Temporal error estimate for statistical downscaling regional meteorological models

被引：0

作者：

Dmitriev, Egor V. ^{[1
]}

Nogotkov, Ilva V. ^{[1
]}

Rogutov, Vladimir S. ^{[1
]}

Khomenko, Gueorgui ^{[2
]}

Chavro, Anatoly I. ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Numer Math, 8 Ul Gubkina,119991 GSP 1, Moscow, Russia

[2] ELICO, MREN, Lab Oceanog Cotiere Littoral, F-62930 Wimereux, France

来源：

FISICA DE LA TIERRA | 2007年 / 19卷

关键词：

statistical downscaling; regional climate; temporal error estimate; inverse problems;

D O I：

暂无

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：

Statistical characteristics of error. However, at given instants or even time periods the solution error of the considered problem can be much higher than its estimate that may be very important when using the results of downscaling. This paper is dedicated to testing the stochastic parameter known as "model reliability" as an indicator of temporal changes of the solution accuracy. For this purpose we considered several basic geophysical applications of downscaling. We show below that the probabilistic parameter "reliability of model" can be used for forecasting time points when the small-scale field is retrieved with high errors.

引用

页码：219 / 241

页数：23

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