Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 15
Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-10045-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-10045-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 15
Research article
 | 
05 Aug 2022
Research article |  | 05 Aug 2022

Characterising the dynamic movement of thunderstorms using very low- and low-frequency (VLF/LF) total lightning data over the Pearl River Delta region

Si Cheng, Jianguo Wang, Li Cai, Mi Zhou, Rui Su, Yijun Huang, and Quanxin Li

Viewed

Total article views: 1,997 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,387 538 72 1,997 64 43 50
  • HTML: 1,387
  • PDF: 538
  • XML: 72
  • Total: 1,997
  • Supplement: 64
  • BibTeX: 43
  • EndNote: 50
Views and downloads (calculated since 08 Nov 2021)
Cumulative views and downloads (calculated since 08 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,997 (including HTML, PDF, and XML) Thereof 1,997 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 May 2025
Download
Short summary
This paper helps to improve the recognition of severe thunderstorms in advance by giving a general understanding of how long the storm lasts, how fast the cluster moves and how much area the storm affects via information about the kinematic features of thunderstorms, which are the duration, valid area, the velocity, the direction and the farthest distance, and ideally to establish a foundation for future research that may contribute to the development of a new or improved prediction paradigm.
Read more
Share
Altmetrics
Final-revised paper
Preprint