Plateau Meteorology

Plateau Meteorology >

2017 , Vol. 36 >Issue 4: 1115 - 1126

DOI: https://doi.org/10.7522/j.issn.1000-0534.2016.00132

Comparative Analysis of SAFIR and ADTD Lightning Location Data over Beijing and Its Circumjacent Regions

  • LI Jingxiao ,
  • GUO Fengxia ,
  • HU Haibo ,
  • LI Rujian ,
  • QIAN Muhui ,
  • XIAO Wenan
Expand
  • Beijing Meteorological Disaster Prevention Center, Beijing 100089, China;Key Laboratory of Meteorological Disaster, Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China

Received date: 2016-10-08

  Online published: 2017-08-28

Fold

Abstract

The data of lightning location system is very important in scientific research and business of lightning protection. The characteristics of temporal, spatial and current distribution could be analyzed from the lightning location system and the characteristics could provide some guidance for the rational design of lightning protection project or lightning physics research.However, there are some differences in detection results between the different systems. The detection performances of the lightning location system are well known by comparing and analyzing the results of the different systems. Therefore the observation data of SAFIR system and ADTD system were compared and analyzed over Beijing and its surrounding areas in 2008. The results showed:The frequency of positive and negative CG (Cloud-to-Ground) lightning detected by SAFIR were both less than those detected by ADTD. However, the characteristics of the daily variation, the monthly variation of positive CG lightning and negative CG lightning were essentially similar respectively. The percentage of positive CG lightning frequency accounting for total lightning detected by SAFIR was higher than that detected by ADTD. The high value area of CG lightning of the SAFIR system was mainly distributed in the south, while the ADTD system's was mainly distributed in the north. The distributions of low value area of CG lightning were basically the same. The positive and negative CG lightning current intensity of SAFIR system was less than that of ADTD system. More concretely, the positive CG lightning current intensity of the former was 25 kA less than the latter, and meanwhile the negative CG lightning of the former was 10 kA less than the latter. The diurnal variation and the monthly variation characteristics of the current intensity of the two systems were basically similar. The cumulative probability distribution of negative CG lightning current by ADTD was consistent with that of the IEEE working group. The spatial distribution of current intensity of the positive CG lightning in the SAFIR system was relatively concentrated, however the ADTD system's was relatively dispersed. On the whole, the temporal distribution characteristics of the lightning detected by the two systems were similar, but the characteristics of the frequency and intensity distribution were different. The different reasons still need further study. Combining with the relevant literature, the different reasons might be related to the CG lightning waveform criterion and threshold selection, time resolution of location system itself, the installation location environment, the maintenance and calibration of the system and so on. Finally, it was preliminarily concluded that the performance of detecting CG lightning from ADTD system was relatively reliable over Beijing and its surrounding areas in 2008.

Key words： Beijing and its surr; SAFIR system; ADTD system; CG(Cloud-to-Ground); Temporal-spatial dis; Current intensity

Cite this article

LI Jingxiao , GUO Fengxia , HU Haibo , LI Rujian , QIAN Muhui , XIAO Wenan . Comparative Analysis of SAFIR and ADTD Lightning Location Data over Beijing and Its Circumjacent Regions[J]. Plateau Meteorology, 2017 , 36(4) : 1115 -1126 . DOI: 10.7522/j.issn.1000-0534.2016.00132

