Editorial Type:
Article
Article Type:
Research Article

Analysis of the Nonlinearity of El Niño–Southern Oscillation Teleconnections

Claudia Frauen School of Mathematical Sciences, and ARC Centre of Excellence for Climate System Science, Monash University, Clayton, Victoria, Australia

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Dietmar Dommenget School of Mathematical Sciences, and ARC Centre of Excellence for Climate System Science, Monash University, Clayton, Victoria, Australia

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Nicholas Tyrrell School of Mathematical Sciences, and ARC Centre of Excellence for Climate System Science, Monash University, Clayton, Victoria, Australia

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Michael Rezny Met Office, Exeter, United Kingdom, and ARC Centre of Excellence for Climate System Science, Monash University, Clayton, Victoria, Australia

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Scott Wales University of Melbourne, and ARC Centre of Excellence for Climate System Science, Melbourne, Victoria, Australia

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Print Publication:
15 Aug 2014
DOI:
https://doi.org/10.1175/JCLI-D-13-00757.1
Page(s):
6225–6244
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Abstract

El Niño–Southern Oscillation (ENSO) has significant variations and nonlinearities in its pattern and strength. ENSO events vary in their position along the equator, with some located in the central Pacific (CP) and others in the east Pacific (EP). To study how these variations are reflected in global ENSO teleconnections, both observations and idealized atmospheric general circulation model (AGCM) simulations are analyzed. Clear nonlinearities exist in observed teleconnections of sea level pressure (SLP) and precipitation. However, it is difficult to distinguish if these are caused by the different signs, strengths, or spatial patterns of events (strong El Niño events mostly being EP events and strong La Niña events mostly being CP events) or by combinations of these. Therefore, sensitivity experiments are performed with an AGCM forced with idealized EP and CP ENSO sea surface temperature (SST) patterns with varying signs and strengths. The response is generally stronger for warm events than for cold events and the teleconnection patterns vary with changing SST anomaly patterns. EP events show stronger nonlinearities than CP events. The nonlinear responses to ENSO events can be explained as a combination of nonlinear responses to a linear ENSO (fixed pattern but varying signs and strengths) and a linear response to a nonlinear ENSO (varying patterns). Any observed event is a combination of these aspects. While in most tropical regions these add up, leading to stronger nonlinear responses than expected from the single components, in some regions they cancel each other, resulting in little overall nonlinearity. This leads to strong regional differences in ENSO teleconnections.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JCLI-D-13-00757.s1.

Corresponding author address: Claudia Frauen, School of Mathematical Sciences, Monash University, Wellington Rd., Clayton VIC 3800, Australia. E-mail: claudia.frauen@monash.edu

Abstract

El Niño–Southern Oscillation (ENSO) has significant variations and nonlinearities in its pattern and strength. ENSO events vary in their position along the equator, with some located in the central Pacific (CP) and others in the east Pacific (EP). To study how these variations are reflected in global ENSO teleconnections, both observations and idealized atmospheric general circulation model (AGCM) simulations are analyzed. Clear nonlinearities exist in observed teleconnections of sea level pressure (SLP) and precipitation. However, it is difficult to distinguish if these are caused by the different signs, strengths, or spatial patterns of events (strong El Niño events mostly being EP events and strong La Niña events mostly being CP events) or by combinations of these. Therefore, sensitivity experiments are performed with an AGCM forced with idealized EP and CP ENSO sea surface temperature (SST) patterns with varying signs and strengths. The response is generally stronger for warm events than for cold events and the teleconnection patterns vary with changing SST anomaly patterns. EP events show stronger nonlinearities than CP events. The nonlinear responses to ENSO events can be explained as a combination of nonlinear responses to a linear ENSO (fixed pattern but varying signs and strengths) and a linear response to a nonlinear ENSO (varying patterns). Any observed event is a combination of these aspects. While in most tropical regions these add up, leading to stronger nonlinear responses than expected from the single components, in some regions they cancel each other, resulting in little overall nonlinearity. This leads to strong regional differences in ENSO teleconnections.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JCLI-D-13-00757.s1.

Corresponding author address: Claudia Frauen, School of Mathematical Sciences, Monash University, Wellington Rd., Clayton VIC 3800, Australia. E-mail: claudia.frauen@monash.edu

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