{"title":"Evaluation of the performance characteristics of the North American Lightning Detection Network based on recent CN Tower lightning data","authors":"S. Kazazi, A. Hussein, P. Liatos","doi":"10.1109/SIPDA.2015.7339335","DOIUrl":null,"url":null,"abstract":"Using the CN Tower lightning data acquired on September 5, 2014, the performance characteristics of the North American Lightning Detection Network (NALDN) are evaluated. The evaluation includes polarity, stroke detection efficiency, location accuracy and peak current estimation. On that day, the tower was struck with 24 flashes, based on video records. However, only nine of these flashes were found to contain return strokes based on current records and luminosity analysis of video records. These nine flashes contained a total of 30 return strokes. The NALDN detected all these return strokes, resulting in a perfect return-stroke detection efficiency. All recorded return strokes were proven to be negative, complying with NALDN prediction. Relative to the tower, for the 30 detected strokes, the NALDN was found to have a median absolute location error of 124.7m and an average absolute location error of 136.77m, each is about one-third of that determined based on a 2005 network evaluation. It was also demonstrated that the NALDN stroke location error have a substantial bias towards the north of the tower and a marked bias towards the west. The NALDN is found to overestimate the current peak measured at the tower, which is due to the higher speed of propagation within the tall tower, approximately at the speed of light in free space, in comparison with the speed of propagation of return strokes. The presented work shows that the NALDN upgrades, beyond 2005, have substantially improved the NALDN performance characteristics, especially in terms of stroke-detection efficiency and location accuracy.","PeriodicalId":296478,"journal":{"name":"2015 International Symposium on Lightning Protection (XIII SIPDA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Symposium on Lightning Protection (XIII SIPDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPDA.2015.7339335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Using the CN Tower lightning data acquired on September 5, 2014, the performance characteristics of the North American Lightning Detection Network (NALDN) are evaluated. The evaluation includes polarity, stroke detection efficiency, location accuracy and peak current estimation. On that day, the tower was struck with 24 flashes, based on video records. However, only nine of these flashes were found to contain return strokes based on current records and luminosity analysis of video records. These nine flashes contained a total of 30 return strokes. The NALDN detected all these return strokes, resulting in a perfect return-stroke detection efficiency. All recorded return strokes were proven to be negative, complying with NALDN prediction. Relative to the tower, for the 30 detected strokes, the NALDN was found to have a median absolute location error of 124.7m and an average absolute location error of 136.77m, each is about one-third of that determined based on a 2005 network evaluation. It was also demonstrated that the NALDN stroke location error have a substantial bias towards the north of the tower and a marked bias towards the west. The NALDN is found to overestimate the current peak measured at the tower, which is due to the higher speed of propagation within the tall tower, approximately at the speed of light in free space, in comparison with the speed of propagation of return strokes. The presented work shows that the NALDN upgrades, beyond 2005, have substantially improved the NALDN performance characteristics, especially in terms of stroke-detection efficiency and location accuracy.