The effects of giant cloud condensation nuclei on the structure of precipitation in hailstorm clouds

作     者：YANG HuiLing XIAO Hui HONG YanChao 

作者机构：Laboratory of Cloud-Precipitation Physics and Severe StormsInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China 

出 版 物：《Science China Earth Sciences》 (中国科学（地球科学英文版）)

年 卷 期：2012年第55卷第1期

页      面：126-142页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0708[理学-地球物理学] 0706[理学-大气科学] 0704[理学-天文学] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 40875080 and 40875002) Ministry of Science and Technology of China (Grant No. 2006BAC12B01-01) 

主　　题：aerosol giant cloud condensation nuclei (GCCN) micro-physics hailstorm precipitation 

摘      要：The Regional Atmospheric Modeling System (RAMS) has been used to investigate the effects of varied giant cloud condensation nuclei (GCCN) concentrations on precipitation characteristics of the spring hailstorms in a semi-arid region. The simulation result shows that this variation has significant effects on the storm microphysical processes as well as on the surface precipitation. The coverage of hail and hail mixing ratio maxima in cloud increases with greater GCCN concentrations. The accumulation zone structure benefits the growth of hail particles. Higher GCCN concentrations lead to more supercooled rain water and cloud water available for freezing. This simulation also shows that increasing GCCN concentrations may produce more rainfall on the surface but less hail precipitation, and the total accumulated precipitation increases while the ice phase precipitation decreases. This effect is stronger in polluted air than in clean air. The surface flow field changes with different GCCN concentrations. The identification index of spring hailstorm is different from that of summer hailstorm with a different aerosol background.