Contribution of human influence to increased daily precipitation extremes over China

被引:90
作者
Chen, Huopo [1 ,2 ,3 ]
Sun, Jianqi [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China
[3] Chengdu Univ Informat Technol, Joint Lab Climate & Environm Change, Chengdu, Peoples R China
关键词
CLIMATE; ATTRIBUTION; EVENTS; CMIP5; RISK;
D O I
10.1002/2016GL072439
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study provides an estimate of the human influence on increases in daily precipitation extremes over China using data sets from multiple coupled climate models participating in the Coupled Model Intercomparison Project Phase 5. The effects of human forcings can be detected in the observed changes of daily precipitation extremes, but the effects of external natural forcings as well as the aerosols are not detected using the optimal fingerprint methods. Estimation showed that human influence has increased daily precipitation extremes by approximately 13% (1% to 25% for 90% confidence interval) on average over China in recent decades. With further warming, human influences on precipitation extremes would be amplified. For a temperature increase of 1.5 degrees C with respect to the preindustrial time, the occurrence probability of severe extremes is doubled, and approximately 51% of these events occurring over China are attributable to human influences. This fraction increases with temperature. Furthermore, the contributions of human influences are much stronger for the high-percentile extremes, and the highest sensitivity of the changes in daily precipitation extremes due to human influences is observed in the region of the Tibetan Plateau in the southwest of China.
引用
收藏
页码:2436 / 2444
页数:9
相关论文
共 34 条
  • [1] Estimating signal amplitudes in optimal fingerprinting, part I: theory
    Allen, MR
    Stott, PA
    [J]. CLIMATE DYNAMICS, 2003, 21 (5-6) : 477 - 491
  • [2] Checking for model consistency in optimal fingerprinting
    Allen, MR
    Tett, SFB
    [J]. CLIMATE DYNAMICS, 1999, 15 (06) : 419 - 434
  • [3] [Anonymous], CLIMATE CHANGE 2013
  • [4] [Anonymous], 2012, MANAGING RISKS EXTRE
  • [5] Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
  • [6] Changes in climate extreme events in China associated with warming
    Chen, Huopo
    Sun, Jianqi
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2015, 35 (10) : 2735 - 2751
  • [7] Global increase in record-breaking monthly-mean temperatures
    Coumou, Dim
    Robinson, Alexander
    Rahmstorf, Stefan
    [J]. CLIMATIC CHANGE, 2013, 118 (3-4) : 771 - 782
  • [8] Anthropogenic warming has increased drought risk in California
    Diffenbaugh, Noah S.
    Swain, Daniel L.
    Touma, Danielle
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (13) : 3931 - 3936
  • [9] Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
  • [10] Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes
    Fischer, E. M.
    Knutti, R.
    [J]. NATURE CLIMATE CHANGE, 2015, 5 (06) : 560 - 564