STUDY OF THE EFFECTS OF REDUCING SYSTEMATIC ERRORS ON MONTHLY REGIONAL CLIMATE DYNAMICAL FORECAST

被引：0

作者：

曾新民 ^{[1
,2
,3
]}

席朝笠 ^{[1
,4
]}

机构：

[1] Institute of Meteorology, PLA University of Science and Technology

[2] Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Chinese Academy of Sciences

[3] Key Laboratory for Mesoscale Severe Weather of Ministry of Education

[4] Air Force Meteorological Observatory of Zhangjiakou

来源：

Journal of Tropical Meteorology | 2009年 / 15卷 / 01期

基金：

中国国家自然科学基金;

关键词：

climatology; monthly regional climate; dynamical forecast; systematic errors;

D O I：

暂无

中图分类号：

P456.7 [数值预报方法];

学科分类号：

0706 ; 070601 ;

摘要：

A nested-model system is constructed by embedding the regional climate model RegCM3 into a general circulation model for monthly-scale regional climate forecast over East China. The systematic errors are formulated for the region on the basis of 10-yr (1991-2000) results of the nested-model system, and of the datasets of the Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) and the temperature analysis of the National Meteorological Center (NMC), U.S.A., which are then used for correcting the original forecast by the system for the period 2001-2005. After the assessment of the original and corrected forecasts for monthly precipitation and surface air temperature, it is found that the corrected forecast is apparently better than the original, suggesting that the approach can be applied for improving monthly-scale regional climate dynamical forecast.

引用

页码：102 / 105

页数：4

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