摘要
利用地面气象站资料,分析了2005年1月1日至2014年12月31日抚顺市区雷暴日天气过程。对其进行天气类型普查,应用常规的天气学分析方法,分析其大尺度环流背景,按其主要影响系统建立天气模型;提取每日08:00沈阳探空站物理量参数,自动生成每日雷暴发生概率及各物理量参数对比文档。
Based on the data of surface meteorological stations, the thunderstorm weather process from January 1, 2005 to December 31, 2014 in Fushun City was analyzed. Using the conventional synoptic analysis method, the background of large-scale circulation on thunderstorm occurrence day was analyzed, the main influencing system was found out, and the weather model was established. The physical parameters of Shenyang sounding station at 08:00 were extracted, and the daily thunderstorm occurrence probability and comparison documents of physical parameters were automatically generated.
出处
《农业灾害研究》
2019年第1期64-65,共2页
Journal of Agricultural Catastrophology
关键词
雷暴
模型
自动化
Thunderstorm
Model
Automation
