为了研究2023年春末时期四川地区强降水天气过程,本文采用中国气象局常规自动站观测资料和日本的葵花9号卫星数据,通过天气学诊断分析方法,对发生在2023年春末四川地区的2次强降水天气过程进行对比分析,得到以下结果:1) 2023年春末四川...为了研究2023年春末时期四川地区强降水天气过程,本文采用中国气象局常规自动站观测资料和日本的葵花9号卫星数据,通过天气学诊断分析方法,对发生在2023年春末四川地区的2次强降水天气过程进行对比分析,得到以下结果:1) 2023年春末四川地区出现的强降水天气主要在西太平洋副热带高压强盛的背景下产生,一般还伴随着气旋式切边或短波槽存在,在春末时期偶尔会有冷空气南下造成降水天气。2) 一次降水天气过程期间一般有多个对流活动演变,葵花9号卫星资料可以观测生命周期较短的对流天气过程,在对流云团很小的初生阶段也能比较清晰地观测出来。3) 在一定前提下,通过监测红外和水汽通道上的最低亮温变化可以在一定程度下预防强对流活动以及强降水天气。In order to study the weather process of heavy precipitation in Sichuan in late spring of 2023, this paper uses the observation data of the automatic station of the China Meteorological Administration and the Himawari-9 data of Japan to analyze the background of the circulation situation and analyze the cloud map data through the meteorological diagnostic analysis method, and analyze and compare the five heavy precipitation weather processes that occurred in Sichuan in the late spring of 2023, and obtain the following results: 1) Most of the heavy precipitation weather in Sichuan during the late spring period occurred under the background of the western Pacific subtropical high. There are accompanied by cyclonic trimming or shortwave troughs, and in late spring, cold air occasionally moves southward to cause precipitation. 2) There are generally multiple convective activities during a precipitation weather process, and the Himawari-9 data can observe convective weather processes with short life cycles, and can also be observed relatively clearly in the initial stage when the convective clouds are small. 3) Under certain conditions, severe convective activities and heavy precipitation can be prevented to a certain extent by monitoring the changes of minimum bright temperature on infrared and water vapor channels.展开更多
文摘为了研究2023年春末时期四川地区强降水天气过程,本文采用中国气象局常规自动站观测资料和日本的葵花9号卫星数据,通过天气学诊断分析方法,对发生在2023年春末四川地区的2次强降水天气过程进行对比分析,得到以下结果:1) 2023年春末四川地区出现的强降水天气主要在西太平洋副热带高压强盛的背景下产生,一般还伴随着气旋式切边或短波槽存在,在春末时期偶尔会有冷空气南下造成降水天气。2) 一次降水天气过程期间一般有多个对流活动演变,葵花9号卫星资料可以观测生命周期较短的对流天气过程,在对流云团很小的初生阶段也能比较清晰地观测出来。3) 在一定前提下,通过监测红外和水汽通道上的最低亮温变化可以在一定程度下预防强对流活动以及强降水天气。In order to study the weather process of heavy precipitation in Sichuan in late spring of 2023, this paper uses the observation data of the automatic station of the China Meteorological Administration and the Himawari-9 data of Japan to analyze the background of the circulation situation and analyze the cloud map data through the meteorological diagnostic analysis method, and analyze and compare the five heavy precipitation weather processes that occurred in Sichuan in the late spring of 2023, and obtain the following results: 1) Most of the heavy precipitation weather in Sichuan during the late spring period occurred under the background of the western Pacific subtropical high. There are accompanied by cyclonic trimming or shortwave troughs, and in late spring, cold air occasionally moves southward to cause precipitation. 2) There are generally multiple convective activities during a precipitation weather process, and the Himawari-9 data can observe convective weather processes with short life cycles, and can also be observed relatively clearly in the initial stage when the convective clouds are small. 3) Under certain conditions, severe convective activities and heavy precipitation can be prevented to a certain extent by monitoring the changes of minimum bright temperature on infrared and water vapor channels.
文摘利用1980—2012年NCEP/NCAR逐6 h海平面气压再分析资料及定义的气旋客观识别方法,统计分析了春末夏初江淮地区气旋活动频数和强度的气候特征及其年际、年代际变化。结果表明:5—7月江淮地区存在明显的气旋活动高频中心,5、6月高频中心位于两湖盆地之间;7月北移,淮河以南频数较高。20世纪80—90年代江淮气旋活动频数偏少,强度偏弱;21世纪初期的10 a间气旋活动频数偏多,强度偏强。气旋活动频数多发年与少发年500 h Pa均出现稳定的长波环流结构,但仍存在显著差异。多发年两个南支槽向南伸展直达阿拉伯海和孟加拉湾地区,少发年仅出现孟加拉湾南支槽。多发年,对流层低层华南至江淮地区存在气旋式环流辐合异常中心,高层则出现辐散异常。西风带上的异常扰动沿着副热带急流向东亚地区传播能量,导致东部地区出现异常气旋式环流,为江淮气旋的发生提供了有利的环流背景。
