Contributions of anthropogenic and external natural forcings to climate changes over China based on CMIP5 model simulations

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• 作者：TianBao Zhao ; ChunXiang Li ; ZhiYan Zuo
• 关键词：Human activity ; External natural forcings ; CMIP5 models ; Contributions ; Climate changes ; China
• 刊名：Science China Earth Sciences
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：59
• 期：3
• 页码：503-517
• 全文大小：3,168 KB
• 参考文献：Allen M R, Stott P A. 2003. Estimating signal amplitudes in optimal fingerprinting, Part I: Theory. Clim Dyn, 21: 477–491CrossRef
  Chadwick R, Boutle I, Martin G. 2013. Spatial patterns of precipitation change in CMIP5: Why the rich do not get richer in the tropics. J Clim, 26: 3803–3822CrossRef
  Chao Q C, Zhou B T, Sun Y, Zhang Y X, Huang L. 2014. The cognition development of the climate change physical sciences on IPCC (in Chinese). Adv Clim Change Res, 10: 7–13
  Chen H P. 2013. Projected change in extreme rainfall events in China by the end of the 21st century using CMIP5 models (in Chinese). Chin Sci Bull, 58: 743–752
  Chen X C, Xu Y, Xu C H, Yao Y. 2014. Assessment of precipitation simulations in China by CMIP5 multi-models (in Chinese). Adv Clim Change Res, 10: 217–225
  Christidis N, Stott P A, Hegerl G C, Betts R A. 2013. The role of land use change in the recent warming of daily extreme temperatures. Geophys Res Lett, 40: 589–594CrossRef
  Dai A. 2013. Increasing drought under global warming in observations and models. Nat Clim Change, 3: 52–58CrossRef
  Elguindi N, Grundstein A, Bernardes S, Turuncoglu U, Feddema J. 2013. Assessment of CMIP5 global model simulations and climate change projections for the 21st century using a modified Thornthwaite climate classification. Clim Change, 122: 523–538CrossRef
  Fu Z B, Ma Z G. 2008. Global change and regional aridification (in Chinese). Chin J Atmos Sci. 32: 752–760
  Guo Y, Dong W J, Ren F M, Zhao Z C, Huang J B. 2013. Assessment of CMIP5 simulations for China annual average surface temperature and its comparison with CMIP3 Simulations (in Chinese). Adv Clim Change Res, 9: 181–186
  Harris I, Jones P D, Osborn T J, Lister D H. 2013. Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 Dataset. Int J Clim, 34: 623–642CrossRef
  Hua W J, Chen H S, Li X. 2015. Effects of future land use change on the regional climate in China. Sci China: Earth Sci, doi: 10.1007/s11430-015-5082-x
  Huang D Q, Zhu J, Zhang Y C, Huang A N. 2013. Uncertainties on the simulated summer precipitation over Eastern China from the CMIP5 models. J Geophys Res, 118: 9035–9047
  Huang N E, Wu Z. 2008. A review on Hilbert-Huang transform: Method and its applications to geophysical studies. Rev Geophys, 46: RG2006, doi: 10.1029/2007RG000228
  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. In: Stocker T F, Qin D, Plattner G K, Tignor M, Allen S K, Boschung J, Nauels A, Xia Y, Bex V, Midgley P M, eds. Cambridge and New York: Cambridge University Press. 1535
  Li C X, Zhao T B, Ma Z G. 2014. Impacts of anthropogenic activities on climate change in arid and semiarid areas based on CMIP5 models (in Chinese). Chin Sci Bull, 59: 2972–2988CrossRef
  Li C X, Zhao T B, Ying K R. 2015. Effects of anthropogenic aerosols on temperature changes in China during the twentieth century based on CMIP5 models. Theor Appl Climatol, doi: 10.1007/s00704-015-1527-6
  Li Z C, Wei Z G, Lv S H, Han B, Ao Y H, Chen H. 2013. Verifications of the surface air temperature and precipitation from CMIP5 model in northern hemisphere and Qinghai-Xizang plateau (in Chinese). Plateau Meteorol, 32: 921–928
  Liu Y H, Feng J M, Ma Z G. 2013. An analysis of historical and future temperature fluctuations over China based on CMIP5 simulations. Adv Atmos Sci, 31: 457–467CrossRef
  National Assessment Report on Climate Change Compiling Committee. 2007. National Assessment Report on Climate Change (in Chinese). Beijing: Science press
  Polson D, Hegerl G C, Zhang X, Osborn T J. 2013. Causes of robust seasonal land precipitation changes. J Clim, 26: 6679–6697CrossRef
  Qin D H, Stocker T, 259 authors and TSU (Bren & Beijing). 2014. Highlights of the IPCC working group I fifth assessment report (in Chinese). Adv Clim Change Res, 10: 1–6
  Ribes A, Terray L. 2013. Application of regularised optimal fingerprint to attribution. Part II: Application to global near-surface temperature. Clim Dyn, 41: 2837–2853CrossRef
  Santer B D, Painter J F, Bonfils C, Mears C A, Solomon S, Wigley T M L, Gleckler P J, Schmidt G A, Doutriaux C, Gillett N P, Taylor K E, Thorne P W, Wentz F J. 2013. Human and natural influences on the changing thermal structure of the atmosphere. Proc Natl Acad Sci USA, 110: 17235–17240CrossRef
  Schneider U, Becker A, Finger P, Meyer-Christoffer A, Ziese M, Rudolf B. 2013. GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theor Appl Climatol, 115: 15–40CrossRef
  Sun Y, Yin H, Tian Q H, Shi Y, Liu H B, Zhou B T. 2013. Recent progress in studies of climate change detection and attribution in the globe and China in the past 50 years (in Chinese). Adv Clim Change Res, 9: 235–245
  Sun Y, Zhang X B, Zwiers F W. 2014. Rapid increase in the risk of extreme summer heat in Eastern China. Nat Clim Change, 4: 1082–1085CrossRef
  Taylor K E, Stouffer R J, Meehl G A. 2012. An overview of CMIP5 and the experiment design. Bull Amer Meteorol Soc, 93: 485–498CrossRef
  Wang S W, Luo Y, Zhao Z C, Wen X Y, Huang J B. 2012. Attribution of climate warming to the cause (in Chinese). Adv Clim Change Res, 8: 308–312
  Wen H Q, Zhang X, Xu Y, Wang B. 2013. Detecting human influence on extreme temperatures in China. Geophys Res Lett, 40: 1171–1176CrossRef
  Wilcox L J, Highwood E J, Dunstone N J. 2013. The influence of anthropogenic aerosol on multi-decadal variations of historical global climate. Environ Res Let, 8: 24–33
  Wu G X, Li Z Q, Fu C B, Zhang X Y, Zhang R Y, Zhang R H, Zhou T J, Li J P, Li J D, Zhou D G, Wu L, Zhou L T, He B, Huang R H. 2015. Advances in studying interactions between aerosols and monsoon in China. Sci China: Earth Sci, doi: 10.1007/s11430-015-5198-z
  Wu P, Christidis N, Stott P. 2013. Anthropogenic impact on Earth’s hydrological cycle. Nat Clim Change, 3: 807–810CrossRef
  Wu R G, Chen J P, Wen Z P. 2013. Precipitation–surface temperature relationship in the IPCC CMIP5 Models. Adv Atmos Sci, 30: 766–778CrossRef
  Wu Z, Huang N E. 2009. Ensemble empirical mode decomposition: A noise-assisted data analysis method. Adv Adapt Data Anal, 1: 1–41CrossRef
  Xu Y, Xu C H. 2012. Preliminary assessment of simulations of climate changes over China by CMIP5 multi-models. Atmos Ocn Sci Lett, 5: 489–494
  Yao Y, Luo Y, Huang J B, Zhao Z C. 2013. Comparison of monthly temperature extremes simulated by CMIP3 and CMIP5 Models. J Clim, 26: 7692–7707CrossRef
  Zhang X B, Wan H, Zwiers F W, Hegerl G C, Min S K. 2013. Attributing intensification of precipitation extremes to human influence. Geophys Res Lett, 40: 5252–5257CrossRef
  Zhang X, Zwiers F W, Hegerl G C, Lambert F H, Gillett N P, Solomon S, Stott P A, Nozawa T. 2007. Detection of human influence on 20th century precipitation trends. Nature, 448: 461–465CrossRef
  Zhang X, Zwiers, F W, Stott P A. 2006. Multimodel multisignal climate change detection at regional scale. J Clim, 19: 4294–4307CrossRef
  Zhao T B, Chen L, Ma Z G. 2014. Impacts of anthropogenic activities on climate change in arid and semiarid areas based on CMIP5 models. Chin Sci Bull, 59: 1148–1163
  Zhou T J, Li L J, Li H M, Bao Q. 2008. Progress in climate change attribution and projection studies (in Chinese). Chin J Atmos Sci, 32: 906–922
  
