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A NEW CUMULUS PARAMETERIZATION SCHEME AND ITS APPLICATION TO PRECIPITATION NUMERICAL PREDICTION
作者姓名:许习华  丁一汇
作者单位:National Research Center for Marine Environment Forecasts,Beijing 100081,PRC,Academy of Meteorological Sciences,SMA,Beijing 100081,PRC
摘    要:According to the characteristics of cumulus and stratiform clouds during the meiyu period (plum rains) over Jianghuai valleys (the Changjiang (Yangtze) River and the Huaihe River), a modified Kuo-type cumulus parameterization scheme applicable to midlatitude con-vective systems is suggested in this paper. It is often observed that cumulus and stratiform clouds coexist in a rain-bearing synoptic systems and the precipitation amount associated with this system may be amplified by their interaction. With some important processes of cloud physics taken into account, we use a simple seeder-feeder model (including colloidal instability, collision effect and entrainment) to describe this process of interaction within framework of Kuo-type cumulus parameterization. It is found that the rainfall amount caused by ice crystal effect accounts for 30-40% of total rainfall, but the collision effect is not so great generally. We introduced this scheme to the regional numerical model used by Wuhan Observatory of Hubei


A NEW CUMULUS PARAMETERIZATION SCHEME AND ITS APPLICATION TO PRECIPITATION NUMERICAL PREDICTION
XU XI-HUA.A NEW CUMULUS PARAMETERIZATION SCHEME AND ITS APPLICATION TO PRECIPITATION NUMERICAL PREDICTION[J].Science in China(Chemistry),1991(7).
Authors:XU XI-HUA
Abstract:According to the characteristics of cumulus and stratiform clouds during the meiyu period (plum rains) over Jianghuai valleys (the Changjiang (Yangtze) River and the Huaihe River), a modified Kuo-type cumulus parameterization scheme applicable to midlatitude con-vective systems is suggested in this paper. It is often observed that cumulus and stratiform clouds coexist in a rain-bearing synoptic systems and the precipitation amount associated with this system may be amplified by their interaction. With some important processes of cloud physics taken into account, we use a simple seeder-feeder model (including colloidal instability, collision effect and entrainment) to describe this process of interaction within framework of Kuo-type cumulus parameterization. It is found that the rainfall amount caused by ice crystal effect accounts for 30-40% of total rainfall, but the collision effect is not so great generally. We introduced this scheme to the regional numerical model used by Wuhan Observatory of Hubei Meteorological Service to make tests of its performance. With six experiments of prediction of precipitation during the meiyu period, the results are very encouraging, especially good in the cases of coexistence of cumulus and stratiform clouds.
Keywords:cumulus parameterization  interaction of cumulus and stratiform cloud  precipitation prediction    
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