Skip to main content
Log in

Upper-ocean dynamical features and prediction of the super El Niño in 2015/16: A comparison with the cases in 1982/83 and 1997/98

  • Regular Articles
  • Published:
Journal of Meteorological Research Aims and scope Submit manuscript

Abstract

The 2015/16 super El Niño event has been widely recognized as comparable to the 1982/83 and 1997/98 El Niño events. This study examines the main features of upper-ocean dynamics in this new super event, contrasts them to those in the two historical super events, and quantitatively compares the major oceanic dynamical feedbacks based on a mixed-layer heat budget analysis of the tropical Pacific. During the early stage, this new event is characterized by an eastward propagation of SST anomalies and a weak warm-pool El Niño; whereas during its mature phase, it is characterized by a weak westward propagation and a westward-shifted SST anomaly center, mainly due to the strong easterly wind and cold upwelling anomalies in the far eastern Pacific, as well as the westward anomalies of equatorial zonal current and subsurface ocean temperature. The heat budget analysis shows that the thermocline feedback is the most crucial process inducing the SST anomaly growth and phase transition of all the super events, and particularly for this new event, the zonal advective feedback also exerts an important impact on the formation of the strong warming and westward-shifted pattern of SST anomalies. During this event, several westerly wind burst events occur, and oceanic Kelvin waves propagate eastwards before being maintained over eastern Pacific in the mature stage. Mean-while, there is no evidence for westward propagation of the off-equatorial oceanic Rossby waves though the discharging process of equatorial heat during the development and mature stages. The second generation El Niño prediction system of the Beijing Climate Center produced reasonable event real-time operational prediction during 2014–16, wherein the statistical prediction model that considers the preceding oceanic precursors plays an important role in the multi-method ensemble prediction of this super.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Battisti, D. S., and A. C. Hirst, 1989: Interannual variability in a tropical atmosphere–ocean model: Influence of the basic state, ocean geometry, and nonlinearity. J. Atmos. Sci., 46, 1687–1712, doi: 10.1175/1520-0469(1989)046<1687:IVIATA> 2.0.CO;2.

    Article  Google Scholar 

  • Behringer, D. W., and Y. Xue, 2004: Evaluation of the global ocean data assimilation system at NCEP: The Pacific ocean. Preprints, Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface. Seattle, WA, Amer. Meteor. Soc. 11–15.

    Google Scholar 

  • Bonjean, F., and G. S. E. Lagerloef, 2002: Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean. J. Phys. Oceanogr., 32, 2938–2954, doi: 10.1175/1520-0485(2002)032<2938:DMAAOT>2.0.CO;2.

    Article  Google Scholar 

  • Cane, M. A., M. Münnich, and S. F. Zebiak, 1990: A study of selfexcited oscillations of the tropical ocean–atmosphere system. Part I: Linear analysis. J. Atmos. Sci., 47, 1562–1577, doi: 10.1175/1520-0469(1990)047<1562:ASOSEO>2.0.CO;2.

    Article  Google Scholar 

  • Chang, P., T. Yamagata, P. Schopf, et al., 2006: Climate fluctuations of tropical coupled systems: The role of ocean dynamics. J. Climate, 19, 5122–5174, doi: 10.1175/JCLI3903.1.

    Article  Google Scholar 

  • Chao, J. P., S. Y. Yuan, Q. C. Chao, et al., 2002: A data analysis study on the evolution of the El Niño/La Niña cycle. Adv. Atmos. Sci., 19, 837–844, doi: 10.1007/s00376-002-0048-2.

    Article  Google Scholar 

  • Chen, D. K., T. Lian, C. B. Fu, et al., 2015: Strong influence of westerly wind bursts on El Niño diversity. Nature Geoscience, 8, 339–345, doi: 10.1038/ngeo2399.

