Mean and variance evolutions of the hot and cold temperatures in Europe

被引:20
|
作者
Parey, Sylvie [1 ]
Dacunha-Castelle, D. [2 ]
Hoang, T. T. Huong [1 ,2 ]
机构
[1] EDF R&D, F-78401 Chatou, France
[2] Univ Paris 11, Math Lab, Orsay, France
关键词
Non-parametric trends; Mean and variance; Temperature; CONFIDENCE-INTERVALS; VARIABILITY; CLIMATE;
D O I
10.1007/s00382-009-0557-0
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this paper, we examine the trends of temperature series in Europe, for the mean as well as for the variance in hot and cold seasons. To do so, we use as long and homogenous series as possible, provided by the European Climate Assessment and Dataset project for different locations in Europe, as well as the European ENSEMBLES project gridded dataset and the ERA40 reanalysis. We provide a definition of trends that we keep as intrinsic as possible and apply non-parametric statistical methods to analyse them. Obtained results show a clear link between trends in mean and variance of the whole series of hot or cold temperatures: in general, variance increases when the absolute value of temperature increases, i.e. with increasing summer temperature and decreasing winter temperature. This link is reinforced in locations where winter and summer climate has more variability. In very cold or very warm climates, the variability is lower and the link between the trends is weaker. We performed the same analysis on outputs of six climate models proposed by European teams for the 1961-2000 period (1950-2000 for one model), available through the PCMDI portal for the IPCC fourth assessment climate model simulations. The models generally perform poorly and have difficulties in capturing the relation between the two trends, especially in summer.
引用
收藏
页码:345 / 359
页数:15
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