Influences of East Asian Winter Monsoon and El Niño‐Southern Oscillation Variability on the Kuroshio Intrusion to the South China Sea Over the Past 60 Years

Author:

Lin Ke12ORCID,Han Tao3,Zhang Yilin2ORCID,Shen Chuan‐Chou14ORCID,Lee Shih‐Yu5ORCID,Wang Jingyu6ORCID,Mohtar Ahmad T.2ORCID,Huang Kuo‐Fang7ORCID,Chiang Hong‐Wei5ORCID,Chen Yue‐Gau15ORCID,Wang Xianfeng2ORCID

Affiliation:

1. Department of Geosciences National Taiwan University Taipei Taiwan

2. Earth Observatory of Singapore Asian School of the Environment Nanyang Technological University Singapore Singapore

3. State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi'an China

4. Research Center for Future Earth National Taiwan University Taipei Taiwan

5. Research Center for Environmental Changes Academia Sinica Taipei Taiwan

6. National Institute of Education Nanyang Technological University Singapore Singapore

7. Institute of Earth Sciences Academia Sinica Taipei Taiwan

Abstract

AbstractThe Kuroshio intrusion (KI) is a northwestward‐flowing branch of the Kuroshio Current, which enters the South China Sea (SCS) and regulates its temperature, salinity, and water mass exchanges. However, limited direct observations hinder our understanding of KI's mechanisms and responses to climate change. Here, we present a 60‐year bi‐monthly resolved coral oxygen isotope (δ18Oc) record from Dongsha Atoll, the northern SCS. The dry‐season (December–March) δ18Oc record reveals interannual to decadal variabilities of the KI. The impact of the East Asian winter monsoon (EAWM) on Dongsha δ18Oc was more pronounced during the 1970s and 1980s and after the early 2000s, while the influence of the El Niño‐Southern Oscillation (ENSO) on Dongsha δ18Oc was higher between the 1980s and 1990s. The Pacific Decadal Oscillation (PDO) may have a relatively minor effect on KI strength or may indirectly modulate KI strength through its influence on ENSO activities. Our Dongsha δ18Oc record highlight the importance of the EAWM, ENSO, and PDO in predicting future KI changes.

Funder

National Science and Technology Council

China Postdoctoral Science Foundation

Publisher

American Geophysical Union (AGU)

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