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Climate Dynamics

, Volume 52, Issue 5–6, pp 3277–3289 | Cite as

Amplifying effect of ENSO on heat waves in China

  • Ming LuoEmail author
  • Ngar-Cheung Lau
Article

Abstract

This paper investigates the impacts of the El Niño Southern Oscillation (ENSO) on various aspects of heat waves (HWs), including frequency, duration, and magnitude, over China during 1961–2014. Results show that El Niño (La Niña) significantly amplifies (weakens) the HW activities in most areas of China. Such influences are particularly strong in southern China. HW activities are enhanced (weakened) during the summers following mature El Niño (La Niña) episodes, with increased (reduced) occurrence of HW events and number of HW days, as well as prolonged (shortened) duration and elevated (decreased) amplitude of such events. These amplifying effects are substantially stronger for severe HWs (i.e., hottest and longest episodes) than for those events of average duration and intensity. Diagnosis by compositing reanalysis data over ENSO events indicates that the atmospheric circulation during the summers following El Niño is characterized by anomalous rising motion over the tropical central Pacific and Indian Oceans, and sinking motion over the western North Pacific (WNP). The anomalous subsidence over the WNP is accompanied by reduced precipitation and condensational heating, as well as anomalous anticyclonic flows in the lower troposphere. El Niño also induces a stronger South Asian high, which can strengthen the WNP anticyclone and subtropical high. These changes provide a favorable environment for the occurrence and sustenance of HWs in China. Analogous arguments apply to changes with the opposite polarity in association with La Niña events.

Notes

Acknowledgements

This study is partially supported by the National Natural Science Foundation of China (no. 41401052). The appointment of NCL at The Chinese University of Hong Kong is partially supported by the AXA Research Fund.

