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Distinctive role of ocean advection anomalies in the development of the extreme 2015–16 El Niño

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Abstract

The recent 2015–16 El Niño was of comparable magnitude to the two previous record-breaking events in 1997–98 and 1982–83. To better understand how this event became an extreme event, we examine the underlying processes leading up to the peak of the event in comparison to those occurring in the 1997–98 and 1982–83 events. Differences in zonal wind stress anomalies are found to be an important factor. In particular, the persistent location of the zonal wind stress anomalies north of the equator during the two years prior to the 2015–16 peak contrasts the more symmetric pattern and shorter duration observed during the other two events. By using linear equatorially trapped wave theory, we determine the effect of these off-equatorial westerly winds on the amplitude of the forced oceanic Rossby and Kelvin wave response. We find a stronger upwelling projection onto the asymmetric Rossby wave during the 2-year period prior to the peak of the most recent event compared to the two previous events, which might explain the long-lasting onset. Here we also examine the ocean advective heat fluxes in the surface mixed layer throughout the event development phase. We demonstrate that, although zonal advection becomes the main contributor to the heat budget across the three events, meridional and vertical advective fluxes are significantly larger in the most recent event compared to those in 1997–98 and 1982–83. We further highlight the key role of advective processes during 2014 in enhancing the sea surface temperature anomalies, which led to the big El Niño in the following year.

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References

  • Abellán E, McGregor S (2016) The role of the southward wind shift in both, the seasonal synchronization and duration of enso events. Clim Dyn 47:509–527

    Article  Google Scholar 

  • An SI, Jin FF (2004) Nonlinearity and Asymmetry of ENSO. J Climate 17(12):2399–2412

    Article  Google Scholar 

  • An SI, Kang IS (2001) Tropical Pacific basin-wide adjustment and oceanic waves. Geophys Res Lett 28:3975–3978

    Article  Google Scholar 

  • Balmaseda MA, Mogensen K, Weaver AT (2013) Evaluation of the ECMWF ocean reanalysis system ORAS4. Quart J Roy Meteor Soc 139:1132–1161

    Article  Google Scholar 

  • Behringer DW, Xue Y (2004) Evaluation of the global ocean data assimilation system at ncep. Eighth symposium on integrated observing and assimilation system for atmosphere, ocean, and land surface, AMS 84th annual meeting. Washington State Convention and Trade Center, Seattle, pp 11–15

  • Behringer DW, Ji M, Leetmaa A (1998) An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: the ocean data assimilation system. Mon Wea Rev 126:1013–1021

    Article  Google Scholar 

  • Boucharel J, Jin FF, England MH, Dewitte B, Lin I, Huang HC, Balmaseda MA (2016a) Influence of oceanic intraseasonal Kelvin waves on the Eastern Pacific hurricane activity. J Climate 29:7941–7955

    Article  Google Scholar 

  • Boucharel J, Jin FF, England MH, Lin II (2016) Modes of hurricane activity variability in the eastern Pacific: implications for the 2016 season. Geophys Res Lett 43:11358–11366

    Article  Google Scholar 

  • de Boyer Montégut C, Madec G, Fischer AS, Lazar A, Iudicone D (2004) Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology. J Geophys Res Oceans 109(C12):003

    Google Scholar 

  • Cai W, Borlace S, Lengaigne M, van Rensch P, Collins M, Vecchi G, Timmermann A, Santoso A, McPhaden MJ, Wu L, England MH, Wang G, Guilyardi E, Jin FF (2014) Increasing frequency of extreme El Niño events due to greenhouse warming. Nature Clim Change 4:111–116

    Article  Google Scholar 

  • Cai W, Wang G, Santoso A, McPhaden MJ, Wu L, Jin FF, Timmermann A, Collins M, Vecchi G, Lengaigne M, England MH, Dommenget D, Takahashi K, Guilyardi E (2015) Increased frequency of extreme La Niña events under greenhouse warming. Nature Clim Change 5:132–137

    Article  Google Scholar 

  • Chelton DB, Wentz FJ, Gentemann CL, de Szoeke RA, Schlax MG (2000) Satellite microwave SST observations of transequatorial tropical instability waves. Geophys Res Lett 27:1239–1242

    Article  Google Scholar 

  • Chen D, Lian T, Fu C, Cane MA, Tang Y, Murtugudde R, Song X, Wu Q, Zhou L (2015) Strong influence of westerly wind bursts on El Niño diversity. Nature Geosci 8:339–345

    Article  Google Scholar 

  • Clarke A (2008) An introduction to the dynamics of El Niño and the Southern Oscillation. Academic Press, New York

    Google Scholar 

  • Collins JM, Klotzbach PJ, Maue RN, Roache DR, Blake ES, Paxton CH, Mehta CA (2015) The record-breaking 2015 hurricane season in the eastern North Pacific: An analysis of environmental conditions. Geophys Res Lett 43:9217–9224

