Research on wind shear identification method based on combined F-factor

Shijun Zhao; Wenkai Zhao; Yulong Shan; Xiaolong Tian

doi:10.1117/12.2691407

6 November 2023 Research on wind shear identification method based on combined F-factor

Shijun Zhao, Wenkai Zhao, Yulong Shan, Xiaolong Tian

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129212Z (2023) https://doi.org/10.1117/12.2691407
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

Low-altitude wind shear is an important factor affecting flight safety and poses the most critical and challenging problem for the airport’s flight security. To date, several Light Detection and Ranging (LIDAR) based wind shear detection algorithms have been developed. Among them, the F-factor algorithm directly reflects the impact of a changing wind field on the aircraft’s flight based on the latter’s energy change. However, utilizing the F-factor algorithm for wind shear monitoring, the calculation results are often inaccurate due to the unknown vertical wind speed. Hence, this study proposes a combined F-factor algorithm based on LIDAR’s PPI and RHI scanning data to solve this problem. The wind shear monitoring experiment is performed at Yushu Airport to analyze and verify our algorithm’s effectiveness according to data obtained from LIDAR, a wind profile radar, and an automatic wind measurement system. The results highlight that the combined F-factor algorithm is more appealing than the traditional F-factor algorithm in detecting the vertical wind field, improving the accuracy of the wind shear identification results.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shijun Zhao, Wenkai Zhao, Yulong Shan, and Xiaolong Tian "Research on wind shear identification method based on combined F-factor", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129212Z (6 November 2023); https://doi.org/10.1117/12.2691407

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