A comprehensive analysis of spatial and temporal variability of extreme precipitation in the Nenjiang River Basin, Northeast China

  • Fengping LiEmail author
  • Xiaopei Ju
  • Wenxi Lu
  • Hongyan Li
Original Paper


Better investigation of extreme precipitation in large river basins is important for hydro-meteorological research and water resources management. Based on daily precipitation data from 17 national meteorological stations in Nenjiang River Basin (NRB) during 1959–2011, spatial-temporal characteristics and trends of seven extreme precipitation indices were analyzed in this study using Mann-Kendall non-parametric test and the ensemble empirical mode decomposition (EEMD) method. We found that almost all selected extreme precipitation indices declined in regionally averaged values, except maximum 5-day precipitation amount (Rx5day). Both extreme precipitation indices and their trends demonstrated spatial varieties. Generally, lower basin obtained less extreme precipitation and tended to be drier. But the amount and intensity of extreme precipitation in upper basin, where are more humid, are rising. Extreme precipitation indices presented apparent non-linear process with periodic oscillations of 1.63–1.94a for IMF1 to 25–31a for IMF4. The findings of this study are useful for the management of water resources in NRB, as well as provide reference information for precipitation evolution under climate change in other regions.



The observed daily precipitation records were provided by the Chinese Meteorological Administration (CMA) and are available at The authors are grateful to Jun Zhang for editing the manuscript prior to submission. We also thank the editor, Prof. Dr. Hartmut Graßl, and an anonymous reviewer for their professional comments and constructive suggestions to improve the manuscript.


The authors thankfully acknowledge the financial assistance by the Key Program of Science and Technology Development Plan of Jilin Province (No. 20170520086JH), National Natural Science Foundation of China (No. 41701020), Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 2016490611), China-ROK cooperation project (No. 51711540299), and Natural Science Foundation of Jilin Province (No. 20180101078JC).


