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基于傅里叶谱分析的天气雷达图像插值方法
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  • 英文篇名:An Interpolation Method for Weather Radar Data Based on Fourier Spectrum Analysis
  • 作者:焦鹏程 ; 王振会 ; 楚志刚 ; 韩静 ; 张帅 ; 朱艺青
  • 英文作者:JIAO Pengcheng;WANG Zhenhui;CHU Zhigang;HAN Jing;ZHANG Shuai;ZHU Yiqing;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,CMA Key Laboratory for Aerosol-Cloud-Precipitation,Nanjing University of Information Science & Technology;School of Atmospheric Physics,Nanjing University of Information Science & Technology;
  • 关键词:傅里叶谱分析 ; 雷达数据插值 ; 强回波中心
  • 英文关键词:Fourier spectrum analysis;;Data interpolation;;Strong echo center
  • 中文刊名:GYQX
  • 英文刊名:Plateau Meteorology
  • 机构:南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶-云-降水重点实验室;南京信息工程大学大气物理学院;
  • 出版日期:2016-12-28
  • 出版单位:高原气象
  • 年:2016
  • 期:v.35
  • 基金:公益性行业科研专项(GYHY201306078);; 国家自然科学基金(41275043);; 江苏高校优势学科建设工程资助项目(PAPD)
  • 语种:中文;
  • 页:GYQX201606025
  • 页数:11
  • CN:06
  • ISSN:62-1061/P
  • 分类号:278-288
摘要
针对一种基于傅里叶谱分析原理的天气雷达回波强度图像插值方法,首先介绍了该方法的理论和算法步骤,然后进行了实际个例实验。结果表明:该方法比双线性插值方法能更好地凸显强对流天气情况下强回波区的结构特征,其本质是利用傅里叶谱分析获得产生对流性降水的"积状云"回波强度时空变化的谱特征,并进一步将谱特征用于观测数据离散点拟合、再进行重采样,有利于凸显一些因雷达分辨率低而探测不到的强回波中心。
        Interpolation is essential in radar data coordinate transformation and radar network process due to the polar coordinate storage of radar data. In order to improve the effect and observation ability of radar network,an interpolation method based on Fourier spectrum analysis( "Fourier interpolation method"for short) has been developed for weather radar echo imagery data. The principle of this method is based on fitting discrete radar-sampling points with Fourier spectrum analysis and then re-sampling for the purpose of interpolation. The algorithm is introduced by steps and cases like typhoon and heavy rain radar images detected by Fuzhou radar and Nanjing SA radar have been studied by comparing Fourier interpolation with bilinear interpolation method in processing radar echo image at lowangle. Bilinear interpolation method could narrowthe strong echo area because of its "average"process,but Fourier interpolation method can avoid this problem in a certain extent with spectral analysis and sampling properties. Fourier interpolation method can highlight the structural characteristics of strong echo area when processing cumuliform cloud echo derived from convective precipitation in a proper distance,and in the far distance it can interpolate the strong echo centers that lowresolution radar cannot detect. Due to the fitting equation,in the strong echo area,the results of Fourier interpolation have a better consistency with true value( fitting degree R2 is more than 0. 98; slope is 0. 98; intercept is only 0. 31 d BZ,closed to 0 d BZ),but the consistency between the bilinear interpolation and the true value is worse( fitting degree R2 is 0. 94,the slope is only0. 79,intercept is more than 8. 04 d BZ). Fourier interpolation method performs better than the commonly-used bilinear interpolation method in highlighting the structure characteristics of strong echoes in severe convective area and is conducive to showing some severe convective centers which cannot be detected because of the lower spatial resolution at long distance. Due to the large amount of calculation,further research is needed to shorten the calculation time.
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