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ENSO modulation: real and apparent; implications for decadal prediction

  • Ying Feng
  • Ka-Kit TungEmail author
Article
  • 44 Downloads

Abstract

Because of the impact of the El Niño-Southern Oscillation (ENSO) phenomenon on regional and global weather and climate, its potential long-term predictability is an important area of study. One plausible avenue of approach that has been attempted is to study the low-frequency modulation of the ENSO phenomenon. We consider here specifically the modulation of ENSO on decadal timescales by the Pacific Decadal Oscillation (PDO). Since each phase of the PDO has decadal persistence, it was hoped that its influence on the ENSO phenomenon might have decadal predictability. However, the nature of such an influence is not yet understood. There is no doubt that PDO can affect the tropical sea-surface temperature (SST), mostly in the equatorial Central Pacific, but, is this influence through the nonlinear mechanism of amplitude and frequency modulation of ENSO? Or is it through a linear superposition of the two climate modes on tropical SST? By showing that it is largely the latter, we suggest that the problem of decadal predictability should be recast into predicting not the ENSO itself but the tropical Pacific SST, possibly opening up another avenue of research for this difficult problem.

Notes

Acknowledgements

YF was supported by Natural Science Foundation of China under Grant 41776027 and China Scholarship Council during her exchange study at University of Washington, when the work reported here was carried out. This forms part of her Ph.D. thesis under Prof. J. Y. Hu, who provided advice and support. KKT was supported in part by the Frederic and Julia Wan Endowed Professorship and by National Science Foundation, under NSF1536175. We thank Professor Norden Huang for motivating us to examine the nonlinear modulation problem and for sharing with us information on the HHS method. We thank Professor Xianyao Chen for his assistance in statistical analysis.

