首页|Reassessing the contributions of terrestrial waters to sea level variations in the South China Sea and its response to alternating ENSO events

Reassessing the contributions of terrestrial waters to sea level variations in the South China Sea and its response to alternating ENSO events

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Regional sea level variability is linked to regional terrestrial water and the El Niño-Southern Oscillation(ENSO).This study assessed the relationships between the sea level variations in the South China Sea(SCS)and ENSO,the impact of terrestrial water storage(TWS)on non-steric sea level(NSSL),and the contributions of steric sea level(SSL)and NSSL to sea level anomaly(SLA),respectively.From 2003 to 2015,the SLAs exhibited a long-term trend of 6.65±0.78 mm/yr,which was primarily attributed to the SSLs.Additionally,during 2003-2015,ENSO events alternating with varying intensities might also be responsible for the unusually high SLA trend.Compared to the SSLs,the NSSLs contributed the seasonal signals to the SLAs,while the NSSLs changes were largely explained by the TWS in the Mekong River Basin at the seasonal scale and in the Pearl River Basin and Red River Basin at other time scales.In contrast to the TWS,the contributions of precipitation and evapo-transpiration were relatively minor.A negative correlation between the sea level variations and ENSO was also found,with cross-correlation coeffiicients between the oceanic Niño index and SLAs/SSLs/NSSLs of-0.36/-0.37/-0.62 with lags of 2/3/2 months,respectively.These findings systematically reassessed the contributions of different components to the sea level variations.This study provided a benchmark for in-depth analysis of the impacts of terrestrial water and other potential causes on sea level rise in the SCS.

South China SeaSea level variationsTerrestrial water storageENSO

Pengfei YANG、Hok Sum FOK、Zhongtian MA

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MOE Key Laboratory of Geospace Environment and Geodesy & MNR Key Laboratory of Geophysical Geodesy,School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China

Hubei Luojia Laboratory,Wuhan 730079,China

Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong 999077,China

ECMWF,AVISO,GRACE,NOAAOcean and Climate team of Institute of Atmospheric Physics for supplying the datasets,respectivelyNatural Science Foundation of Hubei Province,ChinaNational Natural Science Foundation of China

2022CFB06441974003 & 41674007

2024

10.1007/s11430-024-1344-8

中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

影响因子：1.002
ISSN：1674-7313
年,卷(期)：2024.67(7)