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Relative contributions of interdecadal and interannual SST variations to tropical precipitation decadal mean change in the late 1990s

  • Suqi Guo
  • Renguang WuEmail author
  • Shuailei Yao
  • Jie Cao
Article

Abstract

A prominent precipitation decrease occurred over the equatorial central Pacific in the late 1990s, accompanied by precipitation increase around the Maritime Continent and over the equatorial America. Previous studies attributed the above change to La Niña-like decadal mean sea surface temperature (SST) cooling associated with a positive to negative phase switch of the Pacific Decadal Oscillation (PDO). Results of numerical experiments with an atmospheric general circulation model reveal that both the interdecadal and interannual components of SST variations contribute to the late 1990s’ precipitation reduction over the equatorial central Pacific in all the four seasons and the precipitation increase around the Maritime Continent in winter and summer. The accompanying precipitation increase over the Central America is mainly induced by the interdecadal components of SST variations. The contribution of interannual SST variations to the equatorial central Pacific precipitation decrease mostly stems from a larger rate of precipitation change with SST in positive than negative SST anomaly years, which leads to a residual decadal mean precipitation being larger during the period before than after the late 1990s. The moisture budget decomposition demonstrates that the dynamic effect associated with the vertical motion change dominates the tropical decadal mean precipitation changes in all the four seasons and the thermodynamic effect associated with the moisture change is small. This applies to the equatorial central Pacific, the Maritime Continent, and the Central America in both interdecadal and interannual SST forced simulations.

Keywords

Late 1990s precipitation change Equatorial central Pacific Interannual SST effects Rate of precipitation change with SST 

Notes

Acknowledgements

This study is supported by the National Key Research and Development Program of China grant (2016YFA0600603) and the National Natural Science Foundation of China grants (41775080, 41530425, 41475081 and 41721004). The precipitation and wind data were obtained from https://www.esrl.noaa.gov/psd/. The SST data were obtained from https://climatedataguide.ucar.edu/climate-data/sst-data-hadisst-v11/.