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thépaut JN, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quart J Roy Meteor Soc 137:553–597

    Article  Google Scholar 

  • Di Lorenzo E, Mantua N (2016) Multi-year persistence of the 2014/15 North Pacific marine heatwave. Nature Clim Change 6:1042–1047

    Article  Google Scholar 

  • Dommenget D, Yu Y (2016) The seasonally changing cloud feedbacks contribution to the ENSO seasonal phase-locking. Clim Dyn 47:3661–3672

    Article  Google Scholar 

  • Du Y, Qu T, Meyers G, Masumoto Y, Sasaki H (2005) Seasonal heat budget in the mixed layer of the southeastern tropical Indian Ocean in a high-resolution ocean general circulation model. J Geophys Res Oceans 110(C04):012

    Google Scholar 

  • Fedorov A, Brown JN (2009) Equatorial waves. Encyclopedia of Ocean Sciences. Academic Press, San Diego, pp 3679–3695

    Google Scholar 

  • Hu S, Fedorov AV (2016) Exceptionally strong easterly wind burst stalling El Niño of 2014. Proc Natl Acad Sci 113:2005–2010

    Article  Google Scholar 

  • Hu S, Fedorov AV (2017) The extreme El niño of 2015–2016: the role of westerly and easterly wind bursts, and preconditioning by the failed 2014 event. Clim Dyn. https://doi.org/10.1007/s00382-017-3531-2

    Google Scholar 

  • Hua LJ, Yu YQ (2015) How are El Niño and La Niña events improves in an eddy-resolving ocean general circulation model? Atmos Ocean Sci Lett 8:245

    Google Scholar 

  • Huang B, Xue Y, Zhang D, Kumar A, McPhaden MJ (2010) The NCEP GODAS ocean analysis of the tropical pacific mixed layer heat budget on seasonal to interannual time scales. J Climate 23:4901–4925

    Article  Google Scholar 

  • Imada Y, Kimoto M (2012) Parameterization of tropical instability waves and examination of their impact on ENSO characteristics. J Climate 25:4568–4581

    Article  Google Scholar 

  • Imada Y, Tatebe H, Watanabe M, Ishii M, Kimoto M (2016) South Pacific influence on the termination of El Niño in 2014. Sci Rep 6:30341

    Article  Google Scholar 

  • Ishii M, Shouji A, Sugimoto S, Matsumoto T (2005) Objective analyses of sea-surface temperature and marine meteorological variables for the 20th century using ICOADS and the Kobe Collection. Int J Climatol 25:865–879

    Article  Google Scholar 

  • Jin FF (1997) An equatorial ocean recharge paradigm for ENSO. Part I: conceptual model. J Atmos Sci 54:811–829

    Article  Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds R, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bull Am Meteorol Soc 77:437–471

    Article  Google Scholar 

  • Kanamitsu M, Ebisuzaki W, Woollen J, Yang SK, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP-DOE AMIP-II Reanalysis (R-2). Bull Am Meteorol Soc 83:1631–1643

    Article  Google Scholar 

  • Kessler WS (1991) Can reflected extra-equatorial Rossby Waves drive ENSO? J Phys Oceanogr 21:444–452

    Article  Google Scholar 

  • Kessler WS (2002) Is ENSO a cycle or a series of events? Geophys Res Lett 29:2125

    Article  Google Scholar 

  • Latif M, Biercamp J, von Storch H (1988) The response of a coupled ocean-atmosphere general circulation model to wind bursts. J Atmos Sci 45:964–979

    Article  Google Scholar 

  • Lengaigne M, Guilyardi E, Boulanger JP, Menkes C, Delecluse P, Inness P, Cole J, Slingo J (2004) Triggering of El Niño by westerly wind events in a coupled general circulation model. Clim Dyn 23:601–620

    Article  Google Scholar 

  • Levine AFZ, McPhaden MJ (2016) How the July 2014 easterly wind burst gave the 2015–2016 El Niño a head start. Geophys Res Lett 43:6503–6510

    Article  Google Scholar 

  • L’Heureux ML, Takahashi K, Watkins AB, Barnston AG, Becker EJ, Liberto TED, Gamble F, Gottschalck J, Halpert MS, Huang B, Mosquera-Vázquez K, Wittenberg AT (2017) Observing and predicting the 2015–16 El Niño. Bull Amer Meteor Soc 98:1363–1382

    Article  Google Scholar 

  • Lorbacher K, Dommenget D, Niiler PP, Kohl A (2006) Ocean mixed layer depth: A subsurface proxy of ocean-atmosphere variability. J Geophys Res Oceans 111(C07):010

