Lightning activity during convective cell mergers in a squall line and corresponding dynamical and thermodynamical characteristics-Reference-Cited by-同舟云学术

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Lightning activity during convective cell mergers in a squall line and corresponding dynamical and thermodynamical characteristics

Published:2021-07 Issue: Volume:256 Page:105555
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Lu Jingyu,Qie Xiushu,Jiang Rubin,Xiao Xian,Liu Dongxia,Li Jinliang,Yuan Shanfeng,Chen Zhixiong,Wang Dongfang,Tian Ye,Yi Xiaoyuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference45 articles.

1. The Thunderstorm: Report of the Thunderstorm Project;Byers,1949

2. The relationship between precipitation and lightning in tropical island convection: a C-band polarimetric radar study;Carey;Mon. Weather Rev.,2000

3. Electrical evolution of a rapidly developing MCS during its vigorous vertical growth phase;Chen;Atmos. Res.,2020

4. The influence of merging and individual storm splitting on mesoscale convective system formation;Ćurić;Atmos. Res.,2009

5. Observations of mergers between squall lines and isolated supercell thunderstorms;French;Weather Forecast.,2012

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1. Lightning characteristics and associated microphysical parameters in a strong thunderstorm with an extreme gale;Natural Hazards;2024-06-14

2. Lightning activity and microphysical structure characteristics during the convective cell mergers in an extreme mesoscale convective system;Atmospheric Research;2024-05

3. The role of the cold pool in a mountain-to-plain and plain-to-mountain squall line case in the south of the Yangtze River in China;Atmospheric Research;2024-04

4. Convective Properties and Lightning Activity in Different Categories of Thunderstorms over the Beijing Area during Five Warm Seasons;Remote Sensing;2024-01-24

5. Estimation of Lightning Activity of Squall Lines by Different Lightning Parameterization Schemes in the Weather Research and Forecasting Model;Remote Sensing;2023-10-23

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