A study of sea level variability and its long-term trend in the South China Sea  

作　　者：XU Ying LIN Mingsen ZHENG Quan'an SONG Qingtao YE Xiaomin 

机构地区：[1]College of Information Science and Engineering,Ocean University of China [2]National Satellite Ocean Application Service,State Oceanic Administration [3]Key Laboratory of Space Ocean Remote Sensing and Application,State Oceanic Administration [4]Department of Atmospheric and Oceanic Science,University of Maryland,College Park

出　　处：《Acta Oceanologica Sinica》2016年第9期22-33,共12页海洋学报（英文版）

基　　金：The Public Science and Technology Research Funds Projects of Ocean under contract Nos 201105032 and 201305032;the National High Technology Research and Development Program(863 Program)of China under contract No.2013AA09A505;the National Programme on Global Change and Air-Sea Interaction under contract No.GASI-02-SCS-YGST2-02;the National Natural Science Foundation of China under contract Nos 41506207 and U1406404

摘　　要：On the basis of the satellite maps of sea level anomaly（MSLA） data and in situ tidal 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 during1993–2010.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.On the basis of the satellite maps of sea level anomaly（MSLA） data and in situ tidal 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 during1993–2010.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.

关 键 词：South China Sea sea level variability correlation analysis empirical mode decomposition 

分 类 号：P731.23[天文地球—海洋科学] P618.13