Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset

被引：996

作者：

Donat, M. G. ^{[1
]}

Alexander, L. V. ^{[1
,2
]}

Yang, H. ^{[1
]}

Durre, I. ^{[3
]}

Vose, R. ^{[3
]}

Dunn, R. J. H. ^{[4
]}

Willett, K. M. ^{[4
]}

Aguilar, E. ^{[5
]}

Brunet, M. ^{[5
,21
]}

Caesar, J. ^{[4
]}

Hewitson, B. ^{[6
]}

Jack, C. ^{[6
]}

Tank, A. M. G. Klein ^{[7
]}

Kruger, A. C. ^{[8
]}

Marengo, J. ^{[9
]}

Peterson, T. C. ^{[3
]}

Renom, M. ^{[10
]}

Oria Rojas, C. ^{[11
]}

Rusticucci, M. ^{[12
]}

Salinger, J. ^{[13
]}

Elrayah, A. S. ^{[14
]}

Sekele, S. S. ^{[8
]}

Srivastava, A. K. ^{[15
]}

Trewin, B. ^{[16
]}

Villarroel, C. ^{[17
]}

Vincent, L. A. ^{[18
]}

Zhai, P. ^{[19
]}

Zhang, X. ^{[18
]}

Kitching, S. ^{[2
,20
]}

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

[3] NOAAs Natl Climat Data Ctr, Asheville, NC USA

[4] Hadley Ctr, Met Off, Exeter, Devon, England

[5] Univ Rovira & Virgili, Ctr Climate Change, Dep Geog, Tarragona, Spain

[6] Univ Cape Town, Climate Syst Anal Grp, ZA-7925 Cape Town, South Africa

[7] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands

[8] South African Weather Serv, Climate Serv, Pretoria, South Africa

[9] Natl Inst Space Res INPE, Earth Syst Sci Ctr CCST, Sao Paulo, Brazil

[10] Univ Republica, Unidad Ciencias Atmosfera, Montevideo, Uruguay

[11] SENAMHI, Lima, Peru

[12] Univ Buenos Aires, Dept Ciencias Atmosfera & Oceanos, Buenos Aires, DF, Argentina

[13] Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA

[14] SMA, Khartoum, Sudan

[15] Indian Meteorol Dept, Pune, Maharashtra, India

[16] Bur Meteorol, Melbourne, Vic, Australia

[17] Direcc Meteorol Chile, Oficina Estudios, Santiago, Chile

[18] Environm Canada, Climate Res Div, Toronto, ON, Canada

[19] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China

[20] Newcastle Univ, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

[21] Univ E Anglia, Sch Environm Sci, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England

来源：

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES | 2013年 / 118卷 / 05期

基金：

澳大利亚研究理事会; 巴西圣保罗研究基金会;

关键词：

CLIMATE EXTREMES; MONITORING CHANGES; TRENDS; RAINFALL; VARIABILITY; PACIFIC;

D O I：

10.1002/jgrd.50150

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

In this study, we present the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2. Indices were calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Teamon Climate Change Detection and Indices, resulting in the production of 17 temperature and 12 precipitation indices derived from daily maximum and minimum temperature and precipitation observations. High-quality in situ observations from over 7000 temperature and 11,000 precipitation meteorological stations across the globe were obtained to calculate the indices over the period of record available for each station. Monthly and annual indices were then interpolated onto a 3.75 degrees x 2.5 degrees longitude-latitude grid over the period 1901-2010. Linear trends in the gridded fields were computed and tested for statistical significance. Overall there was very good agreement with the previous HadEX dataset during the overlapping data period. Results showed widespread significant changes in temperature extremes consistent with warming, especially for those indices derived from daily minimum temperature over the whole 110 years of record but with stronger trends in more recent decades. Seasonal results showed significant warming in all seasons but more so in the colder months. Precipitation indices also showed widespread and significant trends, but the changes were much more spatially heterogeneous compared with temperature changes. However, results indicated more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends.

引用

页码：2098 / 2118

页数：21

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