References

  1. Burgman RJ, Schopf PS, Kirtman BP (2008) Decadal modulation of ENSO in a hybrid coupled model. J Clim 21:5482–5500CrossRefGoogle Scholar
  2. Chen J, Del Genio AD, Carlson BE, Bosilovich MG (2008) The spatiotemporal structure of twentieth-century climate variations in observations and reanalyses. Part II: Pacific Pan-decadal variability. J Clim 21:2634–2650CrossRefGoogle Scholar
  3. Choi J, An SI, Dewitte B, Hsieh WW (2009) Interactive feedback between the tropical Pacific decadal oscillation and ENSO in a coupled general circulation model. J Clim 22:6597–6611CrossRefGoogle Scholar
  4. Choi J, An S-I, Yeh SW (2012) Decadal amplitude modulation of two types of ENSO and its relationship with the mean state. Clim Dyn 38:2631–2644.  https://doi.org/10.1007/s00382-011-1186-y CrossRefGoogle Scholar
  5. Choi JW, Lee SW, Lim BH, Kim BJ (2016) Interdecadal change of winter precipitation over southern China in late 1990s. J Meteorol Soc Jpn 94:197–213CrossRefGoogle Scholar
  6. Chou C, Neelin JD, Chen CA, Tu JY (2009) Evaluating the ‘rich-get-richer’ mechanism in tropical precipitation change under global warming. J Clim 22:1982–2005CrossRefGoogle Scholar
  7. Chung CTY, Power SB, Arblaster JM, Rashid HA, Roff GL (2014) Nonlinear precipitation response to El Niño and global warming in the Indo-Pacific. Clim Dyn 42:1837–1856.  https://doi.org/10.1007/s00382-013-1892-8 CrossRefGoogle Scholar
  8. Dong BW, Lu RY (2013) Interdecadal enhancement of the Walker circulation over the tropical Pacific in the late 1990s. Adv Atmos Sci 30(2):247–262.  https://doi.org/10.1007/s00376-012-2069-9 CrossRefGoogle Scholar
  9. Duchon CE (1979) Lanczos filtering in one and two dimensions. J Appl Meteorol 18:1016–1022CrossRefGoogle Scholar
  10. Eaton B (2012) User’s guide to the community atmosphere model CAM-5.1.1. NCAR. http://www.cesm.ucar.edu/models/cesm1.0/cam/docs/ug5_1_1/ug.pdf. Accessed 3 Sept 2017
  11. Fang Y, Chiang JCH, Chang P (2008) Variation of mean surface temperature and modulation of El Niño–Southern Oscillation variance during the past 150 years. Geophys Res Lett 35:L14709.  https://doi.org/10.1029/2008GL033761 CrossRefGoogle Scholar
  12. Frauen C, Dommenget D (2010) El Niño and La Niña amplitude asymmetry caused by atmospheric feedbacks. Geophys Res Lett 37:L18801.  https://doi.org/10.1029/2010GL044444 CrossRefGoogle Scholar
  13. Frauen C, Dommenget D, Tyrrell N, Rezny M, Wales S (2014) Analysis of the nonlinearity of El Niño–Southern Oscillation teleconnections. J Clim 27:6225–6244.  https://doi.org/10.1175/JCLI-D-13-00757.s1 CrossRefGoogle Scholar
  14. Hoerling MP, Kumar A, Zhong M (1997) El Niño, La Niña, and the nonlinearity of their teleconnections. J Clim 10:1769–1786CrossRefGoogle Scholar
  15. Hoerling MP, Kumar A, Xu TY (2001) Robustness of the nonlinear climate response to ENSO’s extreme phases. J Clim 14:1277–1293CrossRefGoogle Scholar
  16. Imada Y, Kimoto M (2009) ENSO amplitude modulation related to Pacific decadal variability. Geophys Res Lett 36:L03706.  https://doi.org/10.1029/2008GL036421 CrossRefGoogle Scholar
  17. Jo HS, Yeh SW, Lee SK (2015) Changes in the relationship in the SST variability between the tropical Pacific and the North Pacific during the 1998/99 regime shift. Geophys Res Lett 42:7171–7178.  https://doi.org/10.1002/2015GL065049 CrossRefGoogle Scholar
  18. 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 83:1631–1643CrossRefGoogle Scholar
  19. Lau NC, Nath MJ (2003) Atmosphere-ocean variations in the Indo-Pacific section during ENSO episodes. J Clim 16:3–20CrossRefGoogle Scholar
  20. Liang J, Yang XQ, Sun DZ (2012) The effect of ENSO events on the tropical Pacific mean climate: insights from an analytical model. J Clim 25:7590–7606CrossRefGoogle Scholar
  21. Lyon B, Barnston AG, DeWitt DG (2014) Tropical Pacific forcing of a 1998-1999 climate shift: observational analysis and climate model results for the boreal spring season. Clim Dyn 43:893–909.  https://doi.org/10.1007/s00382-013-1891-9 CrossRefGoogle Scholar
  22. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC (1997) A Pacific interdecadal climate oscillation with impacts on salmon production. Bull Am Meteorol Soc 78:1069–1079CrossRefGoogle Scholar
