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机载气象雷达自适应危险天气预警方法仿真

发布时间:2018-08-17 08:49
【摘要】: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。
[Abstract]:A strong storm warning algorithm for airborne weather radar is proposed, which is suitable for different seasons, longitude, latitude and underlying surface in China. Based on ground-based weather radar data, a simulation model of airborne weather radar for strong storm detection is established. The improved region segmentation method and TITAN algorithm are used to identify the strong storm cell and its characteristic parameters. China is divided into 16 characteristic regions (including East China Sea and South China Sea) according to longitude and latitude and underlying surface. The threshold of radar characteristic parameters of hail storm in these regions is obtained, and a warning algorithm for dangerous weather is given. Based on the real data of several dangerous weather radar, the simulation experiment of airborne weather radar for severe storm weather warning is carried out. The simulation results show that the algorithm is helpful for pilots to quickly determine dangerous weather and ensure flight safety.
【作者单位】: 中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害四川省重点实验室;中国航空工业集团公司雷华电子技术研究所;气象灾害预报预警与评估协同创新中心南京信息工程大学;
【基金】:航空科学基金(201320R2001)
【分类号】:TN959.4

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