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.
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