Preprints
https://doi.org/10.5194/amt-2016-380
https://doi.org/10.5194/amt-2016-380
19 Apr 2017
 | 19 Apr 2017
Status: this preprint was under review for the journal AMT but the revision was not accepted.

Lightning Data Analysis of the CMA Network in China

Feng Li, Lei Wu, and Yan Li

Abstract. Based on analysis and evaluation of the 2009 to 2013 national lightning monitoring data, the average lightning detection station distance is approximately 170 kilometers in China, and the average operational availability (AO) exceeds 90 %. Lightning detection systems use a hybrid location method of direction finding (DF) and the time difference of arrival (TOA). The stations use four localization algorithms, including two-station mixing, three-station mixing, four-station mixing and two-station amplitude. Among them, the four-station method has the highest positioning accuracy, i.e., close to 50 %. The statistical results show that lightning occurrences in China have increased, especially negative cloud-to-ground (−CG) flashes because positive cloud-to-ground (+CG) flashes account for only 5.1 % of the total. In china, most of lightning currents range are in the −60 ~ +60 kA, Lightning current between −10 ~ +10 kA only accounted for small proportion of 0.6 %.The average intensity of positive flashes is 64.2 kA, the average intensity of negative flashes is −40.28 kA. The average +CG intensity is higher than that of −CG flashes, which is consistent with statistical results of other Lightning detection network. Lightning frequency has obvious regional differences across the country; the high density lightning area is mainly distributed in south-central China, the south-central Yangtze River region and the eastern part of southwestern China. Seasonal variation in lightning activity is well defined, with few lightning occurrences in winter and a gradual but significant increase from spring to autumn in the middle and lower reaches of the Yangtze River to the north, south and southwest. The ratio of positive to negative flashes is highest in winter.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Feng Li, Lei Wu, and Yan Li
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Feng Li, Lei Wu, and Yan Li
Feng Li, Lei Wu, and Yan Li

Viewed

Total article views: 1,569 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,069 415 85 1,569 76 82
  • HTML: 1,069
  • PDF: 415
  • XML: 85
  • Total: 1,569
  • BibTeX: 76
  • EndNote: 82
Views and downloads (calculated since 19 Apr 2017)
Cumulative views and downloads (calculated since 19 Apr 2017)

Viewed (geographical distribution)

Total article views: 1,539 (including HTML, PDF, and XML) Thereof 1,534 with geography defined and 5 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
China Meteorological Bureau has established a number of technical equipment, better performance of lightning detection network, and has been operating for nearly 10 years, a large amount of lightning data are collected. Through the analysis of Chinese lightning data, allowing foreign counterparts to understand the status quo of China lightning network, and provide the opportunity to exchange.