Development and Test of Hydrostatic Extraction Scheme in Spectral Model

作     者：张道民 盛华 纪立人 

作者机构：Institute of Atmospheric Physics Academia Sinica.Beijing 100080 Institute of Atmospheric Physics Academia Sinica.Beijing 100080 he introduction of "hydrostatic extraction" scheme or "standard stratification approximation" into spectral model gained some advantages compared with commonly used schemes. However computational instability may occur for high vertical resolution versions if the stratification parameter C0 taken as a constant. In this paper the possible cause leading to the instability is discussed and an improved scheme presented where C0 is generalized to be a function of both height and latitudes. Hence the reference atmosphere gets closer to the real atmosphere and the temperature deviation field to be expanded becomes smoother everywhere. Test by real case forecasts shows good computational stability of the new scheme and better prediction performance than-usual schemes of spectral model. 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：1990年第7卷第2期

页      面：142-153页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：This work has been carried out under the support of the Medium-range Numerical Weather Forecast research project 

主　　题：Development and Test of Hydrostatic Extraction Scheme in Spectral Model 

摘      要：The introduction of hydrostatic extraction scheme, or standard stratification approximation , into spectral model gained some advantages compared with commonly used schemes. However, computational instability may occur for high vertical resolution versions if the stratification parameter C0 taken as a constant. In this paper, the possible cause leading to the instability is discussed and an improved scheme presented where C0 is generalized to be a function of both height and latitudes. Hence the reference atmosphere gets closer to the real atmosphere and the temperature deviation field to be expanded becomes smoother everywhere. Test by real case forecasts shows good computational stability of the new scheme and better prediction performance than-usual schemes of spectral model.