Abstract

Although the impact of the extratropical Pacific signal on the El Niño–Southern Oscillation has attracted increasing concern, the impact of Southern Hemisphere Annular Mode (SAM)-related signals from outside the southern Pacific Basin on the equatorial sea temperature has received less attention. This study explores the lead correlation between the April–May (AM) SAM and central tropical Pacific sea temperature variability over the following three seasons. For the positive AM SAM case, the related simultaneous warm SST anomalies in the southeastern Indian Ocean favor significant regulation of vertical circulation in the Indian Ocean with anomalous ascending motion in the tropics. This can further enhance convection over the Marine Continent, which induces a significant horizontal Kelvin response and regulates the vertical Walker circulation. These two processes both result in the anomalous easterlies east of 130° E in the equatorial Pacific during AM. These easterly anomalies favor oceanic upwelling and eastward propagation of the cold water into the central Pacific. The cold water in turn amplifies the development of the easterly wind and further maintains the cold water into the boreal winter. The results presented here not only provide a possible link between extratropical climate variability in the Indian Ocean and climate variation in the equatorial Pacific, but also shed new light on the short-term prediction of tropical central Pacific sea temperature.

Highlights

  • The tropics are generally considered to be the driving force of the global climate system, and the El Niño–Southern Oscillation (ENSO) is seen as the typical representation of the interannual tropical coupled air–sea interaction mode

  • The present study aims to identify the possible impact of the April–May (AM Southern Hemisphere (SH) annular mode (SAM)) on sea temperature during the subsequent three seasons in the central Pacific Ocean and to investigate the corresponding contribution of air–sea interaction processes originating from the Indian Ocean

  • The most notable feature is that the preceding AM SAM index (SAMI) shows a significant negative correlation with the DJF Modoki index, with a correlation coefficient (r) of − 0.36 that is significant at the 95% confidence level (Fig. 1a)

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Summary

Introduction

The tropics are generally considered to be the driving force of the global climate system, and the El Niño–Southern Oscillation (ENSO) is seen as the typical representation of the interannual tropical coupled air–sea interaction mode. Observational and modeling studies have correlated the preceding extratropical air–sea signal in the Northern Hemisphere (NH) with the subsequent development of the ENSO, which allows the extratropical influence to propagate into the tropical Pacific Ocean via various air–sea interactions (Anderson 2004; Alexander et al 2010; Boschat et al 2013; Chang et al 2007; Ding et al 2015a, 2017; Li et al 2014; Tseng et al, 2017; Vimont et al 2001, 2003; Wang et al 2012; Zhang et al 2009a, b) This influence occurs because atmospheric fluctuations in the extratropical NH can imprint their signals onto the local sea surface temperature (SST) via air–sea interactions, and the corresponding SST footprints can persist for several seasons and regulate the atmospheric circulation.

Datasets
Observational evidence
SST anomalies corresponding to the AM SAM and DJF Modoki
Atmospheric response to anomalous SST in the SEIO
Summary and discussion
Full Text
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