Analysis of the formation mechanisms of the equatorial Pacific easterly wind surge in 1988

WANG Dazhi, LIAN Tao

Journal of Marine Sciences ›› 2025, Vol. 43 ›› Issue (3) : 1-10.

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Journal of Marine Sciences ›› 2025, Vol. 43 ›› Issue (3) : 1-10. DOI: 10.3969/j.issn.1001-909X.2025.03.001

Analysis of the formation mechanisms of the equatorial Pacific easterly wind surge in 1988

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Abstract

In 1988, the tropical Pacific experienced a strong La Niña event, during which significant equatorial Pacific easterly wind surges were observed. Analysis based on reanalysis data indicates that the intensity of the 1988 surges reached the highest level during 1982-2020. Linear regression results show that the equatorial Pacific SST gradient contributed 70.59% to the surge intensity index in 1988. Further examination of wind field characteristics after removing the influence of the SST gradient reveals that, apart from the enhanced spatial extent of the surge event in late February, both the frequency and magnitude of surges decreased significantly from mid-March onward. To gain deeper insight into the specific causes of the easterly wind surges, a typical case analysis was then conducted to investigate the triggering mechanism of a representative event. Composite analysis confirms that the strong easterly wind surge at the end of March 1988 was closely linked to the convectively active phase of a Madden-Julian Oscillation (MJO) event over the Maritime Continent, which contributed approximately 42.96% to the surge’s formation.

Key words

ENSO / La Niña / tropical Pacific / sea surface temperature gradient / easterly wind surge / MJO / subseasonal timescale / extreme events

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WANG Dazhi , LIAN Tao. Analysis of the formation mechanisms of the equatorial Pacific easterly wind surge in 1988[J]. Journal of Marine Sciences. 2025, 43(3): 1-10 https://doi.org/10.3969/j.issn.1001-909X.2025.03.001