References

[1]Abramr J, Robert H, Jeremiah H, et al. 2006. Performance assessment of the World Wide Lightning Location Network (WWLLN), Using the Los Alamos Sferic Array (LASA) as ground truth[J]. J Atmos Ocean Technol, 23(8):1082-1092.
[2]Cummins K L, Murphy M J, Bardo E A, et al. 1998. A combined TOA/MDF technology upgrade of the US national lightning detection network[J]. J Geophys Res, 103(D8):9035-9044.
[3]Drüe C, Hauf T, Finke U, et al. 2007. Comparison of a SAFIR lightning detection network in northern Germany to the operational BLIDS network[J]. J Geophys Res, 112(D18):D18114. DOI:10. 1029/2006JD007680.
[4]Diendorfer G. 2010. LLS performance validation using lightning to towers[J]. Impulse, 1(7):1-15.
[5]Kawasaki Z I, Yamamoto K, Matsuura K, et al. 1994. SAFIR operation and evaluation of it's performance[J]. Geophys Res Lett, 21(12):1133-1136.
[6]Nag A, Mallick S, Rakov V A, et al. 2011. Evaluation of US National Lightning Detection Network performance characteristics using rocket-triggered lightning data acquired in 2004-2009[J]. J Geophys Res, 116(D2):D02123. DOI:10. 1029/2010JD014929.
[7]Pineda N, Rigo T, Bech J, et al. 2007. Lightning and precipitation relationship in summer thunderstorms:Case studies in the North Western Mediterranean region[J]. Atmos Res, 85(2):159-170.
[8]Thomas R J, Krehbiel P R, Rison W, et al. 2000. Comparison of ground-based 3-dimensional lightning mapping observations with satellite-based LIS observations in Oklahoma[J]. Geophys Res Lett, 27(12):1703-1706.
[9]Tao Shanchang, Meng Qing. 1996. Evaluation of ground stroke density distribution and lightning detection efficiency in Beijing-Tianjin-Hebei area[J]. Acta Meteor Sinca, 10(3):346-355.
[10]Wang K Y, Liao S A. 2006. Lightning, radar reflectivity, infrared brightness temperature, and surface rainfall during the 2-4 July 2004 severe convective system over Taiwan area[J]. J Geophys Res, 111(D5):D05206. DOI:10. 1029/2005JD006411.
[11]Yao Wen, Zhang Yijun, Meng Qing, et al. 2013. A comparison of the characteristics of total and cloud-to-ground lightning activities in hailstorms[J]. Acta Meteor Sinica, 27(2):282-293.
[12]Bao Bingsheng, Yang Anliang, Liu Xilin, et al. 2009. Discussion on the supporting technology of lightning current amplitude of the lightning location system[C] //Hangzhou:the 26th annual meeting of China Meteorological Society.<br/>包炳生, 杨安良, 刘西林, 等. 2009. 闪电定位系统监测的雷电流幅值佐证技术探讨[C] //杭州: 第26届中国气象学会年会.
[13]Chen Mingli, Guo Changming, Liu Xinsheng. 1991. An estimation method of detecting efficiency of LLS[J]. Plateau Meteor, 10(3):287-292.<br/>陈明理, 郭昌明, 刘欣生. 1991.一种多站雷电定位系统探测效率的估算方法[J].高原气象, 10(3):287-292.
[14]Cui Xun, Gao Jinge, Fan Rong. 2016. Comparison and analysis of lightning characteristics in Jiangsu Province based on data from WWWLN network and ADTD lightning location network[J]. Trans Atmos Sci, 39(2):270-279.<br/>崔逊, 高金阁, 樊荣. 2016. WWLLN与江苏省ADTD闪电定位系统数据的对比分析[J].大气科学学报, 39(2):270-279.
[15]Feng Minxue, Wei Hairong, Jiao Shengming, et al. 2008. A comparative analysis of the lightning strike positioning data in Nanjing[J]. Journal of Nanjing Institute of Meteorology, 31(2):151-157.<br/>冯民学, 韦海容, 焦圣明, 等. 2008.南京市闪电定位资料的对比分析[J].南京气象学院学报, 31(2):151-157.
[16]Guo Hu, Xiong Yajun, Fu Zongyu, et al. 2008. Temporal-spatial characteristics of lightning activity and lightning disaster over Beijing[J]. Meteor Mon, 34(1):12-17.<br/>郭虎, 熊亚军, 付宗钰, 等. 2008.北京市自然雷电与雷电灾害的时空分布[J].气象, 34(1):12-17.
[17]Li Jiaqi, Shen Shuanghe, Liao Ruijin, et al. 2010. Analysis of the lightning current amplitude change characteristics in Chongqing area[J]. High Voltage Engineering, 36(12):2918-2923.<br/>李家启, 申双和, 廖瑞金, 等. 2010.重庆地区雷电流幅值变化特征分析[J].高电压技术, 36(12):2918-2923.
