首页|Characteristics of Lightning Activity in Southeast China and its Relation to the Atmospheric Background

Characteristics of Lightning Activity in Southeast China and its Relation to the Atmospheric Background

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  • 万方数据
  • 维普
Based on the lightning observation data from the Fengyun-4A(FY-4A)Lightning Mapping Imager(FY-4A/LMI)and the Lightning Imaging Sensor(LIS)on the International Space Station(ISS),we extract the"event"type data as the lightning detection results.These observations are then compared with the cloud-to-ground(CG)lightning observation data from the China Meteorological Administration.This study focuses on the characteristics of lightning activity in Southeast China,primarily in Jiangxi Province and its adjacent areas,from April to September,2017-2022.In addition,with the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis data,we further delved into the potential factors influencing the distribution and variations in lightning activity and their primary related factors.Our findings indicate that the lightning frequency and density of the FY-4A/LMI,ISS-LIS and CG data are higher in southern and central Jiangxi,central Fujian Province,and western and central Guangdong Province,while they tend to be lower in eastern Hunan Province.In general,the high-value areas of lightning density for the FY-4A/LMI are located in inland mountainous areas.The lower the latitude is,the higher the CG lightning density is.High-value areas of the CG lightning density are more likely to be located in eastern Fujian and southeastern Zhejiang Province.However,the high-value areas of lightning density for the ISS-LIS are more dispersed,with a scattered distribution in inland mountainous areas and along the coast of eastern Fujian.Thus,the mountainous terrain is closely related to the high-value areas of the lightning density.The locations of the high-value areas of the lightning density for the FY-4A/LMI correspond well with those for the CG observations,and the seasonal variations are also consistent.In contrast,the distribution of the high-value areas of the lightning density for the ISS-LIS is more dispersed.The positions of the peak frequency of the FY-4A/LMI lightning and CG lightning contrast with local altitudes,primarily located at lower altitudes or near mountainsides.K-index and convective available potential energy(CAPE)can better reflect the local boundary layer conditions,where the lightning density is higher and lightning seasonal variations are apparent.There are strong correlations in the annual variations between the dew-point temperature(Td)and CG lightning frequency,and the monthly variations of the dew-point tem-perature and CAPE are also strongly correlated with monthly variations of CG lightning,while they are weakly correlated with the lightning frequency for the FY-4A/LMI and ISS-LIS.This result reflects that the CAPE shows a remarkable effect on the CG lightning frequency during seasonal transitions.

lightningsatellite and ground detectionsatmospheric backgroundSoutheast China

支树林、朱杰、刘岩、毛梦妮

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Jiangxi Meteorological Observatory,Nanchang 330096 China

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

Shanghai Typhoon Institute,China Meteorological Administration,Shanghai 200030 China

Innovation Center for FengYun Meteorological Satellite(FYSIC),Beijing 100081 China

Key Laboratory of Transportation Meteorology of China Meteorological Administration,Nanjing Joint Institute for Atmospheric Sciences,Nanjing 210041 China

Key Laboratory of Meteorological Disaster(KLME),Ministry of Education&Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science&Technology,Nanjing 210041 China

Jiujiang Observatory,Jiujiang,Jiangxi 332000 China

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国家自然科学基金国家自然科学基金Open Research Fund of Institute of Meteorological Technology Innovation,NanjingJoint Research Project of Typhoon Research,Shanghai Typhoon Institute,China Meteorological AdministrationInnovation Development Project of China Meteorological AdministrationOpen Project of KLME&CIC-FEMDJiangxi MDIA-ASI Fund

4217501442205137BJG202202TFJJ202209CXFZ2023P001KLME202311

2024

热带气象学报(英文版)
中国气象局广州热带海洋气象研究所

热带气象学报(英文版)

影响因子：0.169
ISSN：1006-8775
年,卷(期)：2024.30(1)
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