文章使用葵花9号卫星资料与常规观测资料,利用环流形势分析、物理量场分析与云图分析对2023年8月上中旬四川地区两次降水过程进行分析。结果表明:1) 两次过程按主要影响系统可分为西南涡与东海台风型、南亚高压型。2) 高时空分辨率的葵...文章使用葵花9号卫星资料与常规观测资料,利用环流形势分析、物理量场分析与云图分析对2023年8月上中旬四川地区两次降水过程进行分析。结果表明:1) 两次过程按主要影响系统可分为西南涡与东海台风型、南亚高压型。2) 高时空分辨率的葵花卫星云图可清晰分别对流云边界与轮廓,更容易判断对流发展的阶段、强度变化与移动方向。3) 对流云从初生到产生强降水的发展特征主要可分为单独对流云过程与有对流云融合过程两类,两类最主要的区别就是对流云融合过程比单独对流云过程多了加速发展过程,在亮温不变或波动上升阶段后有一明显的再加速下降过程。4) 最低红外亮温低于210 K且观测到红外亮温快速下降、红外与水汽亮温同步降低至212 K以下、红外与水汽亮温差降低至2 K以下,使用这三个特征来预测强降水产生时间,可提高预测的准确性。The Himawari-9 satellite data and conventional observation data were used to analyze the two heavy precipitation processes in Sichuan in August 2023, using circulation situation analysis, physical quantity field analysis and cloud image analysis. The results show that 1) the two processes can be categorized into the Southwest China vortex and East China Sea typhoon type, the South Asian high type, the South China Sea typhoon type, and the Western Pacific Subtropical High type according to the main influencing systems. 2) The high temporal and spatial resolution of the Himawari satellite cloud image can clearly separate the boundary and outline of the convective cloud, which makes it easier to judge the stage of convective development, intensity change and moving direction. 3) The development characteristics of convective clouds from the initial generation to the production of heavy precipitation can be divided into two categories: the process of convective clouds alone and the process of convective cloud fusion. The main difference between the two categories is that the process of convective cloud fusion is more accelerated than the process of convective clouds alone, which is reflected as a clear re-accelerating process of decreasing in the bright temperature evolution diagram after the bright temperature remains unchanged or fluctuates in the rising stage. 4) The three features of the minimum TBB13 below 210 K and the observed rapid decrease of TBB13, the simultaneous decrease of TBB13 and TBB8 below 212 K, and the decrease of the difference between TBB13 and TBB8 below 2 K, which can be utilized to improving the accuracy of predicting the generation of heavy precipitation.展开更多
本文利用常规气象观测数据和葵花9号卫星产品,通过环流形势分析、物理量场分析与葵花9号云图分析,对2023年8月下旬和9月上旬四川地区两次降水过程进行对比分析。结果表明:1) 两次过程按主要影响系统可分为南海台风型、副热带高压型。2)...本文利用常规气象观测数据和葵花9号卫星产品,通过环流形势分析、物理量场分析与葵花9号云图分析,对2023年8月下旬和9月上旬四川地区两次降水过程进行对比分析。结果表明:1) 两次过程按主要影响系统可分为南海台风型、副热带高压型。2) 高时空分辨率的葵花卫星云图可清晰分辨对流云边界与轮廓,更容易判断对流发展的阶段、强度变化与移动方向。3) 对流云从初生到产生强降水的发展特征主要可分为单独对流云过程与有对流云融合过程两类。4) 最低红外亮温低于210 K且观测到红外亮温快速下降、红外与水汽亮温同步降低至212 K以下、红外与水汽亮温差降低至2 K以下这三个特征可在副热带高压型的强降水过程中观测到,使用这三个特征来预测四川地区强降水产生时间,提高预测的准确性。The Himawari-9 satellite data and conventional observation data are used to analyze the heavy precipitation process in Sichuan in late summer and early fall of 2023, using circulation situation analysis, physical quantity field analysis and cloud image analysis. The results show that: 1) the two processes can be categorized into the South China Sea typhoon type, and the Western Pacific Subtropical High type according to the main influencing systems. 2) The high temporal and spatial resolution of the Himawari satellite cloud image can clearly distinguish the boundary and outline of the convective cloud, which makes it easier to judge the stage of convective development, intensity change and moving direction. 3) The development characteristics of convective clouds from the initial generation to the production of heavy precipitation can be divided into two categories. 4) The three features of the minimum TBB13 below 210 K and the observed rapid decrease of TBB13, the simultaneous decrease of TBB13 and TBB8 below 212 K, and the decrease of the difference between TBB13 and TBB8 below 2 K can be observed in heavy precipitation processes the Western Pacific Subtropical High type, which can be utilized to improving the accuracy of predicting the generation of heavy precipitation in Sichuan.展开更多