[18]Li Jingxiao, Song Haiyan, Xiao Wenan, et al. 2013a. Temporal-spatical characteristics of lightning over Beijing and its circumjacent regions[J]. Trans Atmos Sci, 36(2):235-245.<br/>李京校, 宋海岩, 肖稳安, 等. 2013a.北京及其周边地区闪电活动时空特征[J].大气科学学报, 36(2):235-245.
[19]Li Jingxiao, Guo Fengxia, Shen Yonghai, et al. 2013b. Analysis of CG lightning parameters characteristics based on SAFIR data in Beijing and its circumjacent regions[J]. Plateau Meteorology, 32 (5):1450-1459. DOI:10. 7522/j. issn. 1000-0534. 2012. 00135.<br/>李京校, 郭凤霞, 沈永海, 等. 2013b.利用SAFIR资料对北京及其周边地区的地闪参数特征分析[J].高原气象, 32 (5):1450-1459.
[20]Liu Fangxing, Li Xueyong, Cao Zhidong, et al. 1997. The application &amp; analysis of data of lightning location system in Shandong Province[J]. Shandong Electric Power, (4):1-8.<br/>刘方兴, 李学勇, 曹志东, 等. 1997.山东雷电监测定位系统数据分析与应用[J].山东电力技术, (4):1-8.
[21]Liu Yan, Wang Zhenhui, Kang Fengqin, et al. 2009. Characteristic of cloud-to-ground lightning flashes in Zhejiang and Gansu areas[J]. Plateau Meteor, 28(3):669-674.<br/>刘岩, 王振会, 康凤琴, 等. 2009.浙江和甘肃两地区地闪特征的初步对比分析[J].高原气象, 28(3):669-674.
[22]Liu Yan, Li Zheng, Cheng Xiangyang, et al. 2015. Comparative analysis of LD-Ⅱ and ADTD lightning location data[J]. Journal of Nanjing University of Information Science &amp; Technology:Natural Science Edition, 7(4):380-384.<br/>刘岩, 李征, 程向阳, 等. 2015. LD-Ⅱ和ADTD型闪电定位资料的对比分析[J].南京信息工程大学学报(自然科学版), 7(4):380-384.
[23]Song Xiaoshuang, Zheng Dong, Zhang Yijun, et al. 2014. Characteristic of cloud-to-ground lightning in Shanghai and it circumjacent regions and land-sea difference[J]. Meteor Sci Technol, 42(1):164-172.<br/>宋晓爽, 郑栋, 张义军, 等. 2014.上海及周边地区地闪活动特征及海陆差异[J].气象科技, 42(1):164-172.
[24]Tian Fang, Xiao Wenan, Feng Minxue, et al. 2008. Amendment and analysis of observation data for lightning positioning devices[J]. East China Electric Power, 36(6):38-42.<br/>田芳, 肖稳安, 冯民学, 等. 2008.闪电定位仪观测结果的修订分析[J].华东电力, 36(6):38-42.
[25]Tao Zuyu, Zhao Xinyi. 1993. Climatological analysis of lightning in Beijing-Tianjin-Hebei district[J]. Acta Meteor Sinica, 51(3):325-332.<br/>陶祖钰, 赵昕奕. 1993.京津冀地区闪电的气候分析[J].气象学报, 51(3):325-332.
[26]Wang Juan, Chen Yun. 2015. Analysis of the 2009-2012 lightning distribution characteristics in China[J]. Meteor Mon, 41(2):160-170.<br/>王娟, 谌芸. 2015. 2009-2012年中国闪电分布特征分析[J].气象, 41(2):160-170.
[27]Wang Yu, Qie Xiushu, Wang Dongfang, et al. 2015. Beijing Lightning Network (BLNET):Configuration and preliminary results of lightning location[J]. Chinese J Atmos Sci, 39(3):571-582.<br/>王宇, 郄秀书, 王东方, 等. 2015.北京闪电综合探测网(BLNET):网络构成与初步定位结果[J].大气科学, 39(3):571-582.
[28]Yu Ji, Yang Zhongjiang, Chen Lüwen, et al. 2015. Evaluation of detection efficiency and accuracy of lightning location system of Guangdong-Hongkong-Macau[J]. Plateau Meteor, 34(3):863-869. DOI:10. 7522/j. issn. 1000 0534. 2013. 00165.<br/>禹继, 杨仲江, 陈绿文, 等. 2015.粤港澳闪电定位系统探测效率及精确度评估[J].高原气象, 34(3):863-869.
[29]Zhang Tengfei, Zhang Jie, Yin Liyuan. 2013. Analyses on lightning feature and formation condition for a thunderstorm process in Yunnan[J]. Plateau Meteor, 32(1):268-277. DOI:10. 7522/j. issn. 1000-0534. 2012. 00026.<br/>张腾飞, 张杰, 尹丽云. 2013.云南一次秋季雷暴过程的闪电特征及形成条件分析[J].高原气象, 32(1):268-277.
[30]Zhang Yijun, Meng Qing, Ma Ming, et al. 2006. Development of lightning detection technique with application of lightning data[J]. J Appl Meteor Sci, 17(5):611-620.<br/>张义军, 孟青, 马明, 等. 2006.闪电探测技术发展和资料应用[J].应用气象学报, 17(5):611-620.
[31]Zhao Wei, Jiang Yujun, Tong Hangwei, et al. 2015. Comparative analysis of the cloud-to-ground lightning data between two lightning location systems[J]. J Appl Meteor Sci, 26(3):354-363.<br/>赵伟, 姜瑜君, 童杭伟, 等. 2015.浙江省两套闪电定位系统地闪数据对比[J].应用气象学报, 26(3):354-363.
Options
Outlines

/

〈 〉

The system is designed and developed by Beijing magtec Technology Development Co., Ltd. with technical support: support@magtech.com.cn