On the statistical significance of surface air temperature trends in the Eurasian Arctic region

被引:20
作者
Franzke, C. [1 ]
机构
[1] British Antarctic Survey, NERC, Cambridge CB3 0ET, England
基金
英国自然环境研究理事会;
关键词
LONG-RANGE DEPENDENCE; EMPIRICAL MODE DECOMPOSITION; CLIMATE NOISE PROPERTIES; TIME-SERIES;
D O I
10.1029/2012GL054244
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study investigates the statistical significance of the trends of station temperature time series from the European Climate Assessment & Data archive poleward of 60 degrees N. The trends are identified by different methods and their significance is assessed by three different null models of climate noise. All stations show a warming trend but only 17 out of the 109 considered stations have trends which cannot be explained as arising from intrinsic climate fluctuations when tested against any of the three null models. Out of those 17, only one station exhibits a warming trend which is significant against all three null models. The stations with significant warming trends are located mainly in Scandinavia and Iceland. Citation: Franzke, C. (2012), On the statistical significance of surface air temperature trends in the Eurasian Arctic region, Geophys. Res. Lett., 39, L23705, doi:10.1029/2012GL054244.
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页数:5
相关论文
共 27 条
[21]  
Polyakov IV, 2003, J CLIMATE, V16, P2067, DOI 10.1175/1520-0442(2003)016<2067:VATOAT>2.0.CO
[22]  
2
[23]  
Robinson PeterM., 2003, TIME SERIES LONG MEM, P4
[24]   Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment [J].
Tank, AMGK ;
Wijngaard, JB ;
Können, GP ;
Böhm, R ;
Demarée, G ;
Gocheva, A ;
Mileta, M ;
Pashiardis, S ;
Hejkrlik, L ;
Kern-Hansen, C ;
Heino, R ;
Bessemoulin, P ;
Müller-Westermeier, G ;
Tzanakou, M ;
Szalai, S ;
Pálsdóttir, T ;
Fitzgerald, D ;
Rubin, S ;
Capaldo, M ;
Maugeri, M ;
Leitass, A ;
Bukantis, A ;
Aberfeld, R ;
Van Engelen, AFV ;
Forland, E ;
Mietus, M ;
Coelho, F ;
Mares, C ;
Razuvaev, V ;
Nieplova, E ;
Cegnar, T ;
López, JA ;
Dahlström, B ;
Moberg, A ;
Kirchhofer, W ;
Ceylan, A ;
Pachaliuk, O ;
Alexander, LV ;
Petrovic, P .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2002, 22 (12) :1441-1453
[25]   TESTING FOR NONLINEARITY IN TIME-SERIES - THE METHOD OF SURROGATE DATA [J].
THEILER, J ;
EUBANK, S ;
LONGTIN, A ;
GALDRIKIAN, B ;
FARMER, JD .
PHYSICA D, 1992, 58 (1-4) :77-94
[26]   On the trend, detrending, and variability of nonlinear and nonstationary time series [J].
Wu, Zhaohua ;
Huang, Norden E. ;
Long, Steven R. ;
Peng, Chung-Kang .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (38) :14889-14894
[27]   ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD [J].
Wu, Zhaohua ;
Huang, Norden E. .
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2009, 1 (01) :1-41