References

  1. Arblaster JM, Alexander LV (2012) The impact of the El Niño–Southern Oscillation on maximum temperature extremes. Geophys Res Lett 39:L20702CrossRefGoogle Scholar
  2. Blackmon ML (1977) An observational study of the Northern Hemisphere wintertime circulation. J Atmos Sci 34:1040–1053CrossRefGoogle Scholar
  3. Cai W, Wang G, Santoso A, McPhaden MJ, Wu L, Jin F-F, Timmermann A, Collins M, Vecchi G, Lengaigne M (2015) Increased frequency of extreme La Niña events under greenhouse warming. Nat Clim Change 5:132–137CrossRefGoogle Scholar
  4. Chang C, Zhang Y, Li T (2000) Interannual and interdecadal variations of the East Asian summer monsoon and tropical Pacific SSTs. Part I: roles of the subtropical ridge. J Clim 13:4310–4325CrossRefGoogle Scholar
  5. Choi K-S, Kim B-J, Zhang R, Nam J-C, Park K-J, Kim J-Y, Kim D-W (2016) Possible influence of South Asian high on summer rainfall variability in Korea. Clim Dyn 46:833–846CrossRefGoogle Scholar
  6. Chou C, Tu J-Y, Yu J-Y (2003) Interannual variability of the western North Pacific summer monsoon: differences between ENSO and non-ENSO years. J Clim 16:2275–2287CrossRefGoogle Scholar
  7. Christidis N, Stott PA, Brown SJ (2011) The role of human activity in the recent warming of extremely warm daytime temperatures. J Clim 24:1922–1930CrossRefGoogle Scholar
  8. Coumou D, Rahmstorf S (2012) A decade of weather extremes. Nat Clim Change 2:491–496CrossRefGoogle Scholar
  9. Cowan T, Purich A, Perkins S, Pezza A, Boschat G, Sadler K (2014) More frequent, longer, and hotter heat waves for Australia in the twenty-first century. J Clim 27:5851–5871CrossRefGoogle Scholar
  10. Della-Marta PM, Luterbacher J, von Weissenfluh H, Xoplaki E, Brunet M, Wanner H (2007) Summer heat waves over western Europe 1880–2003, their relationship to large-scale forcings and predictability. Clim Dyn 29:251–275CrossRefGoogle Scholar
  11. Ding T, Qian W, Yan Z (2010) Changes in hot days and heat waves in China during 1961–2007. Int J Climatol 30:1452–1462Google Scholar
  12. Easterling DR, Meehl GA, Parmesan C, Changnon SA, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Science 289:2068–2074CrossRefGoogle Scholar
  13. Freychet N, Sparrow S, Tett SFB, Mineter MJ, Hegerl GC, Wallom DCH (2018a) Impacts of anthropogenic forcings and El Niño on Chinese extreme temperatures. Adv Atmos Sci 35:994–1002CrossRefGoogle Scholar
  14. Freychet N, Tett SFB, Hegerl GC, Wang J (2018b) Central-eastern China persistent heat waves: evaluation of the AMIP Models. J Clim 31:3609–3624CrossRefGoogle Scholar
  15. Gill AE (1980) Some simple solutions for heat-induced tropical circulation. Q J R Meteorol Soc 106:447–462CrossRefGoogle Scholar
  16. Grotjahn R, Black R, Leung R, Wehner MF, Barlow M, Bosilovich M, Gershunov A, Gutowski WJ, Gyakum JR, Katz RW, Lee Y-Y, Lim Y-K, Prabhat (2016) North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Clim Dyn 46:1151–1184CrossRefGoogle Scholar
  17. Gu S, Huang C, Bai L, Chu C, Liu Q (2015) Heat-related illness in China, summer of 2013. Int J Biometeorol 60:131–137CrossRefGoogle Scholar
  18. Hansen A, Bi P, Nitschke M, Ryan P, Pisaniello D, Tucker G (2008) The effect of heat waves on mental health in a temperate Australian city. Environ Health Perspect 116:1369–1375CrossRefGoogle Scholar
  19. Huang G, Qu X, Hu K (2011) The impact of the tropical Indian Ocean on South Asian high in boreal summer. Adv Atmos Sci 28:421–432CrossRefGoogle Scholar
  20. Ji Z, Kang S (2015) Evaluation of extreme climate events using a regional climate model for China. Int J Climatol 35:888–902CrossRefGoogle Scholar
  21. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White C, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne P, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471CrossRefGoogle Scholar
  22. Karl TR, Knight RW (1997) The 1995 Chicago heat wave: how likely is a recurrence? Bull Am Meteorol Soc 78:1107–1119CrossRefGoogle Scholar
  23. Keellings D, Waylen P (2015) Investigating teleconnection drivers of bivariate heat waves in Florida using extreme value analysis. Clim Dyn 44:3383–3391CrossRefGoogle Scholar
  24. Kenyon J, Hegerl GC (2008) Influence of modes of climate variability on global temperature extremes. J Clim 21:3872–3889CrossRefGoogle Scholar
  25. Kosaka Y, Nakamura H (2010) Mechanisms of meridional teleconnection observed between a summer monsoon system and a subtropical anticyclone. Part I: the Pacific–Japan pattern. J Clim 23:5085–5108CrossRefGoogle Scholar
  26. Kunkel KE, Liang X-Z, Zhu J (2010) Regional climate model projections and uncertainties of US summer heat waves. J Clim 23:4447–4458CrossRefGoogle Scholar
  27. Lau N-C, Nath MJ (2006) ENSO modulation of the interannual and intraseasonal variability of the East Asian monsoon—a model study. J Clim 19:4508–4530CrossRefGoogle Scholar