  1. Bessaklia H, Ghenim AN, Megnounif A, Martin-Vide J (2018) Spatial variability of concentration and aggressiveness of precipitation in North-East of Algeria. J Water Land Dev 36(1):3–15CrossRefGoogle Scholar
  2. Chattopadhyay S, Jhajharia D, Chattopadhyay G (2011) Trend estimation and univariate forecast of the sunspot numbers: development and comparison of ARMA, ARIMA and autoregressive neural network models. Compt Rendus Geosci 343(7):433–442CrossRefGoogle Scholar
  3. Chattopadhyay S, Jhajharia D, Chattopadhyay G (2012) Univariate modelling of monthly maximum temperature time series over Northeast India: neural network versus Yule–Walker equation based approach. Meteorol Appl 18(1):70–82CrossRefGoogle Scholar
  4. Chen FW, Liu CW (2012) Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ 10(3):209–222CrossRefGoogle Scholar
  5. Chen C, Zhang Y, Wang L et al (2013) Research on the change of extreme precipitation in Jiangxi Province based on RClimDex model. China Rural Water and Hydropower 11:41–45 (in Chinese)Google Scholar
  6. Chen PC, Wang YH, You JY et al (2016) Comparison of methods for non-stationary hydrologic frequency analysis: case study using annual maximum daily precipitation in Taiwan. J Hydrol 545:197–211CrossRefGoogle Scholar
  7. Croitoru AE, Chiotoroiu BC, Todorova VI et al (2013) Changes in precipitation extremes on the Black Sea Western Coast. Glob Planet Chang 102(March):10–19CrossRefGoogle Scholar
  8. Dimri AP (2006) Surface and upper air fields during extreme winter precipitation over the Western Himalayas. Pure Appl Geophys 163(8):1679–1698CrossRefGoogle Scholar
  9. Dirks KN, Hay JE, Stow CD (1998) High resolution studies of rainfall on Norfolk Island part II: interpolation of rainfall data. J Hydrol 208:187–193CrossRefGoogle Scholar
  10. Du H, Wu Z, Li M et al (2013a) Characteristics of extreme daily minimum and maximum temperature over Northeast China, 1961–2009. Theor Appl Climatol 111(1–2):161–171CrossRefGoogle Scholar
  11. Du H, Wu Z, Zong S et al (2013b) Assessing the characteristics of extreme precipitation over Northeast China using the multifractal detrended fluctuation analysis. J Geophys Res Atmos 118(12):6165–6174CrossRefGoogle Scholar
  12. Faiz MA, Liu D, Fu Q, Wrzesiński D, Nabi G, Baig F, Khan MI, Li T, Cui S (2018) Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices. Clim Res 74(3):231–250CrossRefGoogle Scholar
  13. Feng S, Nadarajah S, Hu Q (2007) Modeling annual extreme precipitation in China using the generalized extreme value distribution. J Meteorol Soc Jpn 85(5):599–613CrossRefGoogle Scholar
  14. Feng X, Zhang G, Yin X (2011) Hydrological responses to climate change in Nenjiang River Basin, northeastern China. Water Resour Manag 25(2):677–689CrossRefGoogle Scholar
  15. Fowler AM, Hennessy KJ (1995) Potential impacts of global warming on the frequency and magnitude of heavy precipitation. Nat Hazards 11(3):283–303CrossRefGoogle Scholar
  16. Fu G, Yu J, Yu X, Ouyang R, Zhang Y, Wang P, Liu W, Min L (2013) Temporal variation of extreme rainfall events in China, 1961–2009. J Hydrol 487(487):48–59CrossRefGoogle Scholar
  17. Gao T, Shi X (2016) Spatio-temporal characteristics of extreme precipitation events during 1951–2011 in Shandong, China and possible connection to the large scale atmospheric circulation. Stoch Env Res Risk A 30(5):1421–1440CrossRefGoogle Scholar
  18. Gao T, Xie L (2016) Spatiotemporal changes in precipitation extremes over Yangtze River basin, China, considering the rainfall shift in the late 1970s. Glob Planet Chang 147:106–124CrossRefGoogle Scholar
  19. Gao L, Huang J, Chen X et al (2016) Risk of extreme precipitation under nonstationarity conditions during the second flood season in the Southeastern Coastal Region of China. J Hydrometeorol 18(3):669–681Google Scholar
  20. Gao L, Huang J, Chen X, Chen Y, Liu M (2018) Contributions of natural climate changes and human activities to the trend of extreme precipitation. Atmos Res 205:60–69CrossRefGoogle Scholar
  21. Guo X, Huang J, Luo Y, Zhao Z, Xu Y (2016) Projection of precipitation extremes for eight global warming targets by 17 CMIP5 models. Nat Hazards 84(3):2299–2319CrossRefGoogle Scholar
  22. Guo E, Liu X, Zhang J, Wang Y, Wang C, Wang R, Li D (2017) Assessing spatiotemporal variation of drought and its impact on maize yield in Northeast China. J Hydrol 553:231–247CrossRefGoogle Scholar
