大气电场仪雷电预警质量评价研究

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Abstract In order to investigate the quality of lightning warning using atmospheric electric field instruments,monitoring and lightning location data from three stations in Tongling No.5 Middle School,Maanshan Yintang Agricultural Demonstration Park,and Maanshan Cihu Gate were selected.The lightning frequency,lightning warning signals,and warning quality at different vertical heights within 5 km and 10 km ranges of the three stations were statistically analyzed.The results showed that the atmospheric electric field instrument effectively alerted 60.3％ of lightning within a 10 km range,with an average hit rate of 60.0％,an average false alarm rate of 17.5％,and an average T_S score of 0.53.Effective warnings were issued for 76.2％ of lightning within a 5 km range,with an average hit rate of 64.4％,an average false alarm rate of 34.1％,and an average T_S score of 0.48.The atmospheric electric field meter has a higher warning accuracy at stations with higher vertical heights,but the average absolute electric field value is lower.The research results provide a theoretical reference for testing the quality of lightning warning using atmospheric electric field instruments.

Key words： atmospheric electric field meter lightning warning quality evaluation

Received: 16 April 2024

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	Articles by authors
	Yang Chunming
	Chen Xiaowei

Cite this article:

Yang Chunming,Chen Xiaowei. Research on quality evaluation of lightning warning of atmospheric electric field meter[J]. Meteorological Hydrological and Marine Instrument, 2025, 42(3): 37-40.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2025/V42/I3/37

[1]	张弛,吴安坤,李迪,等.遵义市雷电灾害致灾因子危险性区划研究[J].中低纬山地气象,2023,47(2):100-104.
[2]	刘佼,肖稳安,陈红兵.全国雷电灾害分析及雷灾经济损失预测[J].气象与环境科学,2010,33(4):21-26.
[3]	殷启元,郭泽勇,张义军,等.1995-2018年广东地区雷灾伤亡特征[J].热带气象学报,2021,37(3):512-520.
[4]	王鑫森,马中元,陈鲍发,等.江西致灾强雷电的特征分析[J].气象水文海洋仪器,2022,39(2):65-67.
[5]	刘雪涛,谢屹然,许迎杰,等.云南闪电活动的时空分布特征[J].干旱气象,2019,37(5):729-735.
[6]	朱彪,林彬彬,于晨,等.不同类型大气电场雷电预警效果研究[J].气象与环境科学,2022,45(5):49-54.
[7]	崔逊,高金阁,樊荣.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,2016,39(2):270-279.
[8]	张晓辉,高艳春,易永力,等.承德市冰雹时空分布特征及雷达预警指标分析[J].沙漠与绿洲气象,2022,16(2):16-22.
[9]	许洪泽,周梅.基于假设性检验的地面大气电场预警阀值确定方法[J].气象与减灾研究,2017,40(1):56-63.
[10]	王志超,庞文静,梁丽,等.ADTD闪电定位网在北京地区定位效率的自评价[J].气象科技,2018,46(4):638-643.
[11]	王荣珠,余建华,夏雪,等.南昌地区大气电场的阈值确定[J].江西科学,2018,36(6):991-994,1016.
[12]	秦薇,张其林,姜苏,等.基于大气电场资料的雷电临近预警研究[J].南京信息工程大学学报,2016,8(3):247-251.
[13]	李卫平,许伟,任照环,等.地面大气电场仪在一次雷暴天气过程中的预警应用分析[J].农业灾害研究,2022,12(3):106-109,112.
[14]	陈晓东,孙金华.大气电场仪场地因子修订及EMD分解分析[J].电子测量技术,2016,39(12):93-97.
[15]	刘畅,张婧雯,靳小兵,等.成都地区不同天气条件下大气电场特征研究[J].高原山地气象研究,2016,36(2):88-91.
[16]	许洪泽,周梅.ADTD异常对闪电定位资料影响分析[J].气象科技进展,2018,8(1):33-37.