Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters

Intense convection is often accompanied by high-frequency lightning and is highly prone to producing heavy rainfall, strong winds, hail, and tornadoes, frequently resulting in significant damage and loss of life. It is necessary to understand the mechanisms and meteorological conditions of intense c...

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Main Authors: Ruiyang Ma, Dong Zheng, Yijun Zhang, Wen Yao, Wenjuan Zhang, Biao Zhu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/24/4673
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author Ruiyang Ma
Dong Zheng
Yijun Zhang
Wen Yao
Wenjuan Zhang
Biao Zhu
author_facet Ruiyang Ma
Dong Zheng
Yijun Zhang
Wen Yao
Wenjuan Zhang
Biao Zhu
author_sort Ruiyang Ma
collection DOAJ
description Intense convection is often accompanied by high-frequency lightning and is highly prone to producing heavy rainfall, strong winds, hail, and tornadoes, frequently resulting in significant damage and loss of life. It is necessary to understand the mechanisms and meteorological conditions of intense convection. This study utilizes the Thunderstorm Feature Dataset from 2010–2018 to analyze the characteristics of thunderstorms with extreme lightning activity (TELAs), defined as thunderstorms whose lightning frequency ranks in the top 1%. Four regions with relatively high thunderstorm activity were selected for analysis: Northeast China (NEC), North China (NC), South China (SC), and the Tibetan Plateau (TP). In NEC, TELAs primarily occur just west of upper-level westerly troughs (UWT), including cold vortices. In NC, TELAs are mainly associated with UWT and subtropical highs (STH). In SC, TELAs are related to frontal systems, easterly waves, tropical cyclones, and STH. In TP, TELAs are generated by TP vortices. Before the TELA process, vertically integrated moisture divergence (VIMD) and convective available potential energy (CAPE) show the most notable anomalies. Except for the TP, TELAs are typically located between centers of anomalies with positive and negative geopotential height (500 hPa) and near centers of anomalies with positive CAPE and negative VIMD, accompanied by notable increases in surface temperature and wind speed. These findings offer a valuable reference for the early warning and forecasting of intense convection.
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spelling doaj-art-dfee9713403142e79d8b2cad8cc18ab22025-08-20T02:56:55ZengMDPI AGRemote Sensing2072-42922024-12-011624467310.3390/rs16244673Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective ParametersRuiyang Ma0Dong Zheng1Yijun Zhang2Wen Yao3Wenjuan Zhang4Biao Zhu5Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, ChinaState Key Laboratory of Severe Weather & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaInstitute of Atmospheric Sciences, Fudan University, Shanghai 200433, ChinaState Key Laboratory of Severe Weather & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaMeteorological Disaster Prevention Technology Center of Fujian Province, Fuzhou 350007, ChinaIntense convection is often accompanied by high-frequency lightning and is highly prone to producing heavy rainfall, strong winds, hail, and tornadoes, frequently resulting in significant damage and loss of life. It is necessary to understand the mechanisms and meteorological conditions of intense convection. This study utilizes the Thunderstorm Feature Dataset from 2010–2018 to analyze the characteristics of thunderstorms with extreme lightning activity (TELAs), defined as thunderstorms whose lightning frequency ranks in the top 1%. Four regions with relatively high thunderstorm activity were selected for analysis: Northeast China (NEC), North China (NC), South China (SC), and the Tibetan Plateau (TP). In NEC, TELAs primarily occur just west of upper-level westerly troughs (UWT), including cold vortices. In NC, TELAs are mainly associated with UWT and subtropical highs (STH). In SC, TELAs are related to frontal systems, easterly waves, tropical cyclones, and STH. In TP, TELAs are generated by TP vortices. Before the TELA process, vertically integrated moisture divergence (VIMD) and convective available potential energy (CAPE) show the most notable anomalies. Except for the TP, TELAs are typically located between centers of anomalies with positive and negative geopotential height (500 hPa) and near centers of anomalies with positive CAPE and negative VIMD, accompanied by notable increases in surface temperature and wind speed. These findings offer a valuable reference for the early warning and forecasting of intense convection.https://www.mdpi.com/2072-4292/16/24/4673extreme lightning activitythunderstormsynoptic patternsconvective parameters
spellingShingle Ruiyang Ma
Dong Zheng
Yijun Zhang
Wen Yao
Wenjuan Zhang
Biao Zhu
Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
Remote Sensing
extreme lightning activity
thunderstorm
synoptic patterns
convective parameters
title Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
title_full Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
title_fullStr Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
title_full_unstemmed Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
title_short Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters
title_sort thunderstorms with extreme lightning activity in china climatology synoptic patterns and convective parameters
topic extreme lightning activity
thunderstorm
synoptic patterns
convective parameters
url https://www.mdpi.com/2072-4292/16/24/4673
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