Abstract
Understanding the changing characteristics and related mechanisms behind precipitation extremes is crucial for developing adaptive measures of water resource management as well as flood risk management. Based on daily precipitation measurement taken at 57 meteorological stations from 1960 to 2016, the variability of precipitation extremes over the Yangtze River Delta (YRD) is analyzed utilizing a Mann-Kendall trend test as well as a Hurst exponent analysis. Moreover, the climatic teleconnection that occurs from large-scale atmospheric circulation and such precipitation extremes is also investigated with the help of a wavelet coherence analysis. Results indicate that most extreme precipitation indices predominantly exhibit significant positive trends, indicating a wetting trend in the YRD over the past 61 years. Meanwhile, the contribution of precipitation of very wet days to annual total wet-day precipitation increased significantly. Furthermore, the increasing trend of precipitation extremes in the YRD is found to be attributable to the frequency and intensity, rather than to the duration of extreme precipitation events. The patterns of variation in these precipitation extremes reveal dramatic spatial heterogeneity, with extreme events concentrated primarily along the coastal plains. Overall, the YRD will likely face more severe flood risks in the foreseeable future. This is especially the case for the southern and central-western regions of the YRD. In contrast, the northern region of the YRD is forecast to become drier over time. The increasing trends in precipitation extremes for the YRD observed in this study are found to be linked closely with the positive anomalies of the El Niño-Southern Oscillation as well as the negative anomalies of the East Asian summer monsoon.
Similar content being viewed by others
References
Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipou A, Rupa Kumar K, Revadeka J, Griffiths G, Vincent L, Stephenson DB, Burn J, Aguilar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M, Vazquez-Aguirre JL (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res 111:D05109
Asadieh B, Krakauer NY (2015) Global trends in extreme precipitation: climate models versus observations. Hydrol Earth Syst Sci 19(2):877–891
Bourrel L, Rau P, Dewitte B, Labat D, Lavado W, Coutaud A, Vera A, Alvarado A, Ordoñez J (2015) Low-frequency modulation and trend of the relationship between ENSO and precipitation along the northern to Centre Peruvian Pacifc coast. Hydrol Process 29(6):1252–1266
Chen L, Qu X, Huang G, Gong YF (2018) Projections of east Asian summer monsoon under 1.5 °C and 2 °C warming goals. Theor Appl Climatol. https://doi.org/10.1007/s00704-018-2720-1
China Statistical Publishing (2017) National Bureau of statistics of the People's Republic of China. China Statistical Yearbook. (in Chinese)
Cleveland WS, Devlin SJ (1988) Locally weighted regression: an approach to regression analysis by local fitting. J Am Stat Assoc 83:596–610
Curriero FC, Patz JA, Rose JB, Lele S (2001) The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948-1994. Am J Public Health 91(8):1194–1199
Curtis S (2008) The Atlantic multidecadal oscillation and extreme daily precipitation over the US and Mexico during the hurricane season. Clim Dyn 30(4):343–351
Dietz EJ, Killeen TJ (1981) A nonparametric multivariate test for monotone trend with pharmaceutical applications. J Am Stat Assoc 76:169–174
Donat MG, Alexander LV, Yang H, Durre I, Vose R, Dunn RJH, Willett KM, Aguilar E, Brunet M, Caesar J, Hewitson B, Jack C, Klein TAMG, Kruger AC, Marengo J, Peterson TC, Renom M, Oria Rojas C, Rusticucci M, Salinger J, Elrayah AS, Sekele SS, Srivastava AK, Trewin B, Villarroel C, Vincent LA, Zhai P, Zhang X, Kitching S (2013) Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset. J Geophys Res 118:2098–2118
Donat MG, Andrew LL, Alexander LV, O’Gorman PA, Maher N (2016) More extreme precipitation in the world’s dry and wet regions. Nat Clim Chang 6:508–513
Duan WL, He B, Takara K, Luo PP, Hu MC, Alias NE, Nover D (2015) Changes of precipitation amounts and extremes over Japan between 1901 and 2012 and their connection to climate indices. Clim Dyn 45:2273–2292
Duhan D, Pandey A (2013) Statistical analysis of long term spatial and temporal trends of precipitation during 1901–2002 at Madhya Pradesh. India Atmos Res 122(3):136–149
