The Characteristics of Ground Flashes in Beijing and Lanzhou Regions

Qie Xiushu; Guo Changming; Liu Xinsheng

doi:10.1007/BF02919269

Impact Factor: 6.5

Volume 8 Issue 4

Oct. 1991

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1991 > 8(4): 471-478

The Characteristics of Ground Flashes in Beijing and Lanzhou Regions

1.
Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000,Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000,Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000

doi: 10.1007/BF02919269

Abstract
References
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Abstract:
Over twenty thousand lightning location data obtained by using Lightning Location System (LLS) from Lanzhou and Beijing regions have been analysed to ascertain the characteristics of ground flashes in both regions. The strength of positive flashes is 5 times higher in Lanzhou than in Beijing. The strength of positive flashes is 3 times and 2.2 times as large as negative flashes in Beijing and in Lanzhou respectively. It has been found that the strength of positive and negative flashes is submitted to the normal distribution, and is independent of the characteristics of thunderstorm. So the lightning, strength obtained by DF may be used to forecast the coming of thunderstorm. Although the stroke number in both regions decreases as exponent regulation, the maximum number of return stroke for one lightning in Beijing is more than that in Lanzhou. The peak flash rate occurs in late afternoon for both regions, but the maximum and minimum flash rate appeared an hour earlier in Beijing than in Lanzhou.The relationship between DF display and lightning radiation electric field, discharge current is obtained.
References

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[2]	MIAO Shiguang, LI Pingyang, WANG Xiaoyun, 2009: Building Morphological Characteristics and Their Effect on the Wind in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1115-1124. doi: 10.1007/s00376-009-7223-7
[3]	Pucai WANG, N. F. ELANSKY, Yu. M. TIMOFEEV, Gengchen WANG, G. S. GOLITSYN, M. V. MAKAROVA, V. S. RAKITIN, Yu. SHTABKIN, A. I. SKOROKHOD, E. I. GRECHKO, E.V. FOKEEVA, A. N. SAFRONOV, Liang RAN, Ting WANG, 2018: Long-Term Trends of Carbon Monoxide Total Columnar Amount in Urban Areas and Background Regions: Ground- and Satellite-based Spectroscopic Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 785-795. doi: 10.1007/s00376-017-6327-8
[4]	HUO Juan, ZHANG Wenxing, ZENG Xiaoxia, Lü Daren, LIU Yi, 2013: Examination of the Quality of GOSAT/CAI Cloud Flag Data over Beijing Using Ground-based Cloud Data, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1526-1534. doi: 10.1007/s00376-013-2267-0
[5]	WANG Linlin, GAO Zhiqiu, MIAO Shiguang, GUO Xiaofeng, SUN Ting, Maofeng LIU, Dan LI, 2015: Contrasting Characteristics of the Surface Energy Balance between the Urban and Rural Areas of Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 505-514. doi: 10.1007/s00376-014-3222-4
[6]	YU Jianhua, CHEN Tian, Benjamin GUINOT, Helene CACHIER, YU Tong, LIU Wenqing, WANG Xin, 2006: Characteristics of Carbonaceous Particles in Beijing During Winter and Summer 2003, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 468-473. doi: 10.1007/s00376-006-0468-5
[7]	Boru MAI, Xuejiao DENG, Fang ZHANG, Hao HE, Tian LUAN, Fei LI, Xia LIU, 2020: Background Characteristics of Atmospheric CO₂ and the Potential Source Regions in the Pearl River Delta Region of China, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 557-568. doi: 10.1007/s00376-020-9238-z
[8]	Gaili WANG, Ran LI, Jisong SUN, Xiangde XU, Renran ZHOU, Liping LIU, 2022: Comparative Analysis of the Characteristics of Rainy Season Raindrop Size Distributions in Two Typical Regions of the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1062-1078. doi: 10.1007/s00376-021-1135-6
[9]	Xiaotong ZHU, Qingqing LI, Jinhua YU, Dan WU, Kai YAO, 2018: Geometric Characteristics of Tropical Cyclone Eyes before Landfall in South China Based on Ground-Based Radar Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 592-603. doi: 10.1007/s00376-017-7144-9
[10]	Bo LIU, Juan HUO, Daren LYU, Xin WANG, 2021: Assessment of FY-4A and Himawari-8 Cloud Top Height Retrieval through Comparison with Ground-Based Millimeter Radar at Sites in Tibet and Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1334-1350. doi: 10.1007/s00376-021-0337-2
[11]	Qiuyan DU, Chun ZHAO, Jiawang FENG, Zining YANG, Jiamin XU, Jun GU, Mingshuai ZHANG, Mingyue XU, Shengfu LIN, 2024: Seasonal Characteristics of Forecasting Uncertainties in Surface PM_2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 801-816. doi: 10.1007/s00376-023-3060-3
[12]	ZHANG Qiang, LI Hongyu, 2011: A Study of the Relationship between Air Pollutants and Inversion in the ABL over the City of Lanzhou, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 879-886. doi: 10.1007/s00376-010-0079-z
[13]	ZHANG Wu, HU Bo, CHEN Changhe, DU Ping, ZHANG Lei, FENG Guanghong, 2004: Scattering Properties of Atmospheric Aerosols over Lanzhou City and Applications Using an Integrating Nephelometer, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 848-856. doi: 10.1007/BF02915587
[14]	AN Xingqin, ZUO Hongchao, CHEN Lijuan, 2007: Atmospheric Environmental Capacity of SO2 in Winter over Lanzhou in China: A Case Study, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 688-699. doi: 10.1007/s00376-007-0688-3
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Manuscript History

Manuscript received: 10 October 1991

Manuscript revised: 10 October 1991

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

The Characteristics of Ground Flashes in Beijing and Lanzhou Regions

1. Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000,Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000,Lanzhou Institute of Plateau Atmospheric Physics, Chinese Academy of Sciences, Lanzhou 730000

Manuscript received: 1991-10-10
Manuscript revised: 1991-10-10

Abstract: Over twenty thousand lightning location data obtained by using Lightning Location System (LLS) from Lanzhou and Beijing regions have been analysed to ascertain the characteristics of ground flashes in both regions. The strength of positive flashes is 5 times higher in Lanzhou than in Beijing. The strength of positive flashes is 3 times and 2.2 times as large as negative flashes in Beijing and in Lanzhou respectively. It has been found that the strength of positive and negative flashes is submitted to the normal distribution, and is independent of the characteristics of thunderstorm. So the lightning, strength obtained by DF may be used to forecast the coming of thunderstorm. Although the stroke number in both regions decreases as exponent regulation, the maximum number of return stroke for one lightning in Beijing is more than that in Lanzhou. The peak flash rate occurs in late afternoon for both regions, but the maximum and minimum flash rate appeared an hour earlier in Beijing than in Lanzhou.The relationship between DF display and lightning radiation electric field, discharge current is obtained.