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Changes in daily extreme precipitation events in South China from 1961 to 2011

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Abstract

Based on the daily precipitation from a 0.5°×0.5° gridded dataset and meteorological stations during 1961–2011 released by National Meteorological Information Center, the reliability of this gridded precipitation dataset in South China was evaluated. Five precipitation indices recommended by the World Meteorological Organization (WMO) were selected to investigate the changes in precipitation extremes of South China. The results indicated that the bias between gridded data interpolated to given stations and the corresponding observed data is limited, and the proportion of the number of stations with bias between −10% and 0 is 50.64%. The correlation coefficients between gridded data and observed data are generally above 0.80 in most parts. The average of precipitation indices shows a significant spatial difference with drier northwest section and wetter southeast section. The trend magnitudes of the maximum 5-day precipitation (RX5day), very wet day precipitation (R95), very heavy precipitation days (R20mm) and simple daily intensity index (SDII) are 0.17 mm·a−1, 1.14 mm·a−1, 0.02 d·a−1 and 0.01 mm·d−1·a−1, respectively, while consecutive wet days (CWD) decrease by −0.05 d·a−1 during 1961–2011. There is spatial disparity in trend magnitudes of precipitation indices, and approximate 60.85%, 75.32% and 75.74% of the grid boxes show increasing trends for RX5day, SDII and R95, respectively. There are high correlations between precipitation indices and total precipitation, which is statistically significant at the 0.01 level.

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References

  • Caesar J, Lowe J A, 2012. Comparing the impacts of mitigation versus non-intervention scenarios on future temperature and precipitation extremes in the HadGEM2 climate model. Journal of Geophysical Research: Atmospheres, 117, D15109, doi: 10.1029/2012JD017762.

    Article  Google Scholar 

  • Changnon S A, Roger A, Pielke J et al., 2000. Human factors explain the increased losses from weather and climate extremes. Bulletin of the American Meteorological Society, 81(3): 437–442.

    Article  Google Scholar 

  • Chen Ying, Yin Yixing, Chen Xingwei, 2011. Change of flood disasters in China since the 1880s and some possible causes. Journal of Natural Resources, 26(12): 2110–2120. (in Chinese)

    Google Scholar 

  • Donat M G, Peterson T C, Brunet M et al., 2014. Changes in extreme temperature and precipitation in the Arab region: Long-term trends and variability related to ENSO and NAO. International Journal of Climatology, 34(3): 581–592.

    Article  Google Scholar 

  • Easterling D R, Events J L, Groismman P Ya et al., 2000. Observed variability and trends in extreme climate events: A brief review. Bulletin of the American Meteorological Society, 81(3): 417–425.

    Article  Google Scholar 

  • Fu Guobin, Yu Jingjie, Yu Xiubo et al., 2013. Temporal variation of extreme rainfall events in China, 1961–2009. Journal of Hydrology, 487: 48–59.

    Article  Google Scholar 

  • Gao Huixuan, 2005. Application of Multivariate Statistical Analysis. Beijing: Peking University Press, 1–213. (in Chinese)

    Google Scholar 

  • Gemmer M, Fischer T, Jiang Tong et al., 2011. Trends in precipitation extremes in the Zhujiang River Basin, South China. Journal of Climate, 24(3): 750–761.

    Article  Google Scholar 

  • Gong Daoyi, Han Hui, 2004. Extreme climate events in northern China over the last 50 years. Acta Geographica Sinica, 59(2): 230–238. (in Chinese)

    Google Scholar 

  • Han Zhenyu, Zhou Tianjun, 2012. Assessing the quality of APHRODITE high-resolution daily precipitation dataset over contiguous China. Chinese Journal of Atmospheric Sciences, 36(2): 361–373. (in Chinese)

    Google Scholar 

  • Haylock M R., Hofstra N, Klein Tank A M G et al., 2008. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. Journal of Geophysical Research, 113, D20119, doi: 10.1029/2008JD010201.

    Article  Google Scholar 

  • Herrera S, Gutiérrez J M, Ancell R et al., 2012. Development and analysis of a 50-year high-resolution daily gridded precipitation dataset over Spain (Spain02). Journal of Climatology, 32(1): 74–85.

    Article  Google Scholar 

  • Hofstra N, New M, McSweeney C, 2010. The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data. Climate Dynamics, 35(5): 841–858.

    Article  Google Scholar 

  • Hu Yurong, Maskey S, Uhlenbrook S, 2012. Trends in temperature and rainfall extremes in the Yollow River source, China. Climatic Change, 110: 403–329.

    Article  Google Scholar 

  • Kharin V V, Francis W Z, Zhang Xuebin et al., 2005. Intercomparison of near-surface temperature and precipitation extremes in AMIP-2 simulations, reanalyses, and observations. Journal of Climate, 18: 5201–5223.

    Article  Google Scholar 

  • King A D, Alexandera L V, Donata M G, 2013. The efficacy of using gridded data to examine extreme rainfall characteristics: A case study for Australia. International Journal of Climatology, 33(10): 2376–2387.

    Article  Google Scholar 

  • Li Rui, Fu Yunfei, 2005. A comparison study of the tropical monthly precipitation estimated by GPCP Version 2 Datasets and TRMM PR observations. Acta Meteorologica Sinica, 63(2): 146–160. (in Chinese)

    Google Scholar 

  • Li Zongxing, He Yuanqing, Wang Puyu et al., 2011. Changes of daily climate extremes in southwestern China during 1961-2008. Global and Planetary Change, 80/81: 255–272.

