A study of National Lightning Detection Network responses to natural lightning based on ground truth data acquired at LOG with emphasis on cloud discharge activity. Issue 24 (29th December 2016)
- Record Type:
- Journal Article
- Title:
- A study of National Lightning Detection Network responses to natural lightning based on ground truth data acquired at LOG with emphasis on cloud discharge activity. Issue 24 (29th December 2016)
- Main Title:
- A study of National Lightning Detection Network responses to natural lightning based on ground truth data acquired at LOG with emphasis on cloud discharge activity
- Authors:
- Zhu, Y.
Rakov, V. A.
Tran, M. D.
Nag, A. - Abstract:
- Abstract: The U.S. National Lightning Detection Network (NLDN) detection efficiency (DE) and classification accuracy (CA) for cloud discharge (IC) activity (identified here by a sequence of non‐return‐stroke‐type electric field pulses not accompanied by channels to ground) were evaluated using optical and electric field data acquired at the LOG (Lightning Observatory in Gainesville), Florida. Our ground truth "IC events" include 26 "isolated IC events" (complete IC flashes), 58 "IC events before first return stroke, " and 69 "IC events after first return stroke." For the total of 153 IC events, 33% were detected by the NLDN, and the classification accuracy was 86%. For complete IC flashes, the detection efficiency and classification accuracy were 73% and 95%, respectively, and the average number of NLDN‐reported cloud pulses was 2.9 per detected event. For 24 preliminary breakdown pulse trains in CG flashes, the detection efficiency and classification accuracy were 46% and 82%, respectively. We have additionally estimated the DE and CA for return strokes in CG flashes. Irrespective of stroke order and polarity, the DE was 92% (339/367), and the CA was also 92% (312/339). The DEs for negative first and subsequent strokes were 98% and 90%, respectively. Key Points: Thirty‐three percent of IC events (including preliminary breakdown in CG flashes) were detected and 86% were correctly classified as cloud discharge activity Seventy‐three percent of complete IC flashes wereAbstract: The U.S. National Lightning Detection Network (NLDN) detection efficiency (DE) and classification accuracy (CA) for cloud discharge (IC) activity (identified here by a sequence of non‐return‐stroke‐type electric field pulses not accompanied by channels to ground) were evaluated using optical and electric field data acquired at the LOG (Lightning Observatory in Gainesville), Florida. Our ground truth "IC events" include 26 "isolated IC events" (complete IC flashes), 58 "IC events before first return stroke, " and 69 "IC events after first return stroke." For the total of 153 IC events, 33% were detected by the NLDN, and the classification accuracy was 86%. For complete IC flashes, the detection efficiency and classification accuracy were 73% and 95%, respectively, and the average number of NLDN‐reported cloud pulses was 2.9 per detected event. For 24 preliminary breakdown pulse trains in CG flashes, the detection efficiency and classification accuracy were 46% and 82%, respectively. We have additionally estimated the DE and CA for return strokes in CG flashes. Irrespective of stroke order and polarity, the DE was 92% (339/367), and the CA was also 92% (312/339). The DEs for negative first and subsequent strokes were 98% and 90%, respectively. Key Points: Thirty‐three percent of IC events (including preliminary breakdown in CG flashes) were detected and 86% were correctly classified as cloud discharge activity Seventy‐three percent of complete IC flashes were detected and 95% were correctly classified Fourty‐six percent of preliminary breakdown pulse trains in CG flashes were detected and 82% were correctly classified as cloud discharge activity … (more)
- Is Part Of:
- Journal of geophysical research. Volume 121:Issue 24(2016)
- Journal:
- Journal of geophysical research
- Issue:
- Volume 121:Issue 24(2016)
- Issue Display:
- Volume 121, Issue 24 (2016)
- Year:
- 2016
- Volume:
- 121
- Issue:
- 24
- Issue Sort Value:
- 2016-0121-0024-0000
- Page Start:
- 14, 651
- Page End:
- 14, 660
- Publication Date:
- 2016-12-29
- Subjects:
- NLDN -- cloud discharges -- detection efficiency -- classification accuracy
Atmospheric physics -- Periodicals
Geophysics -- Periodicals
551.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2169-8996 ↗
http://www.agu.org/journals/jd/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2016JD025574 ↗
- Languages:
- English
- ISSNs:
- 2169-897X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4995.001000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 852.xml