Quantifying impacts of two ENSO patterns on South China sea summer monsoon onset

Abstract The onset of the South China Sea (SCS) Summer Monsoon (SCSSM) is usually in May, strongly influencing the beginning of the wet season over the surrounding regions, such as South China and the Philippine Islands. The onset date is significantly affected by the El Niño-Southern Oscillation (ENSO), which manifests as two major types: the Eastern-Pacific (EP) and Central-Pacific (CP) patterns. However, the impacts of these patterns on the SCSSM onset await quantification. Here, using a novel statistical metric, binary combined linear regression, we find a dominant role of the CP pattern rather than the EP pattern, as a moderate CP El Niño/La Niña tends to cause SCSSM onset delay/advance by around 4.7/5.1 days in its decaying year. The anomalous SST structure of CP El Niño leads to persistent anomalous anti-cyclonic winds over the western North Pacific from April to June, suppressing the local convection and impeding the SCSSM winds. In comparison, the EP El Niño impact decays quickly in May and hardly affects the SCSSM onset. This, hence, weakens the relationship between the SCSSM onset and ENSO. These results help improve the SCSSM onset prediction by involving diverse ENSO impacts.

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Publication Details

Journal
Geoscience Letters
Published
2025-01-29
DOI
https://doi.org/10.1186/s40562-025-00376-8
Citations
9
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
9.95

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article

Quantifying impacts of two ENSO patterns on South China sea summer monsoon onset

Zesheng Chen, Yan Du, Lianyi Zhang, Yanping Shi et al.
9 citations
Geoscience Letters
Climate variability and models
9.95
article

Quantifying impacts of two ENSO patterns on South China sea summer monsoon onset

Zesheng Chen, Yan Du, Lianyi Zhang, Yanping Shi, Junshu Lin
article en
9 citations

Abstract

Abstract The onset of the South China Sea (SCS) Summer Monsoon (SCSSM) is usually in May, strongly influencing the beginning of the wet season over the surrounding regions, such as South China and the Philippine Islands. The onset date is significantly affected by the El Niño-Southern Oscillation (ENSO), which manifests as two major types: the Eastern-Pacific (EP) and Central-Pacific (CP) patterns. However, the impacts of these patterns on the SCSSM onset await quantification. Here, using a novel statistical metric, binary combined linear regression, we find a dominant role of the CP pattern rather than the EP pattern, as a moderate CP El Niño/La Niña tends to cause SCSSM onset delay/advance by around 4.7/5.1 days in its decaying year. The anomalous SST structure of CP El Niño leads to persistent anomalous anti-cyclonic winds over the western North Pacific from April to June, suppressing the local convection and impeding the SCSSM winds. In comparison, the EP El Niño impact decays quickly in May and hardly affects the SCSSM onset. This, hence, weakens the relationship between the SCSSM onset and ENSO. These results help improve the SCSSM onset prediction by involving diverse ENSO impacts.

Geoscience LettersVol. 12(1)
Institute of Oceanology (CN), South China Sea Institute Of Oceanology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Youth Innovation Promotion Association
Openalex Percentile: Top 2%
Climate variability and models
9.95
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