【摘要】 对2016—2018年大连市86次降水过程（≥5 mm）高空资料进行统计分析，得到主要的降水天气形势场，即冬季为高空槽、东北冷涡和平直西风气流形势场，春、夏、秋季为高空槽、东北冷涡、副热带高压西南气流、西北气流及江淮气旋形势场。对新建SA多普勒雷达资料进行PUP分析，得到降水回波特征和特征参数值，以及主要降水云系（层状云、积层混合云和对流云）。根据雷达回波强度、垂直积分液态水含量等特征参数及变化，结合冷云催化原理等综合分析，建立了基于SA多普勒雷达的人工增雨（雪）作业预警、决策判别指标（回波强度≥16 dBZ、垂直积分液态水含量≥1 kg/m~2）。通过对2019年41次降水个例雷达资料进行指标验证和分析，得到87%及以上的准确率，对4月13日一次实例通过火箭增雨决策系统业务运行和雷达指标决策等分析，取得了预期效果。更多还原

【Abstract】 The upper-air data of 86 precipitation events （≥5 mm）in Dalian from 2016 to 2018 are counted and analyzed,main synoptic patterns are obtained,patterns include high-level trough,Northeast China Cold Vortex,zonal westerlies in winter,while patterns involve high-level trough,Northeast China Cold Vortex,southwest flows of subtropical high,northwest flows and Changjiang-Huaihe cyclone in other seasons.After data processing via PUP,radar echo evolution patterns and feature parameters are derived,corresponding to clouds manifest stratiform,stratiform-convective mixed and convective patterns.According to feature parameters such as reflectivity,vertically integrated liquid water content(VIL)and so forth,combined with cold cloud catalytic principle,the system containing SA radar-based artificial precipitation operation,early warning and decision-making index(reflectivity greater than or equal to 16 dBZ,VIL greater than or equal to 1 kg/m~2 and so forth) is developed.By examining radar data of 41 cases in 2019,the accuracy rate shows over 87%.Additionally,a case on 13April 2019 was operationally tested by this system,desired effects are achieved.更多还原