Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment
The Asia-Pacific Lightning Location Network (APLLN) is a lightning location system consisting of a series of very low-frequency signal detection sites. Since 2018, 16 detection sites have been deployed with an average baseline longer than 1000 km. The detection site used a trigger sampling method to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/10/1537 |
| _version_ | 1797568223288229888 |
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| author | Jiaquan Wang Qiming Ma Xiao Zhou Fang Xiao Shangbo Yuan Sheng Chang Jin He Hao Wang Qijun Huang |
| author_facet | Jiaquan Wang Qiming Ma Xiao Zhou Fang Xiao Shangbo Yuan Sheng Chang Jin He Hao Wang Qijun Huang |
| author_sort | Jiaquan Wang |
| collection | DOAJ |
| description | The Asia-Pacific Lightning Location Network (APLLN) is a lightning location system consisting of a series of very low-frequency signal detection sites. Since 2018, 16 detection sites have been deployed with an average baseline longer than 1000 km. The detection site used a trigger sampling method to record the lightning signal with a duration of 2 ms and calculates the lightning arrival time based on digital filtering and the Hilbert envelope method. APLLN used a time difference location algorithm and improved Levenberg–Marquardt non-linear least squares iterative algorithm to calculate and optimize the lightning location results. The analysis results of a strong thunderstorm process show that the average detection efficiency of APLLN was 55.34% for intracloud (IC) strokes, 63.55% for cloud-to-ground (CG) strokes and 61.83% for all strokes (IC + CG). The average location error of APLLN for this thunderstorm is 5–10 km. |
| first_indexed | 2024-03-10T19:53:24Z |
| format | Article |
| id | doaj.art-427588e25cb34120802edf0b324cbe10 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:53:24Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-427588e25cb34120802edf0b324cbe102023-11-20T00:09:46ZengMDPI AGRemote Sensing2072-42922020-05-011210153710.3390/rs12101537Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance AssessmentJiaquan Wang0Qiming Ma1Xiao Zhou2Fang Xiao3Shangbo Yuan4Sheng Chang5Jin He6Hao Wang7Qijun Huang8School of Physics and Technology, Wuhan University, Wuhan 430072, ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, ChinaSchool of Physics and Technology, Wuhan University, Wuhan 430072, ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, ChinaSchool of Physics and Technology, Wuhan University, Wuhan 430072, ChinaSchool of Physics and Technology, Wuhan University, Wuhan 430072, ChinaSchool of Physics and Technology, Wuhan University, Wuhan 430072, ChinaSchool of Physics and Technology, Wuhan University, Wuhan 430072, ChinaThe Asia-Pacific Lightning Location Network (APLLN) is a lightning location system consisting of a series of very low-frequency signal detection sites. Since 2018, 16 detection sites have been deployed with an average baseline longer than 1000 km. The detection site used a trigger sampling method to record the lightning signal with a duration of 2 ms and calculates the lightning arrival time based on digital filtering and the Hilbert envelope method. APLLN used a time difference location algorithm and improved Levenberg–Marquardt non-linear least squares iterative algorithm to calculate and optimize the lightning location results. The analysis results of a strong thunderstorm process show that the average detection efficiency of APLLN was 55.34% for intracloud (IC) strokes, 63.55% for cloud-to-ground (CG) strokes and 61.83% for all strokes (IC + CG). The average location error of APLLN for this thunderstorm is 5–10 km.https://www.mdpi.com/2072-4292/12/10/1537APLLNVLF lightning locationTime of arrivalHilbert envelopeLocation accuracyDetection efficiency |
| spellingShingle | Jiaquan Wang Qiming Ma Xiao Zhou Fang Xiao Shangbo Yuan Sheng Chang Jin He Hao Wang Qijun Huang Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment Remote Sensing APLLN VLF lightning location Time of arrival Hilbert envelope Location accuracy Detection efficiency |
| title | Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment |
| title_full | Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment |
| title_fullStr | Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment |
| title_full_unstemmed | Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment |
| title_short | Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment |
| title_sort | asia pacific lightning location network aplln and preliminary performance assessment |
| topic | APLLN VLF lightning location Time of arrival Hilbert envelope Location accuracy Detection efficiency |
| url | https://www.mdpi.com/2072-4292/12/10/1537 |
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