Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4121-2024
https://doi.org/10.5194/amt-17-4121-2024
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

Data sets

NEXRAD Inventory NOAA's National Weather Service Radar Operations Center: https://registry.opendata.aws/noaa-nexrad

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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.