  23. Ham YG, Kug JS (2016) Present-day constraint for tropical Pacific precipitation changes due to global warming in CMIP5 models. Asia-Pac J Atmos Sci 52(5):459–466CrossRefGoogle Scholar
  24. Hamed KH (2009) Exact distribution of the Mann-Kendall trend test statistic for persistent data. J Hydrol 365(1):86–94CrossRefGoogle Scholar
  25. He Y, Yang TB, Ji Q et al (2015) Glacier variation in response to climate change in Chinese Tianshan Mountains from 1989 to 2012. Journal of Mountain Science 12(5):1189–1202Google Scholar
  26. Huang D, Qian Y (2009) The analysis method of regional characteristics of extreme temperature and its results. J Nanjiang Univ (Nat Sci) 45(6):715–723 (in Chinese)Google Scholar
  27. Huang NE, Wu Z (2008) A review on Hilbert-Huang transform: method and its applications to geophysical studies. Rev Geophys 46(2):RG2006Google Scholar
  28. Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Math Phys Eng Sci 454(1971):903–995CrossRefGoogle Scholar
  29. Jhajharia D, Yadav BK, Maske S, Chattopadhyay S, Kar AK (2012) Identification of trends in rainfall, rainy days and 24h maximum rainfall over subtropical Assam in Northeast India. Compt Rendus Geosci 344(1):1–13CrossRefGoogle Scholar
  30. Kurtzman D, Navon S, Morin E (2009) Improving interpolation of daily precipitation for hydrologic modeling: spatial patterns of preferred interpolators. Hydrol Process 23:3281–3291CrossRefGoogle Scholar
  31. Kyselý J, Gaál L, Beranová R (2011) Projected changes in flood-generating precipitation extremes over the Czech Republic in high-resolution regional climate models. J Hydrosci Hydraul Eng 59(4):217–227Google Scholar
  32. Li W (1999) General atmospheric circulation anomaly in 1998 and their impact on climate anomaly in China. Meteorol Mon 25(4):20–25Google Scholar
  33. Li Z, He Y, Wang P et al (2012) Changes of daily climate extremes in southwestern China during 1961–2008. Glob Planet Chang 80(81):255–272Google Scholar
  34. Li F, Zhang G, Xu YJ (2014) Spatiotemporal variability of climate and streamflow in the Songhua River Basin, Northeast China. J Hydrol 514:53–64CrossRefGoogle Scholar
  35. Li F, Zhang G, Xu Y (2016) Assessing climate change impacts on water resources in the Songhua River Basin. Water 8(10):420CrossRefGoogle Scholar
  36. Liang K, Liu S, Bai P, Nie R (2015) The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012. Theor Appl Climatol 119(3–4):701–722CrossRefGoogle Scholar
  37. Lin L, Li CH, Dai M et al (2007) Optimization of the spatial interpolation for marine phytoplankton abundance. Acta Ecol Sin 27(7):2880–2888 (in Chinese)Google Scholar
  38. Liu B, Chen J, Chen X, Lian Y, Wu L (2013) Uncertainty in determining extreme precipitation thresholds. J Hydrol 503(11):233–245CrossRefGoogle Scholar
  39. Liu S, Huang S, Huang Q, Xie Y, Leng G, Luan J, Song X, Wei X, Li X (2017) Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: a case study in the Wei River Basin, China. J Hydrol 548:184–195CrossRefGoogle Scholar
  40. Mann HB (1945) Nonparametric tests against trend. Econometrica 13(3):245–259CrossRefGoogle Scholar
  41. Mantua N, Tohver I, Hamlet A (2010) Climate change impacts on streamflow extremes and summertime stream temperature and their possible consequences for freshwater salmon habitat in Washington State. Climate Change 102:187–223CrossRefGoogle Scholar
  42. Nowosad J, Stach A (2014) Relation between extensive extreme precipitation in Poland and atmospheric circulation. QuaGeo 33(1):115–129CrossRefGoogle Scholar
  43. Qian W, Zhu Y (2001) Climate change in China from 1880 to 1998 and its impact on the environmental condition. Clim Chang 50(4):419–444CrossRefGoogle Scholar
  44. Qin Y, Li B, Chen Z, Chen Y, Lian L (2018) Spatio-temporal variations of nonlinear trends of precipitation over an arid region of Northwest China according to the extreme-point symmetric mode decomposition method. Int J Climatol 38(5):2239–2249CrossRefGoogle Scholar
  45. Radinović D, Ćurić M (2012) Some evidence on European monsoon existence. Theor Appl Climatol 110(1–2):11–15CrossRefGoogle Scholar
  46. Reddy MJ, Adarsh S (2015) Time–frequency characterization of sub-divisional scale seasonal rainfall in India using the Hilbert–Huang transform. Stoch Env Res Risk A 30(4):1063–1085CrossRefGoogle Scholar
