EVALUATION OF CONVECTIVE-STRATIFORM RAINFALL SEPARATION SCHEMES BY PRECIPITATION AND CLOUD STATISTICS  

作　　者：沈新勇 刘佳 李小凡 

机构地区：[1]Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science and Technology [2]NOAA/NESDIS/Center for Satellite Applications and Research

出　　处：《Journal of Tropical Meteorology》2012年第1期98-107,共10页热带气象学报（英文版）

基　　金：National Natural Science Foundation of China (41075039,41175065);National Key Basic Research and Development Project of China (2011CB403405);Chinese Special Scientific Research Project for Public Interest (GYHY200806009);Qinglan Project of Jiangsu Province of China (2009)

摘　　要：In this study,two convective-stratiform rainfall partitioning schemes are evaluated using precipitation and cloud statistics for different rainfall types categorized by applying surface rainfall equation on grid-scale data from a two-dimensional cloud-resolving model simulation.One scheme is based on surface rainfall intensity whereas the other is based on cloud content information.The model is largely forced by the large-scale vertical velocity derived from the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment(TOGA COARE).The results reveal that over 40% of convective rainfall is associated with water vapor divergence,which primarily comes from the rainfall type with local atmospheric drying and water hydrometeor loss/convergence,caused by precipitation and evaporation of rain.More than 40% of stratiform rainfall is related to water vapor convergence,which largely comes from the rainfall type with local atmospheric moistening and hydrometeor loss/convergence attributable to water clouds through precipitation and the evaporation of rain and ice clouds through the conversion from ice hydrometeor to water hydrometeor.This implies that the separation methods based on surface rainfall and cloud content may not clearly separate convective and stratiform rainfall.In this study, two convective-stratiform rainfall partitioning schemes are evaluated using precipitation and cloud statistics for different rainfall types categorized by applying surface rainfall equation on grid-scale data from a two-dimensional cloud-resolving model simulation. One scheme is based on surface rainfall intensity whereas the other is based on cloud content information. The model is largely forced by the large-scale vertical velocity derived from the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment （TOGA COARE）. The results reveal that over 40% of convective rainfall is associated with water vapor divergence, which primarily comes from the rainfall type with local atmospheric drying and water hydrometeor loss/convergence, caused by precipitation and evaporation of rain. More than 40% of stratiform rainfall is related to water vapor convergence, which largely comes from the rainfall type with local atmospheric moistening and hydrometeor loss/convergence attributable to water clouds through precipitation and the evaporation of rain and ice clouds through the conversion from ice hydrometeor to water hydrometeor. This implies that the separation methods based on surface rainfall and cloud content may not clearly separate convective and stratiform rainfall.

关 键 词：partitioning scheme TOGA COARE convective-stratiform rainfall STATISTICS 

分 类 号：P435[天文地球—大气科学及气象学]