The South China Sea throughflow: linkage with local monsoon system and impact on upper thermal structure of the ocean

Qinyan Liu; Dongxiao Wang; Qiang Xie

doi:10.1007/s00343-012-1303-8

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The South China Sea throughflow: linkage with local monsoon system and impact on upper thermal structure of the ocean

Updated：2023-05-16

- The South China Sea throughflow: linkage with local monsoon system and impact on upper thermal structure of the ocean
- Journal of Oceanology and Limnology Vol. 30, Issue 6, Pages: 1001-1009(2012)
- Affiliations：
  
  1. State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology Chinese Academy of Sciences
  2. Sanya Institute of Deep-sea Science and Engineering Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/s00343-012-1303-8
  CLC：
- Online First：17 November 2012，
  
  Published：2012
- Accepted：
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Liu, Q., Wang, D. & Xie, Q. The South China Sea throughflow: linkage with local monsoon system and impact on upper thermal structure of the ocean., Chin. J. Ocean. Limnol. 30, 1001–1009 (2012). https://doi.org/10.1007/s00343-012-1303-8
DOI：

Liu, Q., Wang, D. & Xie, Q. The South China Sea throughflow: linkage with local monsoon system and impact on upper thermal structure of the ocean., Chin. J. Ocean. Limnol. 30, 1001–1009 (2012). https://doi.org/10.1007/s00343-012-1303-8 DOI：

摘要

Abstract

The tendency of South China Sea throughflow (SCSTF) variation associated with the local monsoon system

and its impact on upper-layer thermal structure

are studied using the Simple Ocean Data Assimilation (SODA) dataset

combined with Ishii reanalysis data. Luzon Strait Transport (LST) is measured and used as an index for studying the SCSTF variation. Results show that LST had an increasing tendency over the last 50 years

mainly in summer and fall. The increasing tendency was 0.017 1 Sv/a in summer and 0.027 4 Sv/a in fall

as estimated by SODA

and 0.018 0 Sv/a in summer and 0.018 9 Sv/a in fall

as estimated by “Island Rule” theory. LST increased by 0.53 Sv in JJA (June–July–August) and 0.98 Sv in SON (September–October–November) after climate shift

as inferred by SODA data. The average LST anomaly in JJA and SON is strongly related to the local monsoon system

especially to variability of the meridional wind stress anomaly after application of a 3-year running mean

with correlation coefficients 0.57 and 0.51

respectively. In addition to the basin-scale wind forcing

the local northeasterly wind stress anomaly in the SCS can push Pacific water entering the SCS more readily in JJA and SON after climate shift

and an SCSTF-associated cooling effect may favor subsurface cooling more frequently after climate shift.

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