大兴安岭林区一次飞机增雨作业的条件识别和效果分析  

The Seeding Conditions Recognition and Effectiveness Analysis of Artificial Precipitation Enhancement in Daxing'anling Region

作　　者：郑凯[1] 张苗苗[1] 

机构地区：[1]黑龙江省人工影响天气办公室,黑龙江哈尔滨150030

出　　处：《安徽农业科学》2015年第30期167-170,共4页Journal of Anhui Agricultural Sciences

摘　　要：应用GRAPES模式预报资料、卫星云特征参量产品、L波段探空数据、雷达资料等,对2015年6月6日大兴安岭林区一次飞机增雨作业过程进行条件判别并初步分析了作业效果。结果表明,GRAPES模式对云宏观场的模拟效果较好,云带范围、云顶高度、云顶温度、发展趋势与实况基本一致,垂直累积过冷水含量及其水凝物的预报为作业条件的识别提供了重要参考;作业后影响区内降水回波面积增大、回波增强,云层增厚,垂直累积液态水含量有所增加。The seeding conditions and effectiveness of artificial precipitation enhancement in Daxing＇ anling region in 6 June 2015 are ana- lyzed combined with the forecast data of GRAPES model, the satellite cloud characteristics products, L-band sounding data, radar data etc. The results show that the cloud band range, cloud top temperature, cloud top height and the development trend simulated is consistent with the observations. The forecast of vertically integrated super-cooled water content and its height provides important reference for the cloud seeding potential area identification. As the result of the operation effectiveness of precipitation enhancement operations, radar echo intensity and verti- caUy integrated liquid content in target area increased, the clouds thickened after operation.

关 键 词：增雨作业 条件识别 效果评估 

分 类 号：S423.9[农业科学—植物保护]