文献类型：期刊文献

英文题名：Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea

作者：Chen, Wuyang[1,2];Tong, Yifeng[1,3];Li, Wei[1,3];Ding, Yang[4];Li, Junmin[1,5];Wang, Wenhua[2];Shi, Ping[1]

机构：[1]Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Ocean Remote Sensing,Typical Upw, Guangzhou 511458, Peoples R China;[2]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[3]Univ Chinese Acad Sci, Beijing 100049, Peoples R China;[4]Ocean Univ China, Key Lab Phys Oceanog, MOE, Qingdao 266100, Peoples R China;[5]Sanya Inst Ocean Ecoenvironm Engn, Sanya 572000, Peoples R China

年份：2024

卷号：16

期号：7

外文期刊名：REMOTE SENSING

收录：SCI-EXPANDED(收录号：WOS:001201551100001)、、EI(收录号：20241615921815)、Scopus(收录号：2-s2.0-85190253240)、WOS

基金：The analysis in this study was supported by the High-Performance Computing Division at the South China Sea Institute of Oceanology.

语种：英文

外文关键词：coastal upwelling; interannual variation; sea surface temperature; MODIS; topographic position index; South China Sea

外文摘要：This study scrutinizes interannual (2003-2023) variations in coastal upwelling along the Guangdong Province during summers (June-August) in the northeastern South China Sea (NESCS) by comprehensively applying the moderate-resolution imaging spectroradiometer (MODIS) remote sensing sea surface temperature (SST) and chlorophyll concentration (CHL) data and the model reanalysis product. The results show that SST and upwelling intensity in the sea area have significant (p < 0.05) rising trends in the last 21 years. The CHL shows an upward but insignificant trend, which is affected simultaneously by the rise in SST and the enhancement of upwelling. Further analysis reveals that the interannual variations in upwelling are robustly related to the wind fields' variations in the coastal region. A clockwise/counter-clockwise anomaly in the wind field centered on the NESCS facilitates alongshore/onshore winds near the Guangdong coast, which can strengthen/weaken coastal upwelling. Based on the correlation between wind field variations and large-scale climate factors, long-term variations in the upwelling intensity can be primarily predicted by the Oceanic Nino Index.