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中小尺度强对流天气的雷达回波图像生成方法
引用本文:李传浩,张秀娟,卜庆雷.中小尺度强对流天气的雷达回波图像生成方法[J].气象科技,2023,51(3):331-337.
作者姓名:李传浩  张秀娟  卜庆雷
作者单位:山东省济南市气象局 济南 250000;山东省济南市人工影响天气中心,济南 250000
摘    要:为生成复杂环境下的优质雷达回波图像,减少目标信息缺失现象与相对成像误差,提出基于中小尺度强对流天气的雷达回波图像生成方法。采用可最大限度保留雷达回波特性的傅里叶插值法,形成空间分辨率均匀的雷达回波三维规则网格数据;基于改进变分贝叶斯理论,实现中小尺度对流天气雷达回波图像超分辨重现,生成雷达回波图像。试验结果表明,该方法处理后的中小尺度强对流天气雷达回波范围与原图相似度高,可最大程度留存雷达回波信息,该方法能够生成清晰的雷达回波图像,且不存在目标信息缺失现象,相对成像误差极小。

关 键 词:中小尺度  强对流天气  雷达回波图像  雷达回波特征  傅里叶插值法  变分贝叶斯
收稿时间:2022/8/1 0:00:00
修稿时间:2023/4/10 0:00:00

Radar Echo Image Generation Method for Medium- and Small-Scale Severe Convective Weather
LI Chuanhao,ZHANG Xiujuan,BU Qinglei.Radar Echo Image Generation Method for Medium- and Small-Scale Severe Convective Weather[J].Meteorological Science and Technology,2023,51(3):331-337.
Authors:LI Chuanhao  ZHANG Xiujuan  BU Qinglei
Institution:Jinan Meteorological Bureau, Jinan 250000;Jinan Weather Modification Center, Jinan 250000
Abstract:In order to generate high quality radar echo images in complex environments and reduce the phenomenon of target information loss and relative imaging error, a radar echo image generation method based on small and medium scale strong convection weather is proposed. The Fourier interpolation method, which can retain the radar echo characteristics to the maximum extent, is used to form the 3D regular grid data of radar echo with uniform spatial resolution. Based on the improved variational Bayesian theory, the radar echo image of small and medium scale convective weather radar is super resolved and generated. The experimental results show that the radar echo range of the medium small scale strong convection weather radar processed by this method is highly similar to the original image. The radar echo information can be retained to the maximum extent. This method can generate clear radar echo images; there is no lack of target information; and the relative imaging error is very small.
Keywords:medium and small scale  severe convective weather  radar echo image  radar echo characteristic  fourier interpolation  variational Bayes
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