    Article  Google Scholar 

  • Chen, H. C., Z. Z. Hu, B. H. Huang, et al., 2016: The role of reversed equatorial zonal transport in terminating an ENSO event. J. Climate, 29, 5859–5877, doi: 10.1175/JCLI-D-16-0047.1.

    Article  Google Scholar 

  • Chen, S. F., R. G. Wu, W. Chen, et al., 2016: Genesis of westerly wind bursts over the equatorial western Pacific during the onset of the strong 2015–2016 El Niño. Atmos. Sci. Lett., 17, 384–391, doi: 10.1002/asl.2016.17.issue-7.

    Article  Google Scholar 

  • Chen, W., 2002: Impacts of El Niño and La Niña on the cycle of the East Asian winter and summer monsoon. Chinese J. Atmos. Sci., 26, 595–610. (in Chinese)

    Google Scholar 

  • Gasparin, F., and D. H. Roemmich, 2016: The strong freshwater anomaly during the onset of the 2015/2016 El Niño. Geophys. Res. Lett., 43, 6452–6460, doi: 10.1002/2016GL069542.

    Article  Google Scholar 

  • Hu, S. N., and A. V. Fedorov, 2016: Exceptionally strong easterly wind burst stalling El Niño of 2014. Proceedings of the National Academy of Sciences of the United States of America, 113, 2005–2010, doi: 10.1073/pnas.1514182113.

    Article  Google Scholar 

  • Hu, Z.-Z., A. Kumar, B. H. Huang, et al., 2017: Interdecadal variations of ENSO around 1999/2000. J. Meteor. Res., 31, 73–81, doi: 10.1007/s13351-017-6074-x.

    Article  Google Scholar 

  • Huang, R. H., R. H. Zhang, and Q. Y. Zhang, 2000: The 1997/98 ENSO cycle and its impact on summer climate anomalies in East Asia. Adv. Atmos. Sci., 17, 348–362, doi: 10.1007/s00376-000-0028-3.

    Article  Google Scholar 

  • Jin, F.-F., 1997: An equatorial ocean recharge paradigm for ENSO. Part I: Conceptual model. J. Atmos. Sci., 54, 811–829, doi: 10.1175/1520-0469(1997)054<0811:AEORPF>2.0.CO;2.

    Article  Google Scholar 

  • Jin, F.-F., and S.-I. An, 1999: Thermocline and zonal advective feedbacks within the equatorial ocean recharge oscillator model for ENSO. Geophys. Res. Lett., 26, 2989–2992, doi: 10.1029/1999GL002297.

    Article  Google Scholar 

  • Kanamitsu, M., W. Ebisuzaki, J. Woollen, et al., 2002: NCEPDOE AMIP-II reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631–1643, doi: 10.1175/BAMS-83-11-1631.

    Article  Google Scholar 

  • Levine, A. F. Z., and M. J. McPhaden, 2016: How the July 2014 easterly wind burst gave the 2015–2016 El Niño a head start. Geophys. Res. Lett., 43, 6503–6510, doi: 10.1002/2016GL 069204.

    Article  Google Scholar 

  • Li, C. Y., 1990: Interaction between anomalous winter monsoon in East Asia and El Niño events. Adv. Atmos. Sci., 7, 36–46, doi: 10.1007/BF02919166.

    Article  Google Scholar 

  • Li, C. Y., M. Mu, G. Q. Zhou, et al., 2008: Mechanism and prediction studies of the ENSO. Chinese J. Atmos. Sci., 32, 761–781. (in Chinese)

    Google Scholar 

  • Li, Q. Q., and Q. Y. Min, 2016: A dialogue with Renhe Zhang: The heavy rainfall over southern China in the first half year of 2016 and its relation to the 2015/2016 super El Niño. Chin. Sci. Bull., 61, 2659–2662. (in Chinese)

    Google Scholar 

  • Liu, Y. M., B. Q. Liu, R. C. Ren, et al., 2016: Current super El Niño event and its impacts on climate in China in spring and summer. Bulletin of Chinese Academy of Sciences, 31, 241–250. (in Chinese)

    Google Scholar 

  • Meinen, C. S., and M. J. McPhaden, 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, do 1i:0.1175/1520-0442(2000)013<3551:OOWWVC>2.0.CO;2.

