Laser Technology, Volume. 49, Issue 2, 203(2025)

Research and analysis of low-level wind shear warning algorithm in LiDAR

ZHAO Gang*, HUANG Xuan, and HUA Zhiqiang
Author Affiliations
  • Meteorological Observatory, Qinghai Air Traffic Management Sub-bureau, Civil Aviation Administration of China, Xining 810000, China
  • show less

    In order to compare the application effect of two low altitude wind shear alerting algorithms of combined shear algorithm and the regional divergence algorithm on wind light detection and ranging (LiDAR) in complex wind fields, 15 wind shear cases caused by 3 typical weather processes of convective system, cold front, and momentum down at a typical plateau airport from 2017-12 to 2023-04 were selected for comparative analysis of the effectiveness of the recognition algorithms by using a wind LiDAR radar that is made in China. The results show that the accuracy of the combined shear algorithm and the regional divergence algorithm are 73.3% and 67.7%, respectively. The validity of low-level wind shear alarm obtained by the algorithm can last for more than 10 min. It can be seen that the combined shear algorithm is more advantageous in the identification of small-scale low-level wind shear. However, in the case of convective type and cold front type low-level wind shear with slow wind field change, the recognition rate of the two algorithms is not high. The research results of this paper have a good reference significance for equipment manufacturers to improve the low altitude wind shear alerting algorithm.

    Tools

    Get Citation

    Copy Citation Text

    ZHAO Gang, HUANG Xuan, HUA Zhiqiang. Research and analysis of low-level wind shear warning algorithm in LiDAR[J]. Laser Technology, 2025, 49(2): 203

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Feb. 6, 2024

    Accepted: May. 13, 2025

    Published Online: May. 13, 2025

    The Author Email: ZHAO Gang (zhaogang1811@163.com)

    DOI:10.7510/jgjs.issn.1001-3806.2025.02.007

    Topics