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
文摘文章使用葵花9号卫星资料与常规观测资料,利用环流形势分析、物理量场分析与云图分析对2023年8月上中旬四川地区两次降水过程进行分析。结果表明:1) 两次过程按主要影响系统可分为西南涡与东海台风型、南亚高压型。2) 高时空分辨率的葵花卫星云图可清晰分别对流云边界与轮廓,更容易判断对流发展的阶段、强度变化与移动方向。3) 对流云从初生到产生强降水的发展特征主要可分为单独对流云过程与有对流云融合过程两类,两类最主要的区别就是对流云融合过程比单独对流云过程多了加速发展过程,在亮温不变或波动上升阶段后有一明显的再加速下降过程。4) 最低红外亮温低于210 K且观测到红外亮温快速下降、红外与水汽亮温同步降低至212 K以下、红外与水汽亮温差降低至2 K以下,使用这三个特征来预测强降水产生时间,可提高预测的准确性。The Himawari-9 satellite data and conventional observation data were used to analyze the two heavy precipitation processes in Sichuan in August 2023, using circulation situation analysis, physical quantity field analysis and cloud image analysis. The results show that 1) the two processes can be categorized into the Southwest China vortex and East China Sea typhoon type, the South Asian high type, the South China Sea typhoon type, and the Western Pacific Subtropical High type according to the main influencing systems. 2) The high temporal and spatial resolution of the Himawari satellite cloud image can clearly separate the boundary and outline of the convective cloud, which makes it easier to judge the stage of convective development, intensity change and moving direction. 3) The development characteristics of convective clouds from the initial generation to the production of heavy precipitation can be divided into two categories: the process of convective clouds alone and the process of convective cloud fusion. The main difference between the two categories is that the process of convective cloud fusion is more accelerated than the process of convective clouds alone, which is reflected as a clear re-accelerating process of decreasing in the bright temperature evolution diagram after the bright temperature remains unchanged or fluctuates in the rising stage. 4) The three features of the minimum TBB13 below 210 K and the observed rapid decrease of TBB13, the simultaneous decrease of TBB13 and TBB8 below 212 K, and the decrease of the difference between TBB13 and TBB8 below 2 K, which can be utilized to improving the accuracy of predicting the generation of heavy precipitation.
文摘本文利用常规气象观测数据和葵花9号卫星产品,通过环流形势分析、物理量场分析与葵花9号云图分析,对2023年8月下旬和9月上旬四川地区两次降水过程进行对比分析。结果表明:1) 两次过程按主要影响系统可分为南海台风型、副热带高压型。2) 高时空分辨率的葵花卫星云图可清晰分辨对流云边界与轮廓,更容易判断对流发展的阶段、强度变化与移动方向。3) 对流云从初生到产生强降水的发展特征主要可分为单独对流云过程与有对流云融合过程两类。4) 最低红外亮温低于210 K且观测到红外亮温快速下降、红外与水汽亮温同步降低至212 K以下、红外与水汽亮温差降低至2 K以下这三个特征可在副热带高压型的强降水过程中观测到,使用这三个特征来预测四川地区强降水产生时间,提高预测的准确性。The Himawari-9 satellite data and conventional observation data are used to analyze the heavy precipitation process in Sichuan in late summer and early fall of 2023, using circulation situation analysis, physical quantity field analysis and cloud image analysis. The results show that: 1) the two processes can be categorized into the South China Sea typhoon type, and the Western Pacific Subtropical High type according to the main influencing systems. 2) The high temporal and spatial resolution of the Himawari satellite cloud image can clearly distinguish the boundary and outline of the convective cloud, which makes it easier to judge the stage of convective development, intensity change and moving direction. 3) The development characteristics of convective clouds from the initial generation to the production of heavy precipitation can be divided into two categories. 4) The three features of the minimum TBB13 below 210 K and the observed rapid decrease of TBB13, the simultaneous decrease of TBB13 and TBB8 below 212 K, and the decrease of the difference between TBB13 and TBB8 below 2 K can be observed in heavy precipitation processes the Western Pacific Subtropical High type, which can be utilized to improving the accuracy of predicting the generation of heavy precipitation in Sichuan.
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.
