Recognition of Organizational Morphology of Mesoscale Convective Systems Using Himawari-8 Observations  

作　　者：SHOU Yi-xuan ZHANG Su-zhao LU Feng 寿亦萱;张肃诏;陆风(Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center(National Center for Space Weather),China Meteorological Administration,Beijing 100081 China;Innovation Center for FengYun Meteorological Satellite(FYSIC),Beijing 100081 China;Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,Yinchuan 750002 China;Ningxia Key Laboratory of Meteorological Disaster Prevention and Mitigation,Yinchuan 750002 China)

机构地区：[1]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center(National Center for Space Weather),China Meteorological Administration,Beijing 100081 China [2]Innovation Center for FengYun Meteorological Satellite(FYSIC),Beijing 100081 China [3]Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,Yinchuan 750002 China [4]Ningxia Key Laboratory of Meteorological Disaster Prevention and Mitigation,Yinchuan 750002 China

出　　处：《Journal of Tropical Meteorology》2024年第3期289-305,共17页热带气象学报（英文版）

基　　金：National Natural Science Foundation of China(41965001)。

摘　　要：The onset,evolution,and propagation processes of convective cells can be reflected by the organizational morphology of mesoscale convective systems(MCSs),which are key factors in determining the potential for heavy precipitation.This paper proposed a method for objectively classifying and segmenting MCSs using geosynchronous satellite observations.Validation of the product relative to the classification in radar composite reflectivity imagery indicates that the algorithm offers skill for discriminating between convective and stratiform areas and matched 65%of convective area identifications in radar imagery with a false alarm rate of 39%and an accuracy of 94%.A quantitative evaluation of the similarity between the structures of 50 MCSs randomly obtained from satellite and radar observations shows that the similarity was as high as 60%.For further testing,the organizational modes of the MCS that caused the heavy precipitation in Northwest China on August 21,2016(hereinafter known as the“0821”rainstorm)were identified.It was found that the MCS,accompanied by the“0821”rainstorm,successively exhibited modes of the isolated cell,squall line with parallel stratiform(PS)rain,and non-linear system during its life cycle.Among them,the PS mode might have played a key role in causing this flooding.These findings are in line with previous studies.

关 键 词：mesoscale convective system SATELLITE organizational morphology extremely heavy precipitation 

分 类 号：P405[天文地球—大气科学及气象学]