  47. Ren G, Ding Y, Zhao Z, Zheng J, Wu T, Tang G, Xu Y (2012) Recent progress in studies of climate change in China. Adv Atmos Sci 29(5):958–977CrossRefGoogle Scholar
  48. Rosenzweig C, Iglesias A, Yang XB, Epstein PR, Chivian E (2001) Climate change and extreme weather events; implications for food production, plant diseases, and pests. Glob Change Human Health 2:90–104CrossRefGoogle Scholar
  49. Santos M, Fragoso M (2013) Precipitation variability in northern Portugal: data homogeneity assessment and trends in extreme precipitation indices. Atmos Res 131(5):34–45CrossRefGoogle Scholar
  50. Shen BZ, Lin ZD, Lu RY, Lian Y (2011) Circulation anomalies associated with interannual variation of early- and late-summer precipitation in Northeast China. Sci China Earth Sci 54(7):1095–1104CrossRefGoogle Scholar
  51. Sippel S, Otto FEL (2014) Beyond climatological extremes—assessing how the odds of hydrometeorological extreme events in South-East Europe change in a warming climate. Clim Chang 125(3–4):381–398CrossRefGoogle Scholar
  52. Song X, Song S, Sun W, Mu X, Wang S, Li J, Li Y (2015) Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960–2013. Atmos Res 157(157):137–152CrossRefGoogle Scholar
  53. Wang Q, Zhang M, Wang S, Ma Q, Sun M (2014) Changes in temperature extremes in the Yangtze River Basin, 1962-2011. J Geogr Sci 24(1):59–75CrossRefGoogle Scholar
  54. Wu ZH, Huang NE (2009) Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 1:1–41CrossRefGoogle Scholar
  55. Wu X, Wang Z, Zhou X, Lai C, Lin W, Chen X (2016) Observed changes in precipitation extremes across 11 basins in China during 1961–2013. Int J Climatol 36(8):2866–2885CrossRefGoogle Scholar
  56. Wu X, Pan M, Zhu X, Cao J, Zhang M (2018) Effect of extreme precipitation events on the hydrochemistry index and stable isotope compositions of drip water in a subtropical cave, Guangxi, SW China. Carbonates Evaporites 33(1):123–131CrossRefGoogle Scholar
  57. Xiong K, Feng G, Wang Q et al (2009) Spatial-temporal characteristics of record-breaking temperature events over China in recent 46 years. Acta Phys Sin 58(11):8107–8115Google Scholar
  58. Yang T, Lu G, Li H et al (2011) Advances in the study of projection of climate change impacts on hydrological extremes. Adv Water Sci 22(2):279–286Google Scholar
  59. Yang P, Xia J, Zhan C et al (2018) Discrete wavelet transform-based investigation into the variability of standardized precipitation index in Northwest China during 1960–2014. Theor Appl Climatol 132(1–2):1–14Google Scholar
  60. Ye H, Fetzer EJ, Sun W et al (2017) More frequent showers and thunderstorm days under a warming climate: evidence observed over Northern Eurasia from 1966 to 2000. Clim Dyn 49:1–12CrossRefGoogle Scholar
  61. Yi H, Yang T, Qin J et al (2015) Glacier variation in response to climate change in Chinese Tianshan Mountains from 1989 to 2012. J Mt Sci 12(5):1189–1202CrossRefGoogle Scholar
  62. Yin J, Yan D, Yang Z et al (2016) Projection of extreme precipitation in the context of climate change in Huang-Huai-Hai region, China. J Earth Syst Sci 125(2):417–429CrossRefGoogle Scholar
  63. Zhai P, Ren F, Zhang Q (1999) Detection of trends in China’s precipitation extremes. Acta Meteorol Sin 57(2):208–216Google Scholar
  64. Zhang Q, Xu C, Tao H et al (2010) Climate changes and their impacts on water resources in arid regions: a case study of the Tarim River basin, China. Stoch Env Res Risk A 24(3):349–358CrossRefGoogle Scholar
  65. Zhang Q, Zheng Y, Singh VP et al (2017) Summer extreme precipitation in eastern China: mechanisms and impacts. J Geophys Res 122(5):2766–2778Google Scholar
  66. Zhao A, Zhang A, Liu X et al (2017) Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China. Theor Appl Climatol 132(1–2):555–567Google Scholar
  67. Zhong K, Zheng F, Xu X, Qin C (2018) Discriminating the precipitation phase based on different temperature thresholds in the Songhua River Basin, China. Atmos Res 205:48–59CrossRefGoogle Scholar

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

Authors and Affiliations

  1. 1.Key Laboratory of Groundwater Resources and Environment, Ministry of EducationJilin UniversityChangchunChina
  2. 2.College of New Energy and EnvironmentJilin UniversityChangchunChina
  3. 3.State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringHohai UniversityNanjingPeople’s Republic of China

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