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中国农学通报 ›› 2015, Vol. 31 ›› Issue (17): 196-201.doi: 10.11924/j.issn.1000-6850.casb15010031

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

2014年夏季内蒙古通辽市局地暴雨中尺度特征分析与讨论

江靖   

  1. 内蒙古自治区气象台
  • 收稿日期:2015-01-07 修回日期:2015-04-07 接受日期:2015-04-21 出版日期:2015-07-27 发布日期:2015-07-27
  • 通讯作者: 江靖
  • 基金资助:
    中国局气象关键技术集成与应用 (面上) 项目 “内蒙古西部暴雨预报集成系统建设” (CMAGJ2013M08); 内蒙古暴雨预报创新团队。

Feature Analysis of Mesoscale Convective System and Discussion of a Torrential Rain in the Summer of 2014 in Tongliao City, Inner Mongolia

  • Received:2015-01-07 Revised:2015-04-07 Accepted:2015-04-21 Online:2015-07-27 Published:2015-07-27

摘要: 利用常规天气资料、卫星、雷达及地面自动站等资料对2014年7月15日内蒙古通辽市局地暴雨过程进行了分析和讨论。结果表明,本次暴雨过程强降水范围小,强度集中,短历时特点显著,具有局地性和突发性,预报难度较大。此次局地暴雨主要由中、小尺度系统引起,卫星云图上表现为中-γ尺度、中-β尺度到中-α尺度对流云团,最后发展为MCS复合体的演变过程,对流云团的合并、发展、加强导致了短时强降水的发生。雷达的回波形态与对流云团的合并有很好的对应关系。强的垂直风切变和中层干冷空气的入侵为本次暴雨提供了有利条件。地面中尺度辐合系统是本次局地暴雨的触发机制。研究后发现,应加强对高分辨率监测产品的分析和解读,结合对天气形势、周边环境特点的充分了解和把握,可以有效地提高预报员对局地强天气的预报预警能力。

关键词: 解放初期, 解放初期, 奶业发展, 政策措施

Abstract: In this paper, using data of conventional observation, satellite, radar and ground automatic stations on July 15, 2014 in Tongliao City, Inner Mongolia, local rainstorm process was analyzed and discussed. The results showed that the rainstorm had significant characteristics of strong intensity, small range, short duration; it was local and burst, and difficult to forecast. The local heavy rain mainly caused by the medium and small scale systems, satellite cloud pictures showed a performance of meso γ scale, meso β scale to meso α scale convective clouds, which finally developed to mesoscale convective system (MCS), and the merging, development and strengthening of convective clouds led to the short-time strong rainfall. Radar echo form had a good corresponding relationship to the convective clouds. Strong vertical wind shear and the middle dry cold air intrusion provided favorable conditions for the rainstorm. The surface mesoscale convergence and system were the trigger mechanism of local heavy rain. Therefore, analysis and interpretation of high resolution monitoring products, combining with understanding and grasp of weather situation and characteristics of the surrounding environment can effectively improve the forecast ability of strong local weather.