Abstract
The effects of El Niño-Southern Oscillation (ENSO) on winter precipitation in South China are considerably asymmetric. A positive correlation is significant between the sea surface temperature anomalies (SSTA) in the equatorial middle-eastern Pacific and the precipitation in South China during El Niño winters, whereas no significant relationship instead of a negative correlation between them during La Niña winters. The possible causes of abnormally positive precipitation in South China during La Niña winters remain a puzzle. The analysis indicates that positive precipitation anomalies in South China during La Niña winters are closely related to the strengthening of southerly winds over the South China Sea and convective activities over South China. Moreover, during La Niña winters, the low-level southerly wind anomalies over the South China Sea are modulated by an anomalous positive local zonal sea surface temperature gradient (SSTG) between the South China Sea and the tropical western Pacific, which strengthens in late autumn and maintains through the following winter. This positive local zonal SSTG is independent of La Niña and leads to the weakening of Walker circulation. The strengthened downward motion over the tropical western Pacific further promotes the weakening of local Hadley circulation. Weakened local Hadley circulation, with strengthened southerlies over the South China Sea in the lower troposphere, is conducive to the enhancement of water vapor transport from the South China Sea to South China. Besides, the weakened local Hadley circulation also shows strengthened upward motion over South China, which provides more advantageous dynamic conditions for precipitation. Therefore, the positive local zonal SSTG simultaneously promotes the two most important conditions affecting precipitation, resulting in positive precipitation anomalies over South China during La Niña winters. These results advance the understanding of prediction of winter precipitation in south China.
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The data that support the finding of this study are available from the following resources: https://cmdp.ncc-cma.net/cn/index.htm. https://psl.noaa.gov/thredds/catalog/Datasets/ncep.reanalysis/Monthlies/pressure/catalog.html. https://psl.noaa.gov/thredds/catalog/Datasets/noaa.ersst.v5/catalog.html. https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php.
References
Bjerknes J (1969) Atmospheric teleconnections from the equatorial Pacific. Mon Weather Rev 97:163–172
Chen W (2002) Impacts of El Niño and La Niña on the cycle of the East Asian winter and summer monsoon. Chin J Atmos Sci 26(5):595–610
Chen D, Cane MA, Kaplan A, Zebiak SE, Huang D (2004) Predictability of El Niño over the past 148 years. Nature 428:733–736. https://doi.org/10.1038/nature02439
Chen JP, Wen ZP, Wu RG, Chen ZS, Zhao P (2014) Interdecadal changes in the relationship between southern China winter–spring precipitation and ENSO. Clim Dyn 43:1327–1338. https://doi.org/10.1007/s00382-013-1947-x
Fang GH, Wang G, Fang Y, Fang WD (2012) A review on the South China Sea western boundary current. Acta Oceanol Sin 31:1–10. https://doi.org/10.1007/s13131-012-0231-y
Gao H, Yang S (2009) A severe drought event in northern China in winter 2008–2009 and the possible influences of La Niña and Tibetan Plateau. J Geophys Res Atmos 114:D24104. https://doi.org/10.1029/2009JD012430
Gao T, Zhang Q, Luo M (2020) Intensifying effects of El Niño events on winter precipitation extremes in southeastern China. Clim Dyn 54:631–648. https://doi.org/10.1007/s00382-019-05022-6
Hardiman SC, Dunstone NJ, Scaife AA, Bett PE, Li CF, Lu B, Ren HL, Smith DM, Stephan CC (2018) The asymmetric response of Yangtze river basin summer rainfall to El Niño/La Niña. Environ Res Lett 13:024015. https://doi.org/10.1088/1748-9326/aaa172
Hu JY, Kawamura H, Hong HS, Qi YQ (2000) A review on the currents in the South China Sea: Seasonal circulation, South China Sea warm current and Kuroshio intrusion. J Oceanogr 56:607–624. https://doi.org/10.1023/A:1011117531252
Huang WY, Yang ZF, He XS, Lin DY, Wang B, Wright JS, Chen RY, Ma WQ, Li FF (2019) A possible mechanism for the occurrence of wintertime extreme precipitation events over South China. Clim Dyn 52:2367–2384. https://doi.org/10.1007/s00382-018-4262-8
Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCAR 40-year reanalysis project. Bull Amer Meteor Soc 77(3):437–472. https://doi.org/10.1175/1520-0477(1996)077%3c0437:TNYRP%3e2.0.CO;2
King AD, Alexander LV, Donat MG (2013) Asymmetry in the response of eastern Australia extreme rainfall to low-frequency Pacific variability. Geophys Res Lett 40(10):2271–2277. https://doi.org/10.1002/grl.50427
Klein SA, Soden BJ, Lau NC (1999) Remote sea surface temperature variations during ENSO: Evidence for a tropical atmospheric bridge. J Clim 12:917–932. https://doi.org/10.1175/1520-0442(1999)012%3c0917:RSSTVD%3e2.0.CO;2
Li C, Ma H (2012) Relationship between ENSO and winter rainfall over Southeast China and its decadal variability. Adv Atmos Sci 29:1129–1141. https://doi.org/10.1007/s00376-012-1248-z
Li XT, Wang CZ, Lan J (2021) Role of the South China Sea in Southern China rainfall: meridional moisture flux transport. Clim Dy 56:2551–2568. https://doi.org/10.1007/s00382-020-05603-w
Liu Q, Jiang X, Xie SP, Liu WT (2004) A gap in the Indo-Pacific warm pool over the South China Sea in boreal winter: Seasonal development and interannual variability. J Geophys Res 109:C07012. https://doi.org/10.1029/2003JC002179
Liu YY, Hu ZZ, Wu RG (2020) Cooperative effects of tropical Pacific and Atlantic SST forcing in southern China winter precipitation variability. Clim Dyn 55:2903–2919. https://doi.org/10.1007/s00382-020-05430-z
McCreary JP, Anderson DLT (1991) An overview of coupled ocean–atmosphere models of El Niño and the Southern Oscillation. J Geophys Res 96:3125–3150
Mu MQ (2001) A further research on the cyclic relationship between anomalous East-Asian Winter Monsoon and ENSO. Clim Environ Res 6(3):273–285
Philander SG (1990) El Niño, La Niña, and the Southern Oscillation. Int Geophys 46:1–289
Qiao SB, Zou M, Cheung HN, Liu JY, Zuo JQ, Li QX, Feng GL, Dong WJ (2021) Contrasting interannual prediction between January and February Temperature in Southern China in the NCEP climate forecast system. J Clim 34:2791–2812. https://doi.org/10.1175/JCLI-D-20-0568.1
Qu TD, Kim YY, Yaremchuk M, Tozuka T, Ishida A, Yamagata T (2004) Can Luzon Strait transport play a role in conveying the impact of ENSO to the South China Sea? J Clim 17(18):3644–3657. https://doi.org/10.1175/1520-0442(2004)017%3c3644:CLSTPA%3e2.0.CO;2
Reynolds RW, Smith TM, Liu CY, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analysis for sea surface temperature. J Clim 20(22):5473–5496. https://doi.org/10.1175/2007JCLI1824.1
Tangang F, Farzanmanesh R, Mirzaei A, Supari S, Salimun E, Jamaluddin AF, Juneng L (2017) Characteristics of precipitation extremes in Malaysia associated with El Niño and La Niña events. Int J Climatol 37(2):696–716. https://doi.org/10.1002/joc.5032
Tao SY, Zhang QY (1998) Response of the Asian winter and summer monsoon to ENSO events. Chin J Atmos Sci 22(4):399–407
Trenberth KE, Stepaniak DP, Caron JM (2000) The global monsoon as seen through the divergent atmospheric circulation. J Clim 13:3969–3993
Wang C, Fiedler PC (2006) ENSO variability and the eastern tropical Pacific: a review. Prog Oceanogr 69:239–266. https://doi.org/10.1016/j.pocean.2006.03.004
Wang B, Zhang Q (2002) Pacific-East Asian teleconnection Part II:how the Philippine Sea anomalous anticyclone is established during El Niño development? J Clim 15(22):3252–3265
Wang B, Wu RG, Fu XH (2000) Pacific-East Asian teleconnection: how does ENSO affect Asian Climate? J Clim 13(9):1517–1536. https://doi.org/10.1175/1520-0442(2000)013%3c1517:PEATHD%3e2.0.CO;2
Wang CZ, Wang WQ, Wang DX, Wang Q (2006) Interannual variability of the South China Sea associated with El Niño. J Geophys Res. https://doi.org/10.1029/2005JC003333
Wang Q, Cai WJ, Zeng LL, Wang DX (2018) Nonlinear meridional moisture advection and the ENSO-southern China rainfall teleconnection. Geophys Res Lett 45(9):4353–4360. https://doi.org/10.1029/2018GL077446
Wang LJ, Wang L, Liu YY, Chen W (2019) The 2017–2018 Winter drought in North China and its causes. Atmosphere 10(2):60. https://doi.org/10.3390/atmos10020060
Wang Q, Zeng LL, Shu YQ, Liu QY, Zu TT, Li J, Chen J, He YK, Wang DX (2020) Interannual variability of South China Sea winter circulation: Response to Luzon Strait transport and El Niño wind. Clim Dyn 54:1145–1159. https://doi.org/10.1007/s00382-019-05050-2
