REGIONAL CLIMATE MODELS ADD VALUE TO GLOBAL MODEL DATA A Review and Selected Examples

被引：361

作者：

Feser, Frauke ^{[1
]}

Rockel, Burkhardt ^{[1
]}

von Storch, Hans ^{[1
,4
]}

Winterfeldt, Joerg ^{[2
]}

Zahn, Matthias ^{[3
]}

机构：

[1] Helmholtz Zentrum Geesthacht, Inst Coastal Res, D-21502 Geesthacht, Germany

[2] GE Wind Energy, Salzbergen, Germany

[3] Univ Reading, Environm Syst Sci Ctr, Reading, Berks, England

[4] Univ Hamburg, Hamburg, Germany

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2011年 / 92卷 / 09期

关键词：

ATLANTIC POLAR LOWS; SIMULATION; PRECIPITATION; SENSITIVITY; EUROPE; UNCERTAINTY; RESPONSES;

D O I：

10.1175/2011BAMS3061.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

MRegional atmospheric models are tools used to achieve highresolution climate data from coarsely resolved global models. Regional models show higher detail for mountain ranges or coastal zones, more numerous and differing vegetation and soil characteristics, and a description of smaller-scale atmospheric processes, which lead to the formation of mesoscale weather phenomena. These RCM characteristics are believed to produce model output that is closer to reality than the more coarsely resolved global model data, both for reanalyses for hindcast studies, and for global scenario simulations.

引用

页码：1181 / 1192

页数：12

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