    Google Scholar 

  • Ludescher J, Gozolchiani A, Bogachev MI, Bunde A, Havlin S, Schellnhuber HJ (2014) Very early warning of next El Niño. Proc Natl Acad Sci 111:2064–2066

    Google Scholar 

  • McGregor S, Gupta AS, England MH (2012a) Constraining wind stress products with sea surface height observations and implications for pacific ocean sea level trend attribution. J Climate 25:8164–8176

    Article  Google Scholar 

  • McGregor S, Timmermann A, Schneider N, Stuecker MF, England MH (2012b) The effect of the South Pacific Convergence Zone on the termination of El Niño events and the meridional asymmetry of ENSO. J Climate 25:5566–5586

    Article  Google Scholar 

  • McGregor S, Timmermann A, Jin FF, Kessler WS (2016) Charging El Niño with off-equatorial westerly wind events. Clim Dyn 47:1111–1125

    Article  Google Scholar 

  • McPhaden MJ (1999) Genesis and evolution of the 1997–98 El Niño. Science 283:950–954

    Article  Google Scholar 

  • McPhaden MJ (2015) Playing hide and seek with El Niño. Nat Clim Change 5:791–795

    Article  Google Scholar 

  • Meinen CS, McPhaden MJ (2000) Observations of warm water volume changes in the equatorial Pacific and their relationship to El Niño and La Niña. J Climate 13:3551–3559

    Article  Google Scholar 

  • Menkes CE, Lengaigne M, Vialard J, Puy M, Marchesiello P, Cravatte S, Cambon G (2014) About the role of westerly wind events in the possible development of an El Niño in 2014. Geophys Res Lett 41:6476–6483

    Article  Google Scholar 

  • Moum JN, Perlin A, Nash JD, McPhaden MJ (2013) Seasonal sea surface cooling in the equatorial pacific cold tongue controlled by ocean mixing. Nature 500:64–67

    Article  Google Scholar 

  • Murakami H, Vecchi GA, Delworth TL, Wittenberg AT, Underwood S, Gudgel R, Yang X, Jia L, Zeng F, Paffendorf K, Zhang W (2017) Dominant role of subtropical pacific warming in extreme eastern Pacific Hurricane seasons: 2015 and the future. J Climate 30:243–264

    Article  Google Scholar 

  • Paek H, Yu JY, Qian C (2017) Why were the 2015/2016 and 1997/1998 extreme el Niños different? Geophys Res Lett 44:1848–1856

    Google Scholar 

  • Paulson CA, Simpson JJ (1977) Irradiance measurements in the upper ocean. J Phys Oceanogr 7:952–956

    Article  Google Scholar 

  • Philander SG (1990) El Niño, La Niña, and the Southern Oscillation. Academic Press, New York

    Google Scholar 

  • Philander SG, Fedorov A (2003) Is El Niño sporadic or cyclic? Ann Rev Earth Planet Sci 31:579–594

    Article  Google Scholar 

  • Qiu B (2000) Interannual Variability of the Kuroshio Extension System and Its Impact on the Wintertime SST Field. J Phys Oceanogr 30:1486–1502

    Article  Google Scholar 

  • Qu T (2003) Mixed layer heat balance in the western North Pacific. J Geophys Res Oceans 108:3242

    Article  Google Scholar 

  • Rasmusson E, Carpenter T (1982) Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Niño. Mon Wea Rev 110:353–384

    Article  Google Scholar 

  • Rasmusson EM, Arkin PA (1985) Interannual climate variability associated with the El Niño—Southern Oscillation. In: Nihoul JCJ (ed) Coupled ocean-atmosphere models. Elsevier oceanography series, vol 40. Elsevier Science Publishers, B. V, Amsterdam, pp 289–302

    Chapter  Google Scholar 

  • Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res Atmos 108:4407

    Article  Google Scholar 

  • Santoso A, Gupta AS, England MH (2010) Genesis of Indian Ocean mixed layer temperature anomalies: a heat budget analysis. J Climate 23:5375–5403

    Article  Google Scholar 

  • Santoso A, McPhaden MJ, Cai W (2017) The defining characteristics of ENSO extremes and the strong 2015/16 El Nino. Rev Geophys (in press)

  • Smith TM, Reynolds RW, Peterson TC, Lawrimore J (2008) Improvements to NOAA’s historical merged land-ocean surface temperature analysis (1880–2006). J Climate 21:2283–2296

    Article  Google Scholar 

  • Su J, Zhang R, Li T, Rong X, Kug JS, Hong CC (2010) Causes of the El Niño and La Niña amplitude asymmetry in the equatorial Eastern Pacific. J Climate 23:605–617

    Article  Google Scholar 

  • Thual S, Dewitte B, An S, Ayoub N (2011) Sensitivity of ENSO to stratification in a recharge–discharge conceptual model. J Climate 24:4332–4349

