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2010—2018年辽宁省雷电流幅值特征分析
引用本文:程攀,曾杨,程雷,庞文静,肖光梁,荣先远.2010—2018年辽宁省雷电流幅值特征分析[J].气象与环境学报,2021,37(4):107-113.
作者姓名:程攀  曾杨  程雷  庞文静  肖光梁  荣先远
作者单位:1. 成都信息工程大学大气科学学院, 四川 成都 6102252. 中国气象局气象探测中心, 北京 1000813. 辽宁省气象灾害监测预警中心, 辽宁 沈阳 1101664. 江西省大气探测技术中心, 江西 南昌 3300965. 丹东市气象局, 辽宁 丹东 1180006. 安徽省舒城县气象局, 安徽 舒城 231300
基金项目:中国气象局气象探测中心地面智能气象观测创新团队;中国气象局小型业务项目(GXPG2013063_KY);辽宁省气象局科研课题(201902);辽宁省气象局气象灾害综合风险普查项目(20201)
摘    要:基于辽宁省2010-2018年闪电定位(ADTD)资料,运用统计学方法分析了雷电流幅值时间变化特征;运用规程计算公式和IEEE推荐公式分别计算了雷电流幅值累积概率密度,并和实际地闪雷电流幅值累积概率密度曲线做了对比分析;运用最小二乘法拟合了IEEE推荐公式。结果表明:2010-2018年辽宁省地闪以负闪为主,占比高达89%,而负地闪雷电流幅值主要集中于-50~-20 kA;地闪频次在2011-2013年逐年升高,而后逐年减少,总地闪和负地闪的平均雷电流幅值自2010-2013年逐年降低,而后逐年升高;地闪主要发生在汛期的7-8月,平均雷电流幅值在冬季最高,且日变化平稳;雷电流幅值为20-50 kA的总地闪和负地闪累积概率密度曲线下降最快,而雷电流幅值在20 kA左右的累积概率密度曲线开始下降,总体下降速度较慢;通过对IEEE推荐公式进行拟合,拟合后的雷电流幅值累积概率密度分布曲线更加接近实际。

关 键 词:闪电定位  雷电流幅值  概率密度  最小二乘拟合  
收稿时间:2020-11-28

Analysis of characteristics of lightning current amplitude in Liaoning province from 2010 to 2018
Pan CHENG,Yang ZENG,Lei CHENG,Wen-jing PANG,Guang-liang XIAO,Xian-yuan RONG.Analysis of characteristics of lightning current amplitude in Liaoning province from 2010 to 2018[J].Journal of Meteorology and Environment,2021,37(4):107-113.
Authors:Pan CHENG  Yang ZENG  Lei CHENG  Wen-jing PANG  Guang-liang XIAO  Xian-yuan RONG
Institution:1. Chengdu University of Information Technology, Chengdu 610225, China2. CMA Meteorological Observation Center, Beijing 100081, China3. Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166, China4. Jiangxi Provincial Atmospheric Observation Technology Centre, Nanchang 330096, China5. Dandong Meteorological Service, Dandong 118000, China6. Shucheng Meteorological Bureau of Anhui Province, Shucheng 231300, China
Abstract:The temporal variation characteristics of lightning current amplitude were analyzed using a statistical method based on the lightning data (ADTD) from 2010 to 2018 in Liaoning province. The cumulative probability densities of lightning current amplitude, calculated using the specification calculation formula and the formula recommended by IEEE, were compared with the real data curve to analyze the error. The formula recommended by IEEE was fitted with the least square method. The results show that the major CG lightning with a proportion of 89% are negative in Liaoning province from 2010 to 2018, and their current amplitudes are mainly concentrated between -50~-20 kA. The frequency of CG lightning increases year by year from 2011 to 2013 and then decreases year by year. The average lightning current amplitudes of total and negative CG lightning decreases from 2010 to 2013 year by year and then increases year by year. The CG lightning mainly occurs in the flood season from July to August, and the average lightning current amplitude is the highest in winter with a stable diurnal variation. The probability density curves of the total and negative CG lightning with the lightning current amplitude between 20-50 kA experience the fastest decrease, while those whose lightning current amplitudes are about 20 kA begin to decline slowly. The cumulative probability density curves of lightning current amplitude fitted with the formula recommended by IEEE are closer to the actual situation now than before.
Keywords:Lightning location  Lightning current amplitude  Probability density  Least-squares fitting  
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