Application of LiDAR based on wavelet transform modulus maxima in low-level wind shear alerting

For better detection of low-level wind shear, a new algorithm based on the wavelet transform modulus maxima methodI was introduced to predict the occurrence of wind shear along the glide path. Wavelet transform is used to obtain the modulus maximum value on the recombined upwind profile. The "inflection point" was found, and then the windshear judgment standard was used to judge its accuracy. Numerical examples and field detection data from Yunxi Meteorological Station in Hubei Province and Panzhihua Airport in Sichuan Province have well verified the good performance of the method, in terms of both accuracy and efficiency. The result shows that the pulse-type data is more accurate using the even number wavelet in the biorthogonal system; the step-type and ramp-type data is more accurate using the Db5 in the Daubechies system. The results show that the wind shear occurred in Yunxi county and Panzhihua Baoanying Airport, the wind shear intensity were both heavy. This algorithm can detect different types of wind shear without considering the scale of wind shear, which makes up for the shortcomings of existing algorithms, provides technical support for aircraft takeoff and landing, and has great significance for real-time detection and early warning.