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The collective contribution of atmospheric and oceanic components to ENSO asymmetry

  • Yanli Tang
  • , Lijuan Li
  • , Bin Wang
  • , Pengfei Lin
  • , Wenjie Dong
  • , Kun Xia

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Four cross-coupled models were used to investigate the relative contributions of atmospheric and oceanic components to the asymmetry of the El Niño-Southern Oscillation (ENSO). Strong El Niño and La Niña events related to the negative heat flux feedbacks were found to be determined mainly by the atmospheric component, and the stronger sea surface temperature (SST) anomalies in the warm phase did not lead to an increased SST asymmetry. The skewness of the four models could be affected by both atmospheric and oceanic components; the atmospheric component determines the strength of positive and negative SST anomalies, and the oceanic component affects the strength of the negative SST anomalies in the cold phase under the same atmospheric component group. The Bjerknes stability index (BJ index) of warm and cold phases contributed to the El Niño-La Niña SSTA asymmetries in observation, but the BJ index did not necessarily explain the El Niño-La Niña SSTA asymmetries in climate model simulations. The SST asymmetries in these four models were closely associated with convective precipitation and wind stress asymmetries, which are also determined by both the atmospheric and oceanic components.

Original languageEnglish
Article number469
JournalAtmosphere
Volume10
Issue number8
DOIs
StatePublished - Aug 1 2019

Funding

Funding: This research was funded by the National Natural Science Foundation of China (Grant Nos. 41605061; 41622503), the National Basic Research Program of China (973 Program, Grant No. 2015CB954102); the China Postdoctoral Science Foundation (Grant No. 1191005829), the National Key Research Project (Grant No. 2016YFB0200805), and the National Key Basic Research Program of China (Grant No. 2015CB954101).

Keywords

  • Convective precipitation
  • Cross-coupled models
  • ENSO asymmetry
  • Heat flux
  • Zonal wind stress

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