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Article: Redefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO

TitleRedefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO
Authors
Issue Date1-Dec-2024
PublisherNature Research
Citation
npj Climate and Atmospheric Science, 2024, v. 7, n. 1 How to Cite?
Abstract

Understanding the co-variability between the El Niño–Southern Oscillation (ENSO) and the background state in the tropical Pacific is critical for projecting future ENSO. The difficulty is rooted in a circular logic that the background state routinely defined by multi-decadal mean modulates, and is modulated by, ENSO. This circularity arises due to the asymmetry between El Niño and La Niña, resulting in a non-zero mean, referred to as the ENSO rectification effect. Here, we develop a method based on Box-Cox normalization to define the tropical Pacific background state and its associated anomalies, which removes the ENSO rectification effect and is referred to as the normalized mean state. The normalized mean state accurately quantifies ENSO-related anomalies, ENSO asymmetry, and the ENSO rectification effect. It is evident in both observations and model simulations that the normalized mean state has a clear asymmetric impact on the amplitude of ENSO. A warm background state weakens El Niño but strengthens La Niña through two key processes: the nonlinear response of precipitation to SST and oceanic zonal advection feedback. The normalized mean state successfully solves the circular reasoning fallacy resulting from ENSO asymmetry and offers a framework to study ENSO and tropical climate dynamics with far-reaching impacts on global climate.


Persistent Identifierhttp://hdl.handle.net/10722/344682

 

DC FieldValueLanguage
dc.contributor.authorHuang, Ping-
dc.contributor.authorChen, Yue-
dc.contributor.authorLi, Jinbao-
dc.contributor.authorYan, Hong-
dc.date.accessioned2024-07-31T06:23:00Z-
dc.date.available2024-07-31T06:23:00Z-
dc.date.issued2024-12-01-
dc.identifier.citationnpj Climate and Atmospheric Science, 2024, v. 7, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/344682-
dc.description.abstract<p>Understanding the co-variability between the El Niño–Southern Oscillation (ENSO) and the background state in the tropical Pacific is critical for projecting future ENSO. The difficulty is rooted in a circular logic that the background state routinely defined by multi-decadal mean modulates, and is modulated by, ENSO. This circularity arises due to the asymmetry between El Niño and La Niña, resulting in a non-zero mean, referred to as the ENSO rectification effect. Here, we develop a method based on Box-Cox normalization to define the tropical Pacific background state and its associated anomalies, which removes the ENSO rectification effect and is referred to as the normalized mean state. The normalized mean state accurately quantifies ENSO-related anomalies, ENSO asymmetry, and the ENSO rectification effect. It is evident in both observations and model simulations that the normalized mean state has a clear asymmetric impact on the amplitude of ENSO. A warm background state weakens El Niño but strengthens La Niña through two key processes: the nonlinear response of precipitation to SST and oceanic zonal advection feedback. The normalized mean state successfully solves the circular reasoning fallacy resulting from ENSO asymmetry and offers a framework to study ENSO and tropical climate dynamics with far-reaching impacts on global climate.<br></p>-
dc.languageeng-
dc.publisherNature Research-
dc.relation.ispartofnpj Climate and Atmospheric Science-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleRedefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO-
dc.typeArticle-
dc.identifier.doi10.1038/s41612-024-00695-1-
dc.identifier.scopuseid_2-s2.0-85196659251-
dc.identifier.volume7-
dc.identifier.issue1-
dc.identifier.eissn2397-3722-
dc.identifier.issnl2397-3722-

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