Wang Q, Wang YX, Sui JP, Zhou WD, Li DN (2021) Effects of weak and strong winter currents on the thermal state of the South China Sea. J Clim 34(1):313–325. https://doi.org/10.1175/JCLI-D-19-0790.1
Wang Q, Zhong WX, Yang S, Wang JB, Zeng LL, Chen J, He YK (2022) Southern China winter rainfall modulated by South China Sea warming. Geophys Res Lett 49(5):e2021GL09781. https://doi.org/10.1029/2021GL097181
Webster PJ, Yang S (1992) Monsoon and ENSO: selectively interactive systems. Quart J Roy Meteor Soc 118(507):877–926. https://doi.org/10.1002/qj.49711850705
Wen M, Yang S, Kumar A, Zhang PQ (2009) An analysis of the Large-Scale climate anomalies associated with the snowstorms affecting China in January 2008. Mon Wea Rev 137:1111–1131
Xie W, Li N, Li CH, Wu JD, Hu AJ, Hao XL (2014) Quantifying cascading effects triggered by disrupted transportation due to the Great 2008 Chinese Ice Storm: implications for disaster risk management. Nat Hazards 70:337–352. https://doi.org/10.1007/s11069-013-0813-9
Yuan Y, Li CY, Yang S (2014) Decadal anomalies of winter precipitation over southern China in association with El Niño and La Niña. Acta Meteorol Sin 28:91–110. https://doi.org/10.1007/s13351-014-0106-6
Zhang RH, Sumi A, Kimoto M (1996) Impact of El nino on the East Asian monsoon: A diagnostic study of the ‘86/87 and ‘91/92 events. J Meteor Soc Jpn 74(1):49–62. https://doi.org/10.2151/jmsj1965.74.1_49
Zhang ZY, Gong DY, Hu M, Guo D, He XZ, Lei YN (2009) Anomalous winter temperature and precipitation events in southern China. J Geogr Sci 19:471–488. https://doi.org/10.1007/s11442-009-0471-8
Zhang L, Zhu XH, Fraedrich K, Sielmann F, Zhi XF (2014) Interdecadal variability of winter precipitation in Southeast China. Clim Dyn 43:2239–2248. https://doi.org/10.1007/s00382-014-2048-1
Zhang L, Sielmann F, Fraedrich K, Zhu XH, Zhi XF (2015a) Variability of winter extreme precipitation in Southeast China: contributions of SST anomalies. Clim Dyn 45(9):2557–2570. https://doi.org/10.1007/s00382-015-2492-6
Zhang RH, Li TR, Wen M, Liu LK (2015b) Role of intraseasonal oscillation in asymmetric impacts of El Niño and La Niña on the rainfall over southern China in boreal winter. Clim Dyn 45:559–567. https://doi.org/10.1007/s00382-014-2207-4
Zhou LT, Wu RG (2010) Respective impacts of the East Asian winter monsoon and ENSO on winter rainfall in China. J Geophys Res Atmos 115:D02107. https://doi.org/10.1029/2009JD012502
Zhou LT, Tam CY, Zhou W, Chan JCL (2010) Influence of South China Sea SST and the ENSO on winter rainfall over South China. Adv Atmos Sci 27(4):832–844. https://doi.org/10.1007/s00376-009-9102-7
Zhou BZ, Gu LT, Ding YH, Shao L, Wu ZM, Yang XS, Li CZ, Li ZC, Wang XM, Cao YH, Zeng BS, Yu MK, Wang MY, Wang SK, Sun HG, Duan AG, An YF, Wang X, Kong WJ (2011) The great 2008 Chinese ice storm: Its socioeconomic–ecological impact and sustainability lessons learned. Bull Am Meteorol Soc 92(1):47–60. https://doi.org/10.1175/2010BAMS2857.1
Zu TT, Xue HJ, Wang DX, Geng BX, Zeng LL, Liu QY, Chen J, He YK (2019) Interannual variation of the South China Sea circulation during winter: Intensified in the southern basin. Clim Dyn 52:1917–1933. https://doi.org/10.1007/s00382-018-4230-3
Acknowledgements
This work was jointly funded by the Key Program of the National Natural Science Foundation of China (42130610, U2142207), and the General Program of the National Natural Science Foundation of China (41975088, 42175028). We express sincere gratitude to the reviewers for their constructive comments and suggestions. Their advice will benefit the improvement of the paper and our future research.
Funding
This work was jointly funded by the Key Program of the National Natural Science Foundation of China (42130610, U2142207), and the General Program of the National Natural Science Foundation of China (41975088, 42175028).
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RZ and GF bring forward the main idea of this article. RZ, ZZ and SQ designed the study and analyzed the data. RZ wrote the main manuscript text and prepared all the figures. All authors reviewed the manuscript.
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Zhi, R., Zheng, Z., Qiao, S. et al. Causes of positive precipitation anomalies in South China during La Niña winters. Clim Dyn 61, 3343–3352 (2023). https://doi.org/10.1007/s00382-023-06738-2
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DOI: https://doi.org/10.1007/s00382-023-06738-2