The shifting probability distribution of global daytime and night-time temperatures

被引:266
作者
Donat, Markus G. [1 ]
Alexander, Lisa V. [1 ,2 ]
机构
[1] Univ New S Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia
[2] Univ New S Wales, ARC, Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会;
关键词
PRECIPITATION; EXTREMES; SIMULATIONS; ENSEMBLE; SUMMER; EUROPE; SCALE;
D O I
10.1029/2012GL052459
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Using a global observational dataset of daily gridded maximum and minimum temperatures we investigate changes in the respective probability density functions of both variables using two 30-year periods; 1951-1980 and 1981-2010. The results indicate that the distributions of both daily maximum and minimum temperatures have significantly shifted towards higher values in the latter period compared to the earlier period in almost all regions, whereas changes in variance are spatially heterogeneous and mostly less significant. However asymmetry appears to have decreased but is altered in such a way that it has become skewed towards the hotter part of the distribution. Changes are greater for daily minimum (night-time) temperatures than for daily maximum (daytime) temperatures. As expected, these changes have had the greatest impact on the extremes of the distribution and we conclude that the distribution of global daily temperatures has indeed become "more extreme" since the middle of the 20th century. Citation: Donat, M. G., and L. V. Alexander (2012), The shifting probability distribution of global daytime and night-time temperatures, Geophys. Res. Lett., 39, L14707, doi:10.1029/2012GL052459.
引用
收藏
页数:5
相关论文
共 24 条
[11]   Simple nonparametric techniques for exploring changing probability distributions of weather [J].
Ferro, CAT ;
Hannachi, A ;
Stephenson, DB .
JOURNAL OF CLIMATE, 2005, 18 (21) :4344-4354
[12]  
Folland CK, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P99
[13]   Change in mean temperature as a predictor of extreme temperature change in the Asia-Pacific region [J].
Griffiths, GM ;
Chambers, LE ;
Haylock, MR ;
Manton, MJ ;
Nicholls, N ;
Baek, HJ ;
Choi, Y ;
Della-Marta, PM ;
Gosai, A ;
Iga, N ;
Lata, R ;
Laurent, V ;
Maitrepierre, L ;
Nakamigawa, H ;
Ouprasitwong, N ;
Solofa, D ;
Tahani, L ;
Thuy, DT ;
Tibig, L ;
Trewin, B ;
Vediapan, K ;
Zhai, P .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2005, 25 (10) :1301-1330
[14]  
Hegerl GC, 2004, J CLIMATE, V17, P3683, DOI 10.1175/1520-0442(2004)017<3683:DOACIA>2.0.CO
[15]  
2
[16]   An overview of the Global Historical Climatology Network monthly mean temperature data set, version 3 [J].
Lawrimore, Jay H. ;
Menne, Matthew J. ;
Gleason, Byron E. ;
Williams, Claude N. ;
Wuertz, David B. ;
Vose, Russell S. ;
Rennie, Jared .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
[17]   Spatial and seasonal patterns in climate change, temperatures, and precipitation across the United States [J].
Portmann, Robert W. ;
Solomon, Susan ;
Hegerl, Gabriele C. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (18) :7324-7329
[18]  
Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
[19]   Evolution of extreme temperatures in a warming climate [J].
Simolo, C. ;
Brunetti, M. ;
Maugeri, M. ;
Nanni, T. .
GEOPHYSICAL RESEARCH LETTERS, 2011, 38
[20]   An intercomparison of trends in surface air temperature analyses at the global, hemispheric, and grid-box scale [J].
Vose, RS ;
Wuertz, D ;
Peterson, TC ;
Jones, PD .
GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (18) :1-4