    Article  Google Scholar 

  • Min, Q. Y., J. Z. Su, R. H. Zhang, et al., 2015: What hindered the El Niño pattern in 2014? Geophys. Res. Lett., 42, 6762–6770, doi: 10.1002/2015GL064899.

    Article  Google Scholar 

  • National Climate Center, 1998: China Flooding and Climate Anomalies in 1998. China Meteorology Press, Beijing, 88–108. (in Chinese)

    Google Scholar 

  • Neelin, J. D., D. S. Battisti, A. S. Hirst, et al., 1998: ENSO theory. J. Geophys. Res., 103(C7), 14261–14290, doi: 10.1029/97JC 03424.

    Article  Google Scholar 

  • Picaut, J., F. Masia, and Y. du Penhoat, 1997: An advectivereflective conceptual model for the oscillatory nature of the ENSO. Science, 277, 663–666, doi: 10.1126/science.277. 5326.663.

    Article  Google Scholar 

  • Rayner, N. A., D. E. Parker, E. B. Horton, et al., 2003: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108, 4407, doi: 10.1029/2002JD002670.

    Article  Google Scholar 

  • Ren, H.-L., and F.-F. Jin, 2011: Niño indices for two types of ENSO. Geophys. Res. Lett., 38, L04704, doi: 10.1029/2010GL 046031.

    Article  Google Scholar 

  • Ren, H.-L., and F.-F. Jin, 2013: Recharge oscillator mechanisms in two types of ENSO. J. Climate, 26, 6506–6523, doi: 10.1175/JCLI-D-12-00601.1.

    Article  Google Scholar 

  • Ren, H.-L., F.-F. Jin, M. F. Stuecker, et al., 2013: ENSO regime change since the late 1970s as manifested by two types of ENSO. J. Meteor. Soc. Japan, 91, 835–842, doi: 10.2151/jmsj.2013-608.

    Article  Google Scholar 

  • Ren, H.-L., Y. Liu, F. F. Jin, et al., 2014: Application of the analogue-based correction of errors method in ENSO prediction. Atmos. Oceanic Sci. Lett., 7, 157–161, doi: 10.1080/16742834.2014.11447152.

    Article  Google Scholar 

  • Ren, H.-L., F.-F. Jin, B. Tian, et al., 2016a: Distinct persistence barriers in two types of ENSO. Geophys. Res. Lett., 43, 10973–10979, doi: 10.1002/2016GL071015.

    Article  Google Scholar 

  • Ren, H.-L., Y. Liu, J. Q. Zuo, et al., 2016b: The new generation of ENSO prediction system in Beijing Climate Center and its predictions for the 2014/2016 super El Niño event. Meteor. Mon., 42, 521–531. (in Chinese)

    Google Scholar 

  • Ren, H.-L., F.-F. Jin, L. C. Song, et al., 2017: Prediction of primary climate variability modes in Beijing Climate Center. J. Meteor. Res., 31, 204–223, doi: 10.1007/s13351-017-6097-3.

    Article  Google Scholar 

  • Shao, X., and B. Zhou, 2016: Monitoring and diagnosis of the 2015/2016 super El Niño event. Meteor. Mon., 42, 540–547. (in Chinese)

    Google Scholar 

  • Stramma, L., T. Fischer, D. S. Grundle, et al., 2016: Observed El Niño conditions in the eastern tropical Pacific in October 2015. Ocean Science, 12, 861–873, doi: 10.5194/os-12-861-2016.

    Article  Google Scholar 

  • Stuecker, M. F., A. Timmermann, F.-F. Jin, et al., 2013: A combination mode of the annual cycle and the El Niño/Southern Oscillation. Nature Geoscience, 6, 540–544, doi: 10.1038/ngeo1826.

