Open Access Paper
12 November 2024 Horizontal scale study of low-level wind shear based on F-factor
Qi Wang, Hong Sun, Kezhi Zhang, Qing Wang
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133952P (2024) https://doi.org/10.1117/12.3049231
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Low-level wind shear is an important weather phenomenon that affects flight safety, and understanding the horizontal scale of low-level wind shear is highly beneficial for wind shear-related research and flight training. Considering the lack of statistics and research in this area in China, this paper proposes a calibration method for the horizontal scale of low-level wind shear based on the F-factor. First, the vertical wind speed is calculated from various flight parameters recorded in the Quick Access Recorder (QAR) data, and then the F-factor is obtained. Second, the wind shear danger period for triggering reactive wind shear warning segments is determined based on the threshold value (±0.105) proposed by the FAA. Third, the horizontal scale of low-level wind shear is estimated by calculating the distance that the aircraft flies during the danger period of the wind shear. Finally, the QAR data from 147 flights triggering reactive wind shear warnings are statistically analyzed, and the mean value of the common horizontal scale of low-altitude wind shear was estimated to be approximately 517 m, with a standard deviation of approximately 135 m.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qi Wang, Hong Sun, Kezhi Zhang, and Qing Wang "Horizontal scale study of low-level wind shear based on F-factor", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133952P (12 November 2024); https://doi.org/10.1117/12.3049231
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KEYWORDS
Wind speed

Statistical analysis

Safety

Calibration

Data acquisition

Hazard analysis

LIDAR

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