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Frequency analysis and its spatiotemporal characteristics of precipitation extreme events in China during 1951–2010

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Abstract

This study investigates frequency analysis and its spatiotemporal characteristics of precipitation extremes based on annual maximum of daily precipitation (AMP) data of 753 observation stations in China during the period 1951–2010. Several statistical methods including L-moments, Mann-Kendall test (MK test), Student’s t test (t test) and analysis of variance (F-test) are used to study different statistical properties related to frequency and spatiotemporal characteristics of precipitation extremes. The results indicate that the AMP series of most sites have no linear trends at 90 % confidence level, but there is a distinctive decrease trend in Beijing-Tianjin-Tangshan region. The analysis of abrupt changes shows that there are no significant changes in most sites, and no distinctive regional patterns within the mutation sites either. An important innovation different from the previous studies is the shift in the mean and the variance which are also studied in this paper in order to further analyze the changes of strong and weak precipitation extreme events. The shift analysis shows that we should pay more attention to the drought in North China and to the flood control and drought in South China, especially to those regions that have no clear trend and have a significant shift in the variance. More important, this study conducts the comprehensive analysis of a complete set of quantile estimates and its spatiotemporal characteristic in China. Spatial distribution of quantile estimation based on the AMP series demonstrated that the values gradually increased from the Northwest to the Southeast with the increment of duration and return period, while the increasing rate of estimation is smooth in the arid and semiarid region and is rapid in humid region. Frequency estimates of 50-year return period are in agreement with the maximum observations of AMP series in the most stations, which can provide more quantitative and scientific basis for decision making.

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References

  • Adamowski K, Bougadis J (2003) Detection of trends in annual extreme rainfall. Hydrol Process 17:3547–3560

    Article  Google Scholar 

  • Beniston M, Stephenson DB (2004) Extreme climatic events and their evolution under changing climatic conditions. Global Planet Change 44:1–9

    Article  Google Scholar 

  • Brunetti M, Colacino M, Maugeri M, Nanni T (2001) Trends in the daily intensity of precipitation in Italy from 1951 to 1996. Int J Climatol 21(3):299–316

    Article  Google Scholar 

  • Cai M, Ding YG, Jiang ZH (2007) Precipitation extreme experimentation over eastern China based on L-moment estimation. Plateau Meterol 26(2):309–318

    Google Scholar 

  • Cheng BY, Ding YG, Wang F (2003) A diagnosis method of the extreme features of weather and climate in time series based on non-normal distribution. Chin J Atmospher Sci 27(5):920–928

    Google Scholar 

  • Chowdhury RK, Beecham S (2010) Australian rainfall trends and their relation to the southern oscillation index. Hydrol Process 24(4):504–514

    Google Scholar 

  • Christensen OB, Christensen JH (2004) Intensification of extreme European summer precipitation in a warmer climate. Global Planet Change 44:107–117

    Article  Google Scholar 

  • Coles S (2001) An introduction to statistical modeling of extreme values. Springer, London, p 208

    Book  Google Scholar 

  • Ding YG, Liu JF, Zhang YC (2004) Simulation tests of temporal-spatial distributions of extreme temperatures over China based on probability weighted moments estimation. Chin J Atmospher Sci 28(5):771–782

    Google Scholar 

  • Ding Y, Wang Z, Sun Y (2008) Inter-decadal variation of the summer precipitation in East China and its association with decreasing Asian summer monsoon. part I: observed evidences. Int J Climatol 28(9):1139–1161

    Article  Google Scholar 

  • Easterling DR, Meehl GA, Parmesan C, Changnon SA, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Science 289(5487):2068–2074

    Article  Google Scholar 

  • Fu CB (1994) Studies on the observed abrupt climatic change. Sci Atmospher Sinica 18(3):373–384

    Google Scholar 

  • Gosset WS (1908) The probable error of a mean. Biometrika 6(1):1–25. doi:10.1093/biomet/6.1.1

    Article  Google Scholar 

  • Hosking JRM (1990) L-moments: analysis and estimation of distributions using linear combinations of order statistics. J Royal Statistic Soc, Ser B (Methodological) 105–124

  • Jia LW, Li WJ, Chen DL (2006) Relationship between precipitation in northeast China and the atmospheric circulation. J Appl Meteorol Sci 17(5):557–566

    Google Scholar 

  • Karl TR, Knight RW (1998) Secular trends in precipitation amount, frequency, and intensity in the United States. Bull Am Meteorol Soc 79(2):213–241

    Google Scholar 

  • Katz RW, Browns BG (1992) Extreme events in a changing climate: variability is more important than averages. Clim Chang 21:289–302

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation methods. Griffin, London

    Google Scholar 

  • Kharin VV, Zwiers FW (2000) Change in the extremes in an ensemble of transient climate simulations with a coupled atmosphere–ocean GCM. J Clim 13:3760–3788

    Article  Google Scholar 

  • Kharin VV, Zwiers FW (2005) Estimating extremes in transient climate change simulations. J Clim 18:1156–1173

    Article  Google Scholar 

  • Leadbetter MR, Lindgren G, Rootzen H (1983) Extremes and related properties of random sequences and process. Springer Verlag 336

