Detection of anthropogenic influence on the intensity of extreme temperatures in China

被引:69
作者
Yin, Hong [1 ]
Sun, Ying [1 ,2 ]
Wan, Hui [3 ]
Zhang, Xuebin [3 ]
Lu, Chunhui [1 ]
机构
[1] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China
[2] Joint Ctr Global Change Studies, Beijing, Peoples R China
[3] Environm & Climate Change Canada, Div Climate Res, Toronto, ON, Canada
基金
中国国家自然科学基金;
关键词
detection and attribution; extreme temperatures; anthropogenic forcing; natural variability; CLIMATE EXTREMES; CMIP5; ATTRIBUTION; INDEXES; TRENDS;
D O I
10.1002/joc.4771
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The anthropogenic (ANT) influence on the intensity of temperature extremes in China is detected over the period 1958-2012 using the newest homogenized daily observation data set and multi-model simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). We applied an optimal fingerprinting method to compare spatial-temporal changes in the intensity of temperature extremes, including annual maxima of daily maximum and daily minimum temperatures (warmest day and night, TXx and TNx) and annual minima of daily maximum and daily minimum temperatures (coldest day and night, TXn and TNn). For China as a whole, the results show that the ANT influence can be robustly detected in all four extreme indices. The ANT signal is also clearly separable from the response to natural-only (NAT) forcing in the two-signal analyses. The NAT signal was detectable for the warmest night TNx but not for other indices. At smaller regional scales for Eastern and Western China, the ANT signals were also clearly detected in the changes of temperature extremes. With the use of more observational data and multi-model simulations, this study updates a previous work and confirms that the human influence can be robustly detected in the changes of extreme temperature intensity in China.
引用
收藏
页码:1229 / 1237
页数:9
相关论文
共 33 条
[1]   Assessing trends in observed and modelled climate extremes over Australia in relation to future projections [J].
Alexander, Lisa V. ;
Arblaster, Julie M. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2009, 29 (03) :417-435
[2]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[3]   Estimating signal amplitudes in optimal fingerprinting, part I: theory [J].
Allen, MR ;
Stott, PA .
CLIMATE DYNAMICS, 2003, 21 (5-6) :477-491
[4]   Checking for model consistency in optimal fingerprinting [J].
Allen, MR ;
Tett, SFB .
CLIMATE DYNAMICS, 1999, 15 (06) :419-434
[5]  
[Anonymous], 2013, RHTESTSV4 USER MANUA
[6]  
Bindoff N. L., 2013, CLIMATE CHANGE 2013
[7]   Detection of changes in temperature extremes during the second half of the 20th century [J].
Christidis, N ;
Stott, PA ;
Brown, S ;
Hegerl, GC ;
Caesar, J .
GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (20) :1-4
[8]   The contribution of anthropogenic forcings to regional changes in temperature during the last decade [J].
Christidis, Nikolaos ;
Stott, Peter A. ;
Zwiers, Francis W. ;
Shiogama, Hideo ;
Nozawa, Toru .
CLIMATE DYNAMICS, 2012, 39 (06) :1259-1274
[9]   The Role of Human Activity in the Recent Warming of Extremely Warm Daytime Temperatures [J].
Christidis, Nikolaos ;
Stott, Peter A. ;
Brown, Simon J. .
JOURNAL OF CLIMATE, 2011, 24 (07) :1922-1930
[10]   Global Land-Based Datasets for Monitoring Climatic Extremes [J].
Donat, M. G. ;
Alexander, L. V. ;
Yang, H. ;
Durre, I. ;
Vose, R. ;
Caesar, J. .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2013, 94 (07) :997-1006