• 作者单位：TianBao Zhao (1)
  ChunXiang Li (1)
  ZhiYan Zuo (2)
  
  1. Key Laboratory of Regional Climate-Environment Research for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  2. Chinese Academy of Meteorological Sciences, Beijing, 100081, China
  
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1869-1897

文摘

Based on observations and historical simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) archive, the contributions of human activities (including greenhouse gases (GHGs), anthropogenic aerosols (AAs), and land use (LU)) and external natural forcings (Nat) to climate changes in China over the past 50 years were quantified. Both anthropogenic and external natural forcings account for 95%–99% of the observed temperature change from 1951–1975 to 1981–2005. In particular, the temperature changes induced by GHGs are approximately 2–3 times stronger than the observed changes, and AAs impose a significant cooling effect. The total external forcings can explain 65%–78% of the observed precipitation changes over the past 50 years, in which AAs and GHGs are the primary external forcings leading to the precipitation changes; in particular, AAs dominate the main spatial features of precipitation changes in eastern China. Human activities also dominate the long-term non-linear trends in observed temperature during the past several decades, and, in particular, GHGs, the primary warming contributor, have produced significant warming since the 1960s. Compared to the long-term non-linear trends in observed precipitation, GHGs have largely caused the wetting changes in the arid-semiarid region since the 1970s, whereas AAs have led to the drying changes in the humid-semihumid region; both LU and Nat can impose certain impacts on the long-term non-linear trends in precipitation. Using the optimal fingerprinting detection approach, the effects of human activities on the temperature changes can be detected and attributed in China, and the effect of GHGs can be clearly detected from the observations in humid-semihumid areas. However, the anthropogenic effects cannot be detected in the observed precipitation changes, which may be due to the uncertainties in the model simulations and to other issues. Although some results in this paper still need improvement due to uncertainties in the coupled models, this study is expected to provide the background and scientific basis for climate changes to conduct vulnerability and risk assessments of the ecological systems and water resources in the arid-semiarid region of China.