Simulation of surface air temperature by GCMs, statistical downscaling and weather generator: Higher-order statistical moments

被引:12
作者
Huth, R [1 ]
Kysely, J [1 ]
Dubrovsky, M [1 ]
机构
[1] Acad Sci Czech Republ, Inst Atmospher Phys, Prague 14131 4, Czech Republic
关键词
daily temperature; higher-order statistical moments; global climate models; statistical downscaling; weather generator;
D O I
10.1023/A:1022216025554
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The third and fourth statistical moments, that is, skewness and kurtosis, are compared for daily maximum temperature in summer and daily minimum temperature in winter between observations, outputs of two global climate models, four versions of statistical downscaling, and weather generator. The comparison is performed at six stations in central Europe. None of the simulation models can be considered as superior to the others. Causes of a good correspondence with and differences from observations are identified e.g. in the treatment of physics in the models, imperfections in physical parameterizations, or a linear transfer of properties from predictors onto predictands in statistical downscaling.
引用
收藏
页码:203 / 216
页数:14
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