IMPACT OF THE INITIALIZATION ON MESOSCALE MODEL PREDICTION IN SOUTH CHINA  

作　　者：丁伟钰 万齐林 闫敬华 黄燕燕 陈子通 

机构地区：[1]Guangzhou Institute of Tropical and Marine Meteorology, CMA Guangzhou 510080, China

出　　处：《Journal of Tropical Meteorology》2006年第1期83-84,共2页热带气象学报（英文版）

基　　金：Key Scientific Research Project of Guangdong (2004B32601002);Promotion Project forLatest Meteorological Technology (CMATG2005M17);National Project No.973 (2004CB18307);"Research onAssimilation Techniques for Tropics based on Modern Observation Technologies"

摘　　要：1 INTRODUCTION The initial state of the atmosphere is one of the key factors that affect the result of NWP. With the development of increasingly finer NWP, the quality of initial atmospheric state has been drawing more and more attention . GRAPES 3D- Var （Global and Regional Assimilation and Prediction Enhanced System , a three-dimensional variational data assimilation subsystem developed by the Chinese Academy of Atmospheric Sciences, makes a solution to the issue of NWP data vacancy in China. Owing to it, quantitative application of satellite and radar data in NWP has significant breakthroughs. With the assimilation system of GRAPES 3D-Var and GRAPES regional mesoscale model, this work compares a control and assimilation experiment with regard to a cold air surge affecting south China in late December 2004 and analyzes the sensitivity of mesoscale model forecast on initial values and the effect of initialization on the improvement of forecasting capabilities.

关 键 词：GRAPES 3D-Var mesoscale model initialization impact 

分 类 号：P456.7[天文地球—大气科学及气象学]