    Google Scholar 

  • National Meteorological Information Center, 2012. Assessment Report of China’s Ground Precipitation 0.5°×0.5° Gridded Dataset (V2.0). Beijing: National Meteorological Information Center. (in Chinese)

    Google Scholar 

  • Rao K K, Patwardhan S K, Kulkarni A et al., 2014. Projected changes in mean and extreme precipitation indices over India using PRECIS. Global and Planetary Change, 113: 77–90.

    Article  Google Scholar 

  • Re M, Barros V R, 2009. Extreme rainfalls in SE South America. Climatic Change, 96: 119–136.

    Article  Google Scholar 

  • Sen P K, 1968. Estimates of the regression coefficient based on Kendall’s tau. Journal of American Statistical Association, 39: 1379–1389.

    Article  Google Scholar 

  • Skansi M M, Brunet M, Sigró J et al., 2013. Warming and wetting signals emerging from analysis of changes in climate extreme indices over South America. Global and Planetary Change, 100: 295–307.

    Article  Google Scholar 

  • Wang Baolong, Zhang Mingjun, Wei Junlin et al., 2013a. Changes in extreme precipitation over Northeast China, 1960–2009. Quaternary International, 298(17): 177–186.

    Article  Google Scholar 

  • Wang Chenghai, Li Jian, Li Xiaolan et al., 2012. Analysis on quasi-periodic characteristics of precipitation in recent 50 years and trend in next 20 years in China. Arid Zone Research, 29(1): 1–10. (in Chinese)

    Google Scholar 

  • Wang Huaijun, Chen Yaning, Chen Zhongsheng, 2013b. Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, northwest of China, during 1960-2010. Hydrological Processes, 27(12): 1807–1818.

    Article  Google Scholar 

  • Wang Jing’ai, 2006. China Geography Course. Beijing: Higher Education Press, 479–518. (in Chinese)

    Google Scholar 

  • Wang Qiong, Zhang Mingjun, Wang Shengjie et al., 2014. Changes in temperature extremes in the Yangtze River Basin, 1962–2011. Journal of Geographical Sciences, 24(1): 59–75.

    Article  Google Scholar 

  • Wang Shengjie, Zhang Mingjun, Sun Meiping et al., 2013c. Changes in precipitation extremes in alpine areas of the Chinese Tianshan Mountains, central Asia, 1961–2011. Quaternary International, 311: 97–107.

    Article  Google Scholar 

  • Wang Zhifu, Qian Yongfu, 2009. Frequency and intensity of extreme precipitation events in China. Advances in Water Science, 20(1): 1–9. (in Chinese)

    Google Scholar 

  • Wen Xinyu, Wang Shaowu, Zhu Jinhong et al., 2006. An overview of China climate change over the 20th century using UK UEA/CRU high resolution grid data. Chinese Journal of Atmospheric Sciences, 30(5): 894–904. (in Chinese)

    Google Scholar 

  • You Qinglong, Kang Shichang, Aguilar E et al., 2011. Changes in daily climate extremes in China and its connection to the large scale atmospheric circulation during 1961–2003. Climate Dynamics, 36: 2399–2417.

    Article  Google Scholar 

  • You Qinglong, Kang Shichang, Yan Yuping et al., 2009. Trends in daily temperature and precipitation extremes over the Yarlung Zangbo River Basin during 1961-2005. Acta Geographica Sinica, 64(5): 592–600. (in Chinese)

    Google Scholar 

  • Zhang Mingjun, He Jinyun, Wang Baolong et al., 2013. Extreme drought changes in Southwest China from 1960 to 2009. Journal of Geographical Sciences, 23(1): 3–16.

    Article  Google Scholar 

  • Zhang Yaoting, 2003. Lecture Notes of Multiple Statistical Analysis. Beijing: China Statistics Press, 1–144. (in Chinese)

    Google Scholar 

  • Zhao Songqiao, 1983. A new scheme for comprehensive physical regionalization in China. Acta Geographica Sinica, 38(1): 1–10. (in Chinese)

    Google Scholar 

  • Zi Yong, Xu Yinlong, Fu Yunfei, 2007. Climatological comparison studies between GPCP and rain gauges precipitations in China. Acta Meteorologica Sinica, 65(1): 63–74. (in Chinese)

    Google Scholar 

  • Zolina O, Kapala A, Simmer C et al., 2004. Analysis of extreme precipitation over Europe from different reanalyses: A comparative assessment. Global and Planetary Change, 44: 129–161.

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, China

    Zhengguo Ren, Mingjun Zhang, Shengjie Wang, Fang Qiang, Xiaofan Zhu & Lei Dong

Authors
  1. Zhengguo Ren
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  2. Mingjun Zhang
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  3. Shengjie Wang
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  4. Fang Qiang
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  5. Xiaofan Zhu
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  6. Lei Dong
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Corresponding author

Correspondence to Mingjun Zhang.

Additional information

Foundation: National Basic Research Program of China (973Program), No.2013CBA01801; National Natural Science Foundation of China, No.41161012

Author: Ren Zhengguo (1989–), MS Candidate, specialized in global change and sustainable development.

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Ren, Z., Zhang, M., Wang, S. et al. Changes in daily extreme precipitation events in South China from 1961 to 2011. J. Geogr. Sci. 25, 58–68 (2015). https://doi.org/10.1007/s11442-015-1153-3

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  • DOI: https://doi.org/10.1007/s11442-015-1153-3

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