Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 13
Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 13
Research article
 | 
12 Jul 2024
Research article |  | 12 Jul 2024

A clustering-based method for identifying and tracking squall lines

Zhao Shi, Yuxiang Wen, and Jianxin He

Viewed

Total article views: 890 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
655 188 47 890 36 40
  • HTML: 655
  • PDF: 188
  • XML: 47
  • Total: 890
  • BibTeX: 36
  • EndNote: 40
Views and downloads (calculated since 21 Dec 2023)
Cumulative views and downloads (calculated since 21 Dec 2023)

Viewed (geographical distribution)

Total article views: 890 (including HTML, PDF, and XML) Thereof 877 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2024
Download
Short summary
The squall line is a type of convective system. Squall lines are often associated with damaging weather, so identifying and tracking squall lines plays an important role in early meteorological disaster warnings. A clustering-based method is proposed in this article. It can identify the squall lines within the radar scanning range with an accuracy rate of 95.93 %. It can also provide the three-dimensional structure and movement tracking results for each squall line.
Read more