  28. Lau N-C, Nath MJ (2009) A model investigation of the role of air–sea interaction in the climatological evolution and ENSO-related variability of the summer monsoon over the South China Sea and western North Pacific. J Clim 22:4771–4792CrossRefGoogle Scholar
  29. Lau N-C, Nath MJ (2014) Model simulation and projection of European heat waves in present-day and future climates. J Clim 27:3713–3730CrossRefGoogle Scholar
  30. Lau N-C, Leetmaa A, Nath MJ, Wang H-L (2005) Influences of ENSO-induced Indo-western Pacific SST anomalies on extratropical atmospheric variability during the boreal summer. J Clim 18:2922–2942CrossRefGoogle Scholar
  31. Li Q, Liu X, Zhang H, Thomas C, David P R., E (2004) Detecting and adjusting temporal inhomogeneity in Chinese mean surface air temperature data. Adv Atmos Sci 21:260CrossRefGoogle Scholar
  32. Li H, Dai A, Zhou T, Lu J (2010) Responses of East Asian summer monsoon to historical SST and atmospheric forcing during 1950–2000. Clim Dyn 34:501–514CrossRefGoogle Scholar
  33. Li C, Lu R, Dong B (2014) Predictability of the western North Pacific summer climate associated with different ENSO phases by ENSEMBLES multi-model seasonal forecasts. Clim Dyn 43:1829–1845CrossRefGoogle Scholar
  34. Liang N, Jian L, Bin W (2017) How does the South Asian high influence extreme precipitation over eastern China? J Geophys Res Amos 122:4281–4298Google Scholar
  35. Liu B, Wu G, Mao J, He J (2013) Genesis of the South Asian high and its impact on the Asian summer monsoon onset. J Clim 26:2976–2991CrossRefGoogle Scholar
  36. Lu R-Y, Chen R-D (2016) A review of recent studies on extreme heat in China. Atmos Ocean Sci Lett 9:114–121CrossRefGoogle Scholar
  37. Luo M, Lau N-C (2017) Heat waves in southern China: synoptic behavior, long-term change, and urbanization effects. J Clim 30:703–720CrossRefGoogle Scholar
  38. Luo M, Lau N-C (2018) Synoptic characteristics, atmospheric controls, and long-term changes of heat waves over the Indochina Peninsula. Clim Dyn.  https://doi.org/10.1007/s00382-00017-04038-00386 Google Scholar
  39. Matsuno T (1966) Quasi-geostrophic motions in the equatorial area. J Meteorol Soc Japan 44:25–43CrossRefGoogle Scholar
  40. Meehl GA, Tebaldi C (2004) More intense, more frequent, and longer lasting heat waves in the 21st century. Science 305:994–997CrossRefGoogle Scholar
  41. Murari KK, Sahana AS, Daly E, Ghosh S (2016) The influence of the El Niño Southern Oscillation on heat waves in India. Meteorol Appl 23:705–713CrossRefGoogle Scholar
  42. Nitta T (1987) Convective activities in the tropical western Pacific and their impact on the Northern Hemisphere summer circulation. J Meteorol Soc Japan 65:373–390CrossRefGoogle Scholar
  43. Perkins SE (2015) A review on the scientific understanding of heatwaves—their measurement, driving mechanisms, and changes at the global scale. Atmos Res 164:242–267CrossRefGoogle Scholar
  44. Perkins SE, Alexander LV (2013) On the measurement of heat waves. J Clim 26:4500–4517CrossRefGoogle Scholar
  45. Qi L, Wang Y (2012) Changes in the observed trends in extreme temperatures over China around 1990. J Clim 25:5208–5222CrossRefGoogle Scholar
  46. Qu X, Huang G (2012) An enhanced influence of tropical Indian Ocean on the South Asia high after the late 1970s. J Clim 25:6930–6941CrossRefGoogle Scholar
  47. Rohde R, Muller R, Jacobsen R, Perlmutter S, Rosenfeld A, Wurtele J, Curry J, Wickham C, Mosher S (2013) Berkeley Earth temperature averaging process. Geoinform Geostat Overv 1:1000103Google Scholar
  48. 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
  49. Song X, Wang S, Li T, Tian J, Ding G, Wang J, Wang J, Shang K (2018) The impact of heat waves and cold spells on respiratory emergency department visits in Beijing, China. Sci Total Environ 615:1499–1505CrossRefGoogle Scholar
  50. Stott PA, Stone DA, Allen MR (2004) Human contribution to the European heatwave of 2003. Nature 432:610–614CrossRefGoogle Scholar
  51. Sun C, Li J, Ding R (2016) Strengthening relationship between ENSO and western Russian summer surface temperature. Geophys Res Lett 43:843–851CrossRefGoogle Scholar
  52. Trenberth KE (1997) The definition of El Niño. Bull Am Meteorol Soc 78:2771–2777CrossRefGoogle Scholar
  53. Uccellini LW, Koch SE (1987) The synoptic setting and possible energy sources for mesoscale wave disturbances. Mon Weather Rev 115:721–729CrossRefGoogle Scholar
  54. Wang B, Wu RG, Fu XH (2000) Pacific–East Asian teleconnection: how does ENSO affect East Asian climate? J Clim 13:1517–1536CrossRefGoogle Scholar
