Research On Radar Detection Of Three Kinds Aviation Hazardous Weather Features

Although aviation technology has developed rapidly in recent years,the weather is still one of the most important factor affecting aviation safety and efficiency.Thunderstorms,wind shears and aircraft icing have a great impact on flight safety and flight efficiency.Weather radar has become an important instrument for aeronautical dangerous weather detection due to its high spatial and temporal resolution and long detection distance.Therefore,this paper mainly studies the radar detection of the above three kinds of aviation hazardous weather characteristics which affect flight safety.The main contents and conclusions of the paper are as follows:(1)The three-dimensional structure and feature quantity calculation of thunderstorm cell is studied by using ground-based Doppler weather radar reflectivity factor data and improved DBSCAN clustering algorithm,and the effectiveness of the thunderstorm cells detection algorithm was verified and analyzed on the foundation and airborne platform.The results show that compared with the SCIT algorithm,the thunderstorm cells detection algorithm reduces the complexity of thunderstorm component,and can well identify thunderstorm cells of any shape.The multi-layer threshold and feature core extraction technology can be used to identify thunderstorm cells in thunderstorm clusters;the corrosion expansion technique can be used to solve the false merger of thunderstorm cells.(2)Wind-shear detection was studied using ground-based Doppler weather radar radial velocity data.The core of the recognition algorithm is to calculate two-dimensional synthetic wind shear,vertical wind shear and time wind shear.In the calculation of two-dimensional synthetic wind shear,the wind shear intensity factor is used to adaptively select the size of the fitting "window",and then the least squares linear fitting method is used to obtain the horizontal wind shear.The results show that the synthetic wind shear obtained by adaptive multi-scale least squares method is superior to the synthetic wind shear products of China's business Doppler weather radar PUP in terms of detection effect,continuity and edge data processing.(3)Using the C-band dual-polarization weather radar data of Nanjing University of Information Science and Technology,based on the texture uniformity of polarization echo and the Icing Hazard Level Algorithm(IHLA)proposed by NCAR in the United States,icing area detection was carried out.The modular design of the algorithm enables the identification of supercooled water zones(frozen drizzle and mixed phase cloud zones),which in turn gives potential ice accumulation areas.The results show that the use of radar data,especially dualpolarization radar data,can detect potential aircraft icing areas and provide early warning of aircraft icing.