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投稿时间：2010-07-30 修订日期：2011-07-06
投稿时间：2010-07-30 修订日期：2011-07-06
中文摘要: 利用耦合了CAMS详尽云方案和非静力中尺度数值模式MM5V3的CAMS中尺度云分辨模式对2008年3月20—21日环北京地区的一次层状云系降水进行模拟和人工催化数值试验。模拟自然降水分布与实测结果一致，分析微物理特征并在所得分析的基础上进行催化试验。研究在不同催化剂量、高度进行试验对降水的影响。结果表明：在过冷水含量高且冰晶含量低的区域引入人工冰晶可使地面降水增加。〖JP2〗引入人工冰晶后催化区域水汽明显减少，云水也有减少，冰晶粒子和雪粒子增加，而且水汽减少的量明显大于过冷云水的减少量。同时催化后550 hPa附近的下沉气流中心变为上升气流，动力、热力效应明显。雪碰并冰晶增长、冰晶转化成雪增长是催化高度附近雪晶增加的主要过程，而催化高度以下，雪碰并过冷云滴增长是雪晶增加的主要过程；雪晶碰并过冷雨滴增长是霰粒子增加的主要过程；雨滴碰并云滴增长是雨滴增长的主要过程。
Abstract:A stratiform preicipitation during 20-21 March 2008 is simulated using the mesoscale model MM5V3 coupled with CAMS explicit cloud microphysics scheme. Simulation of rainfall is very similar to observation. Adding artificial ice particles at different area and time can lead to different results. When seeding is maded in areas with high content of supercooled water and low content of ice particles, surface precipitation will be increased. After seeding, supercooled water decreases while ice, snowfall and graupel increases. Above the seeding level, the collection of ice by snow, the conversion of ice to snow are the main source of snow; below the seeding level, the collection of supercooled cloud water to snow is the main source of snow. The collection of snow to supercooled raindrops is the main source of graupel. The main source of raindrops is the collection of raindrops to cloud water.
keywords: stratiform precipitation, seeding tests, CAMS explicit cloud microphysics scheme, seeding experiment
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基金项目:国家科技支撑计划(2006BAC12B01)资助
引用文本：
高茜,王广河,史月琴,2011.华北层状云系人工增雨个例数值研究[J].气象,37(10):1241-1251.
Gao Qian,Wang Guanghe,Shi Yueqin,2011.Numerical Simulation and Seeding Test on the Stratiform Precipitation Around Beijing[J].Meteor Mon,37(10):1241-1251.
高茜,王广河,史月琴,2011.华北层状云系人工增雨个例数值研究[J].气象,37(10):1241-1251.
Gao Qian,Wang Guanghe,Shi Yueqin,2011.Numerical Simulation and Seeding Test on the Stratiform Precipitation Around Beijing[J].Meteor Mon,37(10):1241-1251.