References

[1]
MCPHADEN M J, ZEBIAK S E, GLANTZ M H. ENSO as an integrating concept in earth science[J]. Science, 2006, 314(5806): 1740-1745.
The El Niño-Southern Oscillation (ENSO) cycle of alternating warm El Niño and cold La Niña events is the dominant year-to-year climate signal on Earth. ENSO originates in the tropical Pacific through interactions between the ocean and the atmosphere, but its environmental and socioeconomic impacts are felt worldwide. Spurred on by the powerful 1997-1998 El Niño, efforts to understand the causes and consequences of ENSO have greatly expanded in the past few years. These efforts reveal the breadth of ENSO's influence on the Earth system and the potential to exploit its predictability for societal benefit. However, many intertwined issues regarding ENSO dynamics, impacts, forecasting, and applications remain unresolved. Research to address these issues will not only lead to progress across a broad range of scientific disciplines but also provide an opportunity to educate the public and policy makers about the importance of climate variability and change in the modern world.
[2]
YEH S W, CAI W J, MIN S K, et al. ENSO atmospheric teleconnections and their response to greenhouse gas forcing[J]. Reviews of Geophysics, 2018, 56(1): 185-206.
[3]
BARNSTON A G, TIPPETT M K, L’HEUREUX M L, et al. Skill of real-time seasonal ENSO model predictions during 2002-11: Is our capability increasing?[J]. Bulletin of the American Meteorological Society, 2012, 93(5): 631-651.
[4]
SUAREZ M J, SCHOPF P S. A delayed action oscillator for ENSO[J]. Journal of the Atmospheric Sciences, 1988, 45(21): 3283-3287.
[5]
JIN F F. An equatorial ocean recharge paradigm for ENSO. Part I: Conceptual model[J]. Journal of the Atmospheric Sciences, 1997, 54(7): 811-829.
[6]
TIMMERMANN A, AN S I, KUG J S, et al. El Niño-Southern Oscillation complexity[J]. Nature, 2018, 559: 535-545.
[7]
TORRENCE C, WEBSTER P J. The annual cycle of persistence in the El Niño/Southern Oscillation[J]. Quarterly Journal of the Royal Meteorological Society, 1998, 124(550): 1985-2004.
[8]
CAPOTONDI A, SARDESHMUKH P D, RICCIARDULLI L. The nature of the stochastic wind forcing of ENSO[J]. Journal of Climate, 2018, 31(19): 8081-8099.
[9]
FEDOROV A V, HU S N, LENGAIGNE M, et al. The impact of westerly wind bursts and ocean initial state on the development, and diversity of El Niño events[J]. Climate Dynamics, 2015, 44(5): 1381-1401.
[10]
FAN H J, HUANG B H, YANG S, et al. Seasonally-dependent impact of easterly wind bursts on the development of El Niño events[J]. Climate Dynamics, 2019, 53(3): 1527-1546.
[11]
CHEN D K, LIAN T, FU C B, et al. Strong influence of westerly wind bursts on El Niño diversity[J]. Nature Geoscience, 2015, 8: 339-345.
[12]
CHIODI A M, HARRISON D E. Observed El Niño SSTA development and the effects of easterly and westerly wind events in 2014/15[J]. Journal of Climate, 2017, 30(4): 1505-1519.
[13]
LIAN T, CHEN D K, TANG Y M. Genesis of the 2014-2016 El Niño events[J]. Science China Earth Sciences, 2017, 60(9): 1589-1600.
[14]
SULLIVAN A, ZHONG W X, BORZELLI G L E, et al. Generation of westerly wind bursts by forcing outside the tropics[J]. Scientific Reports, 2021, 11(1): 912.
The westerly wind burst (WWB) is an important triggering mechanism of El Niño and typically occurs in the western Pacific Ocean. The Fourier spectrum of the wind field over the western tropical Pacific is characterised by a large variety of peaks distributed from intra-seasonal to decadal time scales, suggesting that WWBs could be a result of nonlinear interactions on these time scales. Using a combination of observations and simulations with 15 coupled models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), we demonstrate that the main drivers initiating WWBs are quantifiable physical processes rather than atmospheric stochastic signals. In this study, ensemble empirical mode decomposition (EEMD) from the Holo-Hilbert spectral analysis (HHSA) is used to decompose daily zonal winds over the western equatorial Pacific into seasonal, interannual and decadal components. The seasonal element, with prominent spectral peaks of less than 12 months, is not ENSO related, and we find it to be strongly associated with the East Asian monsoon (EAM) and cross-equatorial flow (CEF) over the Australian monsoon region. The CEF is directly related to the intensity of the Australian subtropical ridge (STR-I). Both the EAM and CEF are essential sources of these high-frequency winds over the western Pacific. In contrast, the interannual wind component is closely related to El Niño occurrences and usually peaks approximately two months prior to a typical El Niño event. Finally, the decadal element merely represents a long-term trend and thus has little to no relation to El Niño. We identified EAM- and CEF-induced westerly wind anomalies in December-January-February (DJF) and September-October-November (SON). However, these anomalies fade in March-April-May (MAM), potentially undermining the usual absence of WWBs in the boreal spring. Similar results are found in CMIP6 historical scenario data.
[15]
YU L S, WELLER R A, LIU W T. Case analysis of a role of ENSO in regulating the generation of westerly wind bursts in the Western Equatorial Pacific[J]. Journal of Geophysical Research: Oceans, 2003, 108(C4): 3128.
[16]
LOVE G. Cross-equatorial influence of winter hemisphere subtropical cold surges[J]. Monthly Weather Review, 1985, 113(9): 1487-1498.
[17]
PUY M, VIALARD J, LENGAIGNE M, et al. Modulation of equatorial Pacific westerly/easterly wind events by the Madden-Julian Oscillation and convectively-coupled Rossby waves[J]. Climate Dynamics, 2016, 46(7): 2155-2178.
[18]
LIAN T, CHEN D K, TANG Y M, et al. Linkage between westerly wind bursts and tropical cyclones[J]. Geophysical Research Letters, 2018, 45(20): 11431-11438.
[19]
SEIKI A, TAKAYABU Y N. Westerly wind bursts and their relationship with intraseasonal variations and ENSO. Part I: Statistics[J]. Monthly Weather Review, 2007, 135(10): 3325-3345.
[20]
CHIODI A M, HARRISON D E. Equatorial Pacific easterly wind surges and the onset of La Niña events[J]. Journal of Climate, 2015, 28(2): 776-792.
[21]
HERSBACH H, BELL B, BERRISFORD P, et al. The ERA5 global reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2020, 146(730): 1999-2049.
[22]
HUANG B Y, LIU C Y, BANZON V, et al. Improvements of the daily optimum interpolation sea surface temperature (DOISST) version 2.1[J]. Journal of Climate, 2021, 34(8): 2923-2939.
[23]
FENG J, LIAN T. Assessing the relationship between MJO and equatorial Pacific WWBs in observations and CMIP5 models[J]. Journal of Climate, 2018, 31(16): 6393-6410.
[24]
WHEELER M, KILADIS G N. Convectively coupled equatorial waves: Analysis of clouds and temperature in the wavenumber-frequency domain[J]. Journal of the Atmospheric Sciences, 1999, 56(3): 374-399.
[25]
GILL A E. Some simple solutions for heat-induced tropical circulation[J]. Quarterly Journal of the Royal Meteorological Society, 1980, 106(449): 447-462.
[26]
ZHONG W X, CAI W J, SULLIVAN A, et al. Seasonally alternate roles of the north Pacific oscillation and the south Pacific oscillation in tropical Pacific zonal wind and ENSO[J]. Journal of Climate, 36(13): 4393-4411.
[27]
LIAN T, CHEN D K. The essential role of early-spring westerly wind burst in generating the centennial extreme 1997/98 El Niño[J]. Journal of Climate, 2021: 8377-8388.
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