCS). The findings show that for Dongfang Station, Haikou Station, Shanwei Station and Zhapo Station, the minimum correlation coefficient between the closest MSLA grid point and tidal station is 0.61. This suggests that the satellite altimeter MSLA data are effective to observe the coastal SLV in the SCS. On the monthly scale, coastal SLV in the western and northern part of SCS are highly associated with coastal currents. On the seasonal scale, SLV of the coastal area in the western part of the SCS is still strongly influenced by the coastal current system in summer and winter. The Pacific change can affect the SCS mainly in winter rather than summer and the affected area mostly concentrated in the northeastern and eastern parts of the SCS. Overall, the average SLR in the SCS is 90.8 mm with a rising rate of (5.0±0.4) mm/a during 1993–2010. The SLR rate from the southern Luzon Strait through the Huangyan Seamount area to the Xisha Islands area is higher than that of other areas of the SCS.
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影响因子：
3.6
作者：
Carton, JA;Giese, BS;Grodsky, SA
通讯作者：
Grodsky, SA
影响因子：
1.4
作者：
R. Huang;Yan Du
通讯作者：
R. Huang;Yan Du
DOI：
10.2112/jcoastres-11a-00024.1
发表时间：
2012-03
期刊：
--
影响因子：
--
作者：
F. Baart;M. van Koningsveld;M. Stive
通讯作者：
F. Baart;M. van Koningsveld;M. Stive
DOI：
--
发表时间：
2007
期刊：
Marine Geology & Quaternary Geology
影响因子：
--
作者：
Chen Tegu
通讯作者：
Chen Tegu
影响因子：
3.7
作者：
L. Fenoglio-Marc
通讯作者：
L. Fenoglio-Marc