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LIU Xiaoming. Methodology and effectiveness of LiDAR in identifying low-level wind shear[J]. LASER TECHNOLOGY, 2024, 48(3): 416-424. DOI: 10.7510/jgjs.issn.1001-3806.2024.03.018
Citation: LIU Xiaoming. Methodology and effectiveness of LiDAR in identifying low-level wind shear[J]. LASER TECHNOLOGY, 2024, 48(3): 416-424. DOI: 10.7510/jgjs.issn.1001-3806.2024.03.018
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Methodology and effectiveness of LiDAR in identifying low-level wind shear

  • Meteorological Center, Xinjiang Air Traffic Management Bureau, Civil Aviation Administration of China, Urumqi 830016, China

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  • Received Date: May 18, 2023
  • Revised Date: August 20, 2023
  • Published Date: May 24, 2024
    Graphical Abstract
    • Abstract
  • To improve the ability of low-level wind shear identification and early warning, the effects of the single-slope method, double-slope method, and regional-divergence method for low-level wind shear identification in glide path area were analyzed and evaluated based on the data of a Chinese FC-Ⅲ wind light detection and ranging(LiDAR) and pilot reports. Subsequently, the spatial and temporal distribution characteristics of wind shear in Urumqi Airport in winter and spring were analyzed by using radar recognition results. The evaluation shows that the regional divergence method has an optimal performance for identifying the low-level wind shear at the airport, with a success rate of 86.7%. 14:00—16:00 is the occurrence time peak of low-level wind shear at the airport, and the high occurrence periods in winter and spring are 14:00—18:00 and 12:00—20:00, respectively. The wind shear frequency of 35.7% and wind shear intensity of 0.0042/s in spring are higher than those of 17.6% and 0.004/s in winter. The differences in radar detection frequency of wind shears at different parts of the runway and glide paths indicate that the radar can accurately capture the specific location of wind shears. The study provides a reference for the application of wind LiDAR in the field of low-level wind shear recognition.
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    • References (18)
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