  • Lin B, Bonnin GM, Martin D, Parzybok TM, Riley D (2006) Regional frequency studies of annual precipitation extreme in the United States based on regional n-moments analysis. World Environ Water Res Congress 1–11

  • Lin B, Shao YH, Yan GX, Zhang YH (2012) The core research on the development of engineering hydrology calculation promoted by hydrometeorology. New development of hydrological science and technology, China hydrology symposium proceedings 50–63

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13:259

    Article  Google Scholar 

  • May W (2004) Simulation of the variability and extremes of daily rainfall during the Indian summer monsoon for present and future times in a global time slice experiment. Climate Dyn 22:183–204

    Article  Google Scholar 

  • Milly PCD, Wetherald PT (2002) Increasing risk of great floods in a changing climate. Nature 415(68–71):514–517

    Article  Google Scholar 

  • Mudelsee M, Börngen M, Tetzlaff G, Grünewald U (2003) No upward trends in the occurrence of extreme floods in the central Europe. Nature 425:166–169

    Article  Google Scholar 

  • Qian WH, Lin X (2005) Regional trends in recent precipitation indices in China. Meteorol Atmos Phys 90:193–207

    Article  Google Scholar 

  • Qin NX, Chen X, Fu GB, Zhai JQ, Xue XW (2010) Precipitation and temperature trends for the Southwest China: 1960–2007. Hydrol Process 24(25):3733–3744

    Article  Google Scholar 

  • Ren GY, Feng GL, Yan ZW (2010) Progresses in observation studies of climate extremes and changes in mainland China. Clim Environ Res 15(4):337–353

    Google Scholar 

  • Roy SE, Balling JRC (2004) Trends in extreme daily precipitation indices in India. Int J Climatol 24:457–466

    Article  Google Scholar 

  • Wei FY (1999) Diagnosis and prediction of modern climate statistics. Meteorological Press, Bejing

    Google Scholar 

  • Yan ZW, Yang C (2000) Geographic patterns of extreme climate changes in China during 1951–1997. Clim Environ Res 5(3):267–272

    Google Scholar 

  • Young CB, Mcenroe BM (2006) Updated precipitation frequency estimates for Kansas City: comparison with TP-40 and HYDRO-35. J Hydrol Eng 11(3):206–213

    Article  Google Scholar 

  • Zhai PM, Zhou QF (1997) The change of northern hemisphere snow cover and its impact on summer rainfalls in China. Quart J Appl Meteorol 8(2):230–235

    Google Scholar 

  • Zhai PM, Sun AJ, Ren FM (1999) Changes of climate extremes in China. Clim Chang 42:203–218

    Article  Google Scholar 

  • Zhai PM, Zhang XB, Wan H (2005) Trends in total precipitation and frequency of daily precipitation extremes over China. J Clim 18:1096–1108

    Article  Google Scholar 

  • Zhai PM, Wang CC, Li W (2007) A review on study of change in precipitation extremes. Adv Clim Chang Res 3(3):144–148

    Google Scholar 

  • Zhang QY, Wei J, Tao SY (2003) The decadal and inter-annual variations of drought in the northern China and association with the circulations. Clim Environ Res 8(3):307–318

    Google Scholar 

  • Zhang Q, Xu CY, Becker S, Zhang Z, Chen YD, Coulibaly M (2009) Trends and abrupt changes of precipitation extremes in the Pearl River basin, China. Atmos Sci Lett 10:132–144

    Article  Google Scholar 

  • Zhang Q, Jiang T, Chen YD, Chen XH (2010a) Changing properties of hydrological extremes in south China: natural variations or human influences? Hydrol Process 24(11):1421–1432

    Article  Google Scholar 

  • Zhang Q, Xu CY, Chen XH, Zhang Z (2010b) Statistical behaviors of precipitation regimes in China and their links with atmospheric circulation 1960–2005. Int J Climatol. doi:10.1002/joc.2193

    Google Scholar 

  • Zhao HR (2013) Temporal and spatial variations and transition of precipitation in China during 1960–2010. Tropic Geog 33(4):414–419

    Google Scholar 

  • Zolina O, Simmer C, Gulev SK, Kollet S (2010) Changing structure of European precipitation: longer wet periods leading to more abundant rainfalls. Geophys Res Lett. doi:10.1029/2010GL042468

    Google Scholar 

Download references

Acknowledgments

The authors are very grateful of Professor Lin Bingzhang to provide the guide and help in the whole paper. This research is financially supported by the Natural Science Foundation of in Jiangsu Province (BK20141001), by the Natural Science Foundation of the Colleges and Universities in Jiangsu Province (13KJB170017), and by the Meteorological Open Research Fund in Huaihe River Basin (HRM201205). The authors would like to acknowledge Associate Professor Samiran Das and the anonymous reviewers for their professional comments which greatly help to improve the quality of this manuscript.

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Correspondence to Yuehong Shao.

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Shao, Y., Wu, J., Ye, J. et al. Frequency analysis and its spatiotemporal characteristics of precipitation extreme events in China during 1951–2010. Theor Appl Climatol 121, 775–787 (2015). https://doi.org/10.1007/s00704-015-1481-3

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  • DOI: https://doi.org/10.1007/s00704-015-1481-3

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