    Article  Google Scholar 

  • Suarez, M. J., and P. S. Schopf, 1988: A delayed action oscillator for ENSO. J. Atmos. Sci., 45, 3283–3287, doi: 10.1175/1520-0469(1988)045<3283:ADAOFE>2.0.CO;2.

    Article  Google Scholar 

  • Wang, B., R. G. Wu, and X. H. Fu, 2000: Pacific–East Asian teleconnection: How does ENSO affect east Asian climate? J.Climate, 13, 1517–1536, doi: 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.

    Article  Google Scholar 

  • Wang, R., and H.-L. Ren, 2016: The linkage between two ENSO types/modes and the interdecadal changes of ENSO around the year 2000. Atmos. Oceanic Sci. Lett., 10, 168–174, doi: 10.1080/16742834.2016.1258952.

    Article  Google Scholar 

  • Weisberg, R. H., and C. Z. Wang, 1997: A western Pacific oscillator paradigm for the El Niño–Southern Oscillation. Geophys. Res. Lett., 24, 779–782, doi: 10.1029/97GL00689.

    Article  Google Scholar 

  • Xie, S.-P., Y. Kosaka, Y. Du, et al., 2016: Indo–western Pacific Ocean capacitor and coherent climate anomalies in post-ENSO summer: A review. Adv. Atmos. Sci., 33, 411–432, doi: 10.1007/s00376-015-5192-6.

    Article  Google Scholar 

  • Yuan, Y., H. Gao, X. L. Jia, et al., 2016: Influences of the 2014–2016 super El Niño event on climate. Meteor. Mon., 42, 532–539. (in Chinese)

    Google Scholar 

  • Zhai, P. M., R. Yu, Y. J. Guo, et al., 2016: The strong El Niño of 2015/16 and its dominant impacts on global and China’s climate. J. Meteor. Res., 30, 283–297, doi: 10.1007/s13351-016-6101-3.

    Article  Google Scholar 

  • Zhang, Q., A. Kumar, Y. Xue, et al., 2007: Analysis of the ENSO cycle in the NCEP coupled forecast model. J. Climate, 20, 1265–1284, doi: 10.1175/JCLI4062.1.

    Article  Google Scholar 

  • Zhang, R. H., A. Sumi, and M. Kimoto, 1996: Impact of El Niño on the East Asian monsoon: A diagnostic study of the '86/87 and '91/92 events. J. Meteor. Soc. Japan, 74, 49–62.

    Article  Google Scholar 

  • Zhang, W. J., F.-F. Jin, J. P. Li, et al., 2011: Contrasting impacts of two-type El Niño over the western North Pacific during boreal autumn. J. Meteor. Soc. Japan, 89, 563–569, doi: 10.2151/jmsj.2011-510.

    Article  Google Scholar 

  • Zhang, W. J., F.-F. Jin, H.-L. Ren, et al., 2012: Differences in teleconnection over North Pacific and rainfall shift over the USA associated with two types of El Niño during boreal autumn. J. Meteor. Soc. Japan, 90, 535–552, doi: 10.2151/jmsj.2012-407.

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the three anonymous reviewers for their insightful comments, which helped improve the quality of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong-Li Ren.

Additional information

Supported by the China Meteorological Administration Special Public Welfare Research Fund (GYHY201506013), National Natural Science Foundation of China (41606019, 41605116, and 41405080), and Project for Development of Key Techniques in Meteorological Operation Forecasting (YBGJXM201705).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ren, HL., Wang, R., Zhai, P. et al. Upper-ocean dynamical features and prediction of the super El Niño in 2015/16: A comparison with the cases in 1982/83 and 1997/98. J Meteorol Res 31, 278–294 (2017). https://doi.org/10.1007/s13351-017-6194-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13351-017-6194-3

Key words

Navigation