References

  1. An SI (2018) Impact of Pacific Decadal Oscillation on frequency asymmetry of El Niño and La Niña events. Adv Atmos Sci 35:493–494CrossRefGoogle Scholar
  2. An SI, Wang B (2000) Interdecadal change of the structure of the ENSO mode and its impact on the ENSO frequency. J Clim 13:2044–2055CrossRefGoogle Scholar
  3. Ashok K, Behera SK, Rao SA, Weng H, Yahmagata T (2007) El Niño Modoki and its possible teleconnection. J Geophys Res 112:C11007CrossRefGoogle Scholar
  4. Chen X, Tung KK (2017) Global mean surface temperature variability—space-time perspective from rotated EOFs. Clim Dyn 12:1990–2009Google Scholar
  5. Chen X, Wallace JM (2016) Orthogonal PDO and ENSO indices. J. Clim 29:3883–3892CrossRefGoogle Scholar
  6. Chen X, Wallace JM, Tung KK (2017) Pair-wise rotated EOF of global SST anomaly. J Clim 30:5473CrossRefGoogle Scholar
  7. Cobb KM, Charles CD, Cheng H, Edwards RL (2003) El Niño/Southern Oscillation and tropical Pacific climate during the last millennium. Nature 424:271–276CrossRefGoogle Scholar
  8. Di Lorenzo E et al (2008) North Pacific Gyre Oscillation links ocean climate and ecosystem change. Geophy Res Lett 36:L08607Google Scholar
  9. Ding R, Li J, Tseng Y-H, Sun C, Guo Y (2015) The Victoria mode in the North Pacific linking extratropical sea level pressure variations to ENSO. J Geophys Res 120:24–45Google Scholar
  10. Feng Y (2019) A study of ENSO diversity and its mechanisms. Xiamen University, XiamenGoogle Scholar
  11. Feng Y, Chen X, Tung KK (2019) ENSO diversity and the recent appearance of Central Pacific El Niño. Clim DynGoogle Scholar
  12. Fyfe JC, Gillett NP (2014) Recent observed and simulated warming. Nat Clim Change 4:150–151CrossRefGoogle Scholar
  13. Gu D, Philander S (1997) Interdecadal climate fluctuations that depend on exchanges between the tropics and extratropics. Science 275:805–807CrossRefGoogle Scholar
  14. Haam E, Tung KK (2012) Statistics of solar cycle-La Nina connection: correlation of two autocorrelated time series. J Atmos Sci 69:2934–2939CrossRefGoogle Scholar
  15. Huang NE et al (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond Ser A Math Phys Eng Sci 454:903–995CrossRefGoogle Scholar
  16. Huang NE et al (2016) On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data. Philos Trans R Soc Lond 374:20150206CrossRefGoogle Scholar
  17. Imada Y, Kimoto M (2009) ENSO amplitude modulation related to Pacific decadal variability. Geophysical Research Letters.  https://doi.org/10.1029/2008GL036421 CrossRefGoogle Scholar
  18. Kirtman B, Schopf PS (1998) Decadal variability in ENSO predictability and prediction. J Clim 11:2804–2822CrossRefGoogle Scholar
  19. Kravtsov S (2012) An empirical model of decadal ENSO variability. Clim Dyn 39:2377–2391CrossRefGoogle Scholar
  20. Kurtzman D, Scanlon BR (2007) El Niño-Southern Oscillation and Pacific Decadal Oscillation impacts on precipitation in the southern and central United States: evaluation of spatial distribution and predictions. Water Resource Res 43:W10427CrossRefGoogle Scholar
  21. L’Heureux ML, Lee S, Lyon B (2013) Recent multidecadal strengthening of the Walker circulation across the tropical Pacific. Nat Clim Change 3:571–576CrossRefGoogle Scholar
  22. Li J et al (2013) El Niño modulations over the past seven centuries. Nat Clim Change 3:822–826CrossRefGoogle Scholar
  23. Lin R, Zheng F, Don X (2018) ENSO frequency asymmetry and the Pacific Decadal Oscillation in observations and 19 CMIP5 model. Adv Atmos Sci 35:495–506CrossRefGoogle Scholar
  24. Lorenz E (1963) Deterministic nonperiodic flow. J Atmos Sci 20:130–141CrossRefGoogle Scholar
  25. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC (1997) A Pacific interdecadal climate oscillation with impacts on salmon production. BAMS 78:1069–1079CrossRefGoogle Scholar
  26. Newman M, Compo GP, Alexander MA (2003) ENSO-forced variability of the Pacific decadal oscillation. J. Clim 16:3853–3857CrossRefGoogle Scholar
  27. Robock A (2005) Cooling following large volcanic eruptions corrected for the effect of diffuse radiation on tree rings. Geophys Res Lett.  https://doi.org/10.1029/2004GL022116 CrossRefGoogle Scholar
  28. Sarachik E, Cane MA (2010) The El Nino-southern oscillation phenomenon. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  29. Smith TM, Reynolds R, Peterson T, Lawrimore J (2008) Improvements to NOASS’s historical merged land-ocean surface temperature analysis (1880–2006). J Clim 21:2283–2296CrossRefGoogle Scholar
  30. Sun F, Yu J-Y (2009) A 10-15-year modulation of cycle of ENSO intensity. J Clim 22:1718–1735CrossRefGoogle Scholar
  31. Takahashi K, Montecinos A, Goubanova K, Dewitte B (2011) ENso regimes: reinterpreting the canonical and Modoki El Nino. Geophys Res Lett 38:L10704CrossRefGoogle Scholar
  32. Timmermann A, Jin FF (2002) A nonlineqr mechanism for decadal El Niño amplitude changes. Geophys Res Lett 29:11003Google Scholar
  33. Tung KK, Chen X, Zhou J, Li K-F (2019) Interdecadal variability in pan-Pacific and global SST, revisited. Clim Dyn 52:2145–2157CrossRefGoogle Scholar
  34. Van Loon H, Meehl GA (2008) The response in the Pacific to the sun’s decadal peaks and contrasts to cold events in the Southern Oscillation. J Atmos Solar Terres Phys 70:1046–1055CrossRefGoogle Scholar
  35. van Loon H, Shea DJ (1999) A probable signal of the 11-year solar cycle in the troposphere of the northern hemisphere. Geophys Res Lett 26:2893–2896CrossRefGoogle Scholar
  36. Verdon DC, Franks SW (2006) Long-term behaviour of ENSO: Interactions with the PDO over the past 400 years inferred from paleoclimate records. Geophys Res Lett.  https://doi.org/10.1029/2005GL025052 CrossRefGoogle Scholar
  37. Wang XD, Liu HL (2016) PDO modulation of ENSO effect on tropical cyclone rapid intensification in the Western North Pacific. Clim Dyn 46:15–28CrossRefGoogle Scholar
  38. Wang C, Weisberg RH (1998) Climate variability of the coupled tropical-extratropical ocean-atmosphere system. Geophy Res Lett 25:3979–3982CrossRefGoogle Scholar
  39. Wittenberg AT, Rosati AJ, Delworth T, Vecchi GA, Zeng F (2014) ENSO modulation: is it decadally predictable? J Clim 27:2667–2681CrossRefGoogle Scholar
  40. Wu Z, Tan Z-M, Pietrafesa L (2019) Spectral analysis of a time series: from additive perspective to multicative perspective. Earth Space Phys (submitted) Google Scholar
  41. Yeh S-W, Kug J-S, Dewitte B, Kwon M-H, Kirtman BP, Jin FF (2009) El Niño in a changing climate. Nature 461:511–514CrossRefGoogle Scholar
  42. Yeo SR, Yeh S-W, Kim KY, Kim JW (2017) The role of low-frequency variation in the manifestation of warming trend and ENSO amplitude. Clim Dyn 49:1197–1213CrossRefGoogle Scholar
  43. Zhang Y, Wallace JM, Battisti DS (1997) ENSO-like interdecadal variability: 1900–93. J Clim 10:1004–1020CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Ocean and Earth SciencesXiamen UniversityXiamenChina
  2. 2.Department of Applied MathematicsUniversity of WashingtonSeattleUSA

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