机载气象雷达自适应危险天气预警方法仿真

Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar

提出一种适用于我国不同季节、经纬度和下垫面的机载气象雷达强风暴预警算法。基于地基天气雷达数据建立机载气象雷达探测强风暴仿真模型。利用改进的区域分割法和TITAN算法识别强风暴单体及其特征参数。按经纬度和下垫面将我国划分为16个特征区域(含东海和南海),获取这些区域冰雹强风暴雷达特征参数阈值,并给出危险天气预警算法。基于多个危险天气雷达实况数据,进行机载气象雷达强风暴天气预警仿真实验。仿真实验结果表明,该算法有助于飞行员快速判定危险天气,保障飞行安全。

A kind of suitable airborne weather radar algorithm for different seasons, latitude and longitude and underlying surface in China was proposed. A simulation model of airborne weather radar for detecting strong storm weather based on the ground-based weather radar data was established. The improved algorithm of region segmentation and TITAN were used to identify strong storms and their characteristic parameters. China was divided into 16 climate characteristic regions（including East China Sea and South China Sea） per the latitude and longitude. The threshold of strong hail storm radar echo characteristic parameters in these areas was obtained, and the dangerous weather warning probability algorithm was given. The multiple dangerous weather radar data were used in airborne weather radar for the simulation experiments of detecting strong storm weather. Simulation results show that the algorithm can help the pilots to quickly determine dangerous weather and ensure flight safety.