  55. Wang W, Zhou W, Wang X, Fong SK, Leong KC (2013) Summer high temperature extremes in southeast China associated with the East Asian jet stream and circumglobal teleconnection. J Geophys Res Amos 118:8306–8319Google Scholar
  56. Wang W, Zhou W, Chen D (2014) Summer high temperature extremes in southeast China: bonding with the El Niño–Southern Oscillation and East Asian summer monsoon coupled system. J Clim 27:4122–4138CrossRefGoogle Scholar
  57. Wang W, Zhou W, Li X, Wang X, Wang D (2016) Synoptic-scale characteristics and atmospheric controls of summer heat waves in China. Clim Dyn 46:2923–2941CrossRefGoogle Scholar
  58. Wei W, Zhang R, Wen M, Rong X, Li T (2014) Impact of Indian summer monsoon on the South Asian High and its influence on summer rainfall over China. Clim Dyn 43:1257–1269CrossRefGoogle Scholar
  59. Wei W, Zhang R, Wen M, Kim B-J, Nam J-C (2015) Interannual variation of the South Asian high and its relation with Indian and East Asian summer monsoon rainfall. J Clim 28:2623–2634CrossRefGoogle Scholar
  60. Wen QH, Zhang X, Xu Y, Wang B (2013) Detecting human influence on extreme temperatures in China. Geophys Res Lett 40:1171–1176CrossRefGoogle Scholar
  61. White CJ, Hudson D, Alves O (2014) ENSO, the IOD and the intraseasonal prediction of heat extremes across Australia using POAMA-2. Clim Dyn 43:1791–1810CrossRefGoogle Scholar
  62. Wu R, Wang B (2002) A contrast of the East Asian summer monsoon–ENSO relationship between 1962–77 and 1978–93. J Clim 15:3266–3279CrossRefGoogle Scholar
  63. Xie S-P, Hu K, Hafner J, Tokinaga H, Du Y, Huang G, Sampe T (2009) Indian Ocean capacitor effect on Indo-western Pacific climate during the summer following El Niño. J Clim 22:730–747CrossRefGoogle Scholar
  64. Xie S-P, Du Y, Huang G, Zheng X-T, Tokinaga H, Hu K, Liu Q (2010) Decadal shift in El Niño influences on Indo-western Pacific and East Asian climate in the 1970s. J Clim 23:3352–3368CrossRefGoogle Scholar
  65. Xu W, Li Q, Wang XL, Yang S, Cao L, Feng Y (2013) Homogenization of Chinese daily surface air temperatures and analysis of trends in the extreme temperature indices. J Geophys Res Amos 118:9708–9720Google Scholar
  66. Xu X, Wen C, Shangfeng C, Dingwen Z (2015) Modulation of the connection between boreal winter ENSO and the South Asian high in the following summer by the stratospheric quasi-biennial oscillation. J Geophys Res Amos 120:7393–7411Google Scholar
  67. Xue X, Chen W, Chen S (2017) The climatology and interannual variability of the South Asia high and its relationship with ENSO in CMIP5 models. Clim Dyn 48:3507–3528CrossRefGoogle Scholar
  68. Yang J, Liu Q, Xie SP, Liu Z, Wu L (2007) Impact of the Indian Ocean SST basin mode on the Asian summer monsoon. Geophys Res Lett 34:L02708Google Scholar
  69. Yang Y-J, Wu B-W, Shi C-E, Zhang J-H, Li Y-B, Tang W-A, Wen H-Y, Zhang H-Q, Shi T (2013) Impacts of urbanization and station-relocation on surface air temperature series in Anhui Province, China. Pure Appl Geophys 170:1969–1983CrossRefGoogle Scholar
  70. Yang S, Feng J, Dong W, Chou J (2014) Analyses of extreme climate events over china based on CMIP5 historical and future simulations. Adv Atmos Sci 31:1209–1220CrossRefGoogle Scholar
  71. You Q, Kang S, Pepin N, Flügel W-A, Sanchez-Lorenzo A, Yan Y, Zhang Y (2010) Climate warming and associated changes in atmospheric circulation in the eastern and central Tibetan Plateau from a homogenized dataset. Glob Planet Change 72:11–24CrossRefGoogle Scholar
  72. You Q, Kang S, Aguilar E, Pepin N, Flügel W-A, Yan Y, Xu Y, Zhang Y, Huang J (2011) Changes in daily climate extremes in China and their connection to the large scale atmospheric circulation during 1961–2003. Clim Dyn 36:2399–2417CrossRefGoogle Scholar
  73. You Q, Fraedrich K, Sielmann F, Min J, Kang S, Ji Z, Zhu X, Ren G (2014a) Present and projected degree days in China from observation, reanalysis and simulations. Clim Dyn 43:1449–1462CrossRefGoogle Scholar
  74. You Q, Min J, Fraedrich K, Zhang W, Kang S, Zhang L, Meng X (2014b) Projected trends in mean, maximum, and minimum surface temperature in China from simulations. Glob Planet Change 112:53–63CrossRefGoogle Scholar
  75. You Q, Jiang Z, Kong L, Wu Z, Bao Y, Kang S, Pepin N (2017) A comparison of heat wave climatologies and trends in China based on multiple definitions. Clim Dyn 48:3975–3989CrossRefGoogle Scholar
  76. Zhang Q, Qian YF, Zhang X (2000) Interannual and interdecadal variations of the South Asia high. Chin J Atmos Sci 24:67–78Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulationSun Yat-sen UniversityGuangzhouChina
  2. 2.Institute of Environment, Energy and SustainabilityThe Chinese University of Hong KongHong KongChina
  3. 3.Department of Geography and Resource ManagementThe Chinese University of Hong KongHong KongChina

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