  23. Ogata T, Xie SP, Witternberg A, Sun DZ (2013) Interdecadal amplitude modulation of El Niño–Southern Oscillation and its impacts on tropical Pacific decadal variability. J Clim 26:7280–7297.  https://doi.org/10.1175/JCLI-D-12-00415.1 CrossRefGoogle Scholar
  24. Rasmusson EM, Carpenter TH (1982) Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Niño. Mon Weather Rev 110:354–384CrossRefGoogle Scholar
  25. 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 108:4407.  https://doi.org/10.1029/2002JD002670 CrossRefGoogle Scholar
  26. Rodgers KB, Friederichs P, Latif M (2004) Tropical Pacific decadal variability and its relation to decadal modulations of ENSO. J Clim 17:3761–3774CrossRefGoogle Scholar
  27. Ropelewski CF, Halpert MS (1987) Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation. Mon Weather Rev 115:1606–1626CrossRefGoogle Scholar
  28. Schopf PS, Burgman RJ (2006) A simple mechanism for ENSO residuals and asymmetry. J Clim 19:3167–3179CrossRefGoogle Scholar
  29. Sun F, Yu JY (2009) A 10–15-year modulation cycle of ENSO intensity. J Clim 22:1718–1735CrossRefGoogle Scholar
  30. Sun DZ, Zhang T (2006) A regulatory effect of ENSO on the time mean thermal stratification of the equatorial upper ocean. Geophys Res Lett 33:L07710.  https://doi.org/10.1029/2005GL025296 CrossRefGoogle Scholar
  31. Trenberth KE, Branstator GW, Karoly D, Kumar A, Lau NC, Ropelewski C (1998) Progress during TOGA in understanding and modelling global teleconnections associated with tropical sea surface temperatures. J Geophys Res 103(C7):14291–14324.  https://doi.org/10.1029/97JC01444 CrossRefGoogle Scholar
  32. Ueda H, Kamae Y, Hayasaki M, Kitoh A, Watanabe S, Miki Y, Kumai A (2015) Combined effects of recent Pacific cooling and Indian Ocean warming on the Asian monsoon. Nat Commun 6:8854.  https://doi.org/10.1038/ncomms9854 CrossRefGoogle Scholar
  33. Wang B, An S-I (2001) Why the properties of El Niño changed during the late 1970s. Geophys Res Lett 28:3709–3712CrossRefGoogle Scholar
  34. Wang B, Kang IS, Lee JY (2004) Ensemble simulations of Asian–Australian monsoon variability by 11 AGCMs. J Clim 17:803–818CrossRefGoogle Scholar
  35. Wittenberg AT (2009) Are historical records sufficient to constrain ENSO simulations? Geophys Res Lett 36:L12702.  https://doi.org/10.1029/2009GL038710 CrossRefGoogle Scholar
  36. Wu R, Kirtman BP (2005) Role of Indian and Pacific Ocean air-sea coupling in tropical atmospheric variability. Clim Dyn 25(2):155–170.  https://doi.org/10.1007/s00382-005-0003-x CrossRefGoogle Scholar
  37. Wu R, Kirtman BP (2007) Regimes of local air-sea interactions and implications for performance of forced simulations. Clim Dyn 29(4):393–410.  https://doi.org/10.1007/s00382-007-0246-9 CrossRefGoogle Scholar
  38. Xiang B, Wang B (2013) Mechanisms for the advanced Asian summer monsoon onset since the mid-to-late 1990s. J Clim 26:1993–2009CrossRefGoogle Scholar
  39. Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2588CrossRefGoogle Scholar
  40. Yeh SW, Kirtman BP (2004) Tropical Pacific decadal variability and ENSO amplitude modulation in a CGCM. J Geophys Res 109:C11009.  https://doi.org/10.1029/2004JC002442 CrossRefGoogle Scholar
  41. Yeh SW, Cai WJ, Min SK, McPhaden MJ, Dommenget D, Bewitte B, Collin M, Ashok K, An SI, Yim BY, Kug JS (2018) ENSO atmospheric teleconnections and their response to greenhouse gas forcing. Rev Geophys.  https://doi.org/10.1002/2017rg00568 Google Scholar
  42. Zhang Y, Wallace JM, Battisti DS (1997) ENSO-like interdecadal variability. J Clim 10:1004–1020CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Center for Monsoon System Research, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.College of Earth and Planetary SciencesUniversity of Chinese Academy of SciencesBeijingChina
  3. 3.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  4. 4.Department of Atmospheric SciencesYunnan UniversityKunmingChina
  5. 5.School of Earth SciencesZhejiang UniversityHangzhouChina

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