    Article  Google Scholar 

  • Tollefson J (2014) El Niño test forecasters. Nature 508:20–21

    Article  Google Scholar 

  • Uppala SM, KÅllberg PW, Simmons AJ, Andrae U, Bechtold VDC, Fiorino M, Gibson JK, Haseler J, Hernandez A, Kelly GA, Li X, Onogi K, Saarinen S, Sokka N, Allan RP, Andersson E, Arpe K, Balmaseda MA, Beljaars ACM, Berg LVD, Bidlot J, Bormann N, Caires S, Chevallier F, Dethof A, Dragosavac M, Fisher M, Fuentes M, Hagemann S, Hólm E, Hoskins BJ, Isaksen L, Janssen PAEM, Jenne R, Mcnally AP, Mahfouf JF, Morcrette JJ, Rayner NA, Saunders RW, Simon P, Sterl A, Trenberth KE, Untch A, Vasiljevic D, Viterbo P, Woollen J (2005) The ERA-40 re-analysis. Quart J Roy Meteorol Soc 131:2961–3012

  • Vialard J, Menkes C, Boulanger J, Delecluse P, Guilyardi E, McPhaden M, Madec G (2001) A model study of oceanic mechanisms affecting equatorial Pacific sea surface temperature during the 1997–98 El Niño. J Phys Oceanogr 31:1649–1675

    Article  Google Scholar 

  • Wang W, McPhaden MJ (1999) The surface layer heat balance in the equatorial Pacific Ocean. Part I: mean seasonal cycle. J Phys Oceanogr 29:1812–1831

    Article  Google Scholar 

  • Wang W, McPhaden MJ (2000) The surface-layer heat balance in the equatorial Pacific Ocean. Part II: interannual variability. J Phys Oceanogr 30:2989–3008

    Article  Google Scholar 

  • Wang W, McPhaden MJ (2001) Surface layer temperature balance in the equatorial pacific during the 1997–98 El Niño and 1998–99 La Niña. J Climate 14:3393–3407

    Article  Google Scholar 

  • Wyrtki K (1985) Water displacements in the Pacific and the genesis of El Niño cycles. J Geophys Res 90:7129–7132

    Article  Google Scholar 

  • Wyrtki K, Meyers G (1976) The trade wind field over the Pacific Ocean. J Appl Meteorol 15:698–704

    Article  Google Scholar 

  • Xue Y, Kumar A (2017) Evolution of the 2015/16 El Niño and historical perspective since 1979. Sci China Earth Sci 60:1572–1588

    Article  Google Scholar 

  • Yin Y, Alves O, Oke PR (2011) An ensemble ocean data assimilation system for seasonal prediction. Mon Wea Rev 139:786–808

    Article  Google Scholar 

  • Zavala-Garay J, Moore AM, Kleeman R (2004) Influence of stochastic forcing on ENSO prediction. J Geophys Res 109:C1107

    Article  Google Scholar 

  • Zebiak SE, Cane MA (1987) A model of El Niño-Southern Oscillation. Mon Wea Rev 115:2262–2278

    Article  Google Scholar 

  • Zhang R, Gao C (2017) Processes involved in the second-year warming of the 2015 el niño event as derived from an intermediate ocean model. Sci China Earth Sci 60:1601–1613

    Article  Google Scholar 

  • Zhang RH, Endoh M (1994) Simulation of the 1986–1987 El Niño and 1988 La Niña events with a free surface tropical Pacific Ocean general circulation model. J Geophys Res Oceans 99:7743–7759

    Article  Google Scholar 

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Acknowledgements

This study was supported by the Australian Research Council’s (ARC) through grant number DE130100663, with additional support coming via the ARC Centre of Excellence for Climate System Science. A. S. is supported by Centre for Southern Hemisphere Oceans Research (CSHOR) and the Earth Science and Climate Change Hub of the Australian Government’s National Environmental Science Programme (NESP). GODAS, NOAA-ERSST-V3 and COBE SST data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at http://www.esrl.noaa.gov/psd/. ORA-S4 and HadISST products used in this study were downloaded from the Asia-Pacific Data Research Centre (APDRC) data server (http://apdrc.soest.hawaii.edu/data/data.php). ECMWF ERA-Interim data have been obtained from the ECMWF data server (http://apps.ecmwf.int/datasets/). PEODAS was obtained from Bureau of Meteorology data server (http://opendap.bom.gov.au:8080/thredds/catalogs/bmrc-poama-catalog.html) and the Ssalto/Duacs altimeter products were produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS). The authors would also like to thank one anonymous reviewer for the constructive comments and suggestions, which substantially improved this manuscript.

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Abellán, E., McGregor, S., England, M.H. et al. Distinctive role of ocean advection anomalies in the development of the extreme 2015–16 El Niño. Clim Dyn 51, 2191–2208 (2018). https://doi.org/10.1007/s00382-017-4007-0

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