Fletcher TD, Andrieu H, Hamel P (2013) Understanding, management and modelling of urban hydrology and its consequences for receiving waters: a state of the art. Adv Water Resour 51:261–279
Fu GB, Yu JJ, Yu XB, Ouyang RL, Zhang YC, Wang P, Liu WB, Min LL (2013) Temporal variation of extreme rainfall events in China, 1961-2009. J Hydrol 487:48–59
Gan TY (1998) Hydroclimatic trends and possible climatic warming in the Canadian prairies. Water Resour Res 34:3009–3015
Gao T, Wang HL (2017) Trends in precipitation extremes over the Yellow River basin in North China: changing properties and causes. Hydrol Process 31:2412–2428
Grimm AM, Tedeschi RG (2009) ENSO and extreme rainfall events in South America. J Clim 22:1589–1609
Grinsted A, Moore JC, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys 11:561–566
Han LF, Xu YP, Yang L, Deng XJ (2015) Changing structure of precipitation evolution during 1957-2013 in Yangtze River Delta, China. Stoch Env Res Risk A 29(8):2201–2212
Hirsch RM, Slack JR, Smith RA (1982) Techniques of trend analysis for monthly water quality data. Water Resour Res 18:107–121
Hossain F, Jeyachandran I, Sr RP (2010) Dam safety effects due to human alteration of extreme precipitation. Water Resour Res 46:W03301
Hurst H (1951) Long term storage capacity of reservoirs. Trans Am Soc Civ Eng 6:770–799
IPCC (2013) Climate change 2013: the physical science basis. Contribution of Working Group I to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge
Kao SC, Ganguly AR (2011) Intensity, duration, and frequency of precipitation extremes under 21st-century warming scenarios. J Geophys Res 116:D16119
Kendall MG (1955) Rank correlation methods. Charles Griffin, London
Klein Tank AMG, Zwiers FW, Zhang X (2009) Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. WCDMP-72, WMO-TD/no.1500; 56 pp
Kug JS, Jin FF, An SI (2009) Two types of El Niño events: cold tongue El Niño and warm pool El Niño. J Clim 22(6):1499–1515
Li JP, Zeng QC (2002) A unifed monsoon index. Geophys Res Lett 29(8):1274
Li JP, Zeng QC (2005) A new monsoon index, its interannual variability and relation with monsoon precipitation. Clim Environ Res 10:351–365
Li JP, Wu ZW, Jiang ZH, He JH (2010) Can global warming strengthen the east Asian summer monsoon? J. Clim 23(24):6696–6705
Limsakul A, Singhruck P (2016) Long-term trends and variability of total and extreme precipitation in Thailand. Atmos Res 169:301–317
Liu YX, Guo YF (2005) Impact of pressure system anomaly over mid-high latitude on the interdecadal change of east Asian summer monsoon. Plateau Meteor 24:129–135
Liu T, Li JP, Li YJ, Zhao S, Zheng F, Zheng JY, Yao ZX (2017) Influence of the may southern annular mode on the South China Sea summer monsoon. Clim Dyn 2017(s1):1–13
Llabrés-Brustenga A, Rius A, Rodríguez-Solà R, Casas-Castillo MC, Redaño A (2019) Quality control process of the daily rainfall series available in Catalonia from 1855 to the present. Theor Appl Climatol. https://doi.org/10.1007/s00704-019-02772-5
Mandelbrot BB, Wallis JR (1969) Robustness of the rescaled range R/S in the measurement of noncyclic long-run statistical dependence. Water Resour Res 5:967–988
Min SK, Zhang X, Zwiers FW, Hegerl GC (2011) Human contribution to more-intense precipitation extremes. Nature 470:378–381
O’Gorman PA, Schneider T (2009) The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc Natl Acad Sci 106:14773–14777
Peterson TC, Manton MJ (2008) Monitoring changes in climate extremes: a tale of international collaboration. Bull Am Meteorol Soc 89:1266–1271
Qin PH, Xie ZH (2016) Detecting changes in future precipitation extremes over eight river basins in China using RegCM4 downscaling. J Geophys Res 121:6802–6821
Rau P, Bourrel L, Labat D, Melo P, Dewitte B, Frappart F, Lavado W, Felipe O (2017) Regionalization of rainfall over the Peruvian Pacific slope and coast. Int J Climatol 37(1):143–158
Sánchez Granero MA, Trinidad Segovia JE, García Pérez J (2008) Some comments on Hurst exponent and the long memory processes on capital markets. Phys A 387:5543–5551
Shimizu MH, Ambrizzi T, Liebmann B (2017) Extreme precipitation events and their relationship with ENSO and MJO phases over northern South America. Int J Climatol 37:2977–2989
Sun X, Renard B, Thyer M, Westra S, Lang M (2015) A global analysis of the asymmetric effect of ENSO on extreme precipitation. J Hydrol 530:51–65
Tapiador FJ, Navarro A, Levizzani V, García-Ortega E, Huffman GJ, Kidd C, Kucera PA, Kummerow CD, Masunaga H, Petersen WA, Roca R, Sánchez JL, Tao WK, Turk FJ (2017) Global precipitation measurements for validating climate models. Atmos Res 197:1–20
Tedeschi RG, Grimm AM, Cavalcanti IFA (2015) Influence of central and east ENSO on extreme events of precipitation in South America during austral spring and summer. Int J Climatol 35:2045–2064
Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79:61–78
Wan L, Zhang XP, Ma Q, Zhang JJ, Ma TY, Sun YP (2014) Spatiotemporal characteristics of precipitation and extreme events on the loess plateau of China between 1957 and 2009. Hydrol Process 28:4971–4983
Wang YQ, Zhou L (2005) Observed trends in extreme precipitation events in China during 1961-2001 and the associated changes in large-scale circulation. Geophys Res Lett 32:L09707
Wang XM, Liao JB, Zhang J, Shen C, Chen WH, Xia BC, Wang TT (2014) A numeric study of regional climate change induced by urban expansion in the Pearl River Delta, China. J. Appl Meteorol Clim 53:346–362
Wang YF, Xu YP, Lei CG, Li G, Han LF, Song S, Yang L, Deng XJ (2016) Spatio-temporal characteristics of precipitation and dryness/wetness in Yangtze River Delta, eastern China, during 1960-2012. Atmos Res 172-173:196–205
Ward PJ, Jongman B, Kummu M, Dettinger MD, Weiland FCS, Winsemius HC (2014) Strong influence of El Niño southern oscillation on flood risk around the world. Proc Natl Acad Sci 111:15659–15664
WMO (World Meteorological Organization) (2009) Guidelines on Analysis of Extremes in a Changing Climate in Support of Informed Decisions for Adaptation, Clim. Data and Monitoring, WCDMP-No. 72, Geneva
Xiao MZ, Zhang Q, Singh VP (2017) Spatiotemporal variations of extreme precipitation regimes during 1961-2010 and possible teleconnections with climate indices across China. Int J Climatol 37:468–479
Xu M, Kang SC, Wu H, Yuan X (2018) Detection of spatio-temporal variability of air temperature and precipitation based on long-term meteorological station observations over Tianshan Mountains, Central Asia. Atmos Res 203:141–163
Yin YX, Xu CY, Chen HS, Li L, Xu HL, Li H, Jain SK (2016) Trend and concentration characteristics of precipitation and related climatic teleconnections from 1982 to 2010 in the Beas River basin, India. Glob Planet Chang 145:116–129
Zhang Q, Xu CY, Jiang T, Wu YJ (2007) Possible influence of ENSO on annual maximum streamflow of the Yangtze River, China. J Hydrol 333(2):265–274
Zhang Q, Xu CY, Zhang ZX, Chen YQD, Liu CL, Lin H (2008) Spatial and temporal variability of precipitation maxima during 1960-2005 in the Yangtze River basin and possible association with large-scale circulation. J Hydrol 353(3–4):215–227
Zhang Q, Singh VP, Li JF, Chen XH (2011a) Analysis of the periods of maximum consecutive wet days in China. J Geophys Res 116:D23106
Zhang XB, Alexander L, Hegerl GC, Jones P, Tank AK, Peterson TC, Trewin B, Zwiers FW (2011b) Indices for monitoring changes in extremes based on daily temperature and precipitation data. WIREs Clim Change 2(6):851–870
Zhang Q, Peng JT, Xu CY, Singh VP (2014) Spatiotemporal variations of precipitation regimes across Yangtze River basin, China. Theor Appl Climatol 115(3/4):703–712
Acknowledgements
We are gratefully acknowledging the National Meteorological Information Center, China Meteorological Administration for offering the meteorological data. The authors would like to express our cordial gratitude to the editors and anonymous reviewers for their professional and pertinent comments and suggestions which are greatly helpful for quality improvement of this manuscript.
Funding
This study was financially supported by the National Key Research and Development Program of China (No. 2016YFC0401502), the National Natural Science Foundation of China (No. 41771032), and Water Conservancy Science and Technology Foundation of Jiangsu Province (No. 2015003).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Yuan, J., Xu, Y., Wu, L. et al. Variability of precipitation extremes over the Yangtze River Delta, eastern China, during 1960–2016. Theor Appl Climatol 138, 305–319 (2019). https://doi.org/10.1007/s00704-019-02829-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-019-02829-5