Statistical Quality of Spectral Polarimetric Variables for Weather Radar
Statistical Quality of Spectral Polarimetric Variables for Weather Radar
复制标题
气象雷达光谱偏振变量的统计质量
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Yadong Wang
中科院分区：
文献类型：
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作者：
Tian;Xiao Xiao;Yadong Wang
天气雷达的光谱偏振测量利用了多普勒和偏振测量，通过频谱分析揭示了偏振变量作为径向速度的函数。例如，某一速度下的光谱差异反射率表示在雷达分辨率体积内具有相同目标径向速度的所有散射体的差异反射率。例如，光谱偏振测量已被应用于抑制地面和生物杂波，从不同类型的水流星的混合物中提取单个液滴尺寸分布，以及估计湍流强度。虽然光谱偏振测量已经得到越来越多的关注，但光谱偏振变量估计的统计质量还没有得到研究。本文用微扰法推导了由平均光谱估计的光谱微分反射率和光谱共振相关系数的偏差和标准差。结果应该是……
AbstractSpectral polarimetry for weather radar capitalizes on both Doppler and polarimetric measurements to reveal polarimetric variables as a function of radial velocity through spectral analysis. For example, spectral differential reflectivity at a velocity represents the differential reflectivity from all the scatterers that have the same radial velocity of interest within the radar resolution volume. Spectral polarimetry has been applied to suppress both ground and biological clutter, retrieve individual drop size distributions from a mixture of different types of hydrometeors, and estimate turbulence intensity, for example. Although spectral polarimetry has gained increasing attention, statistical quality of the estimation of spectral polarimetric variables has not been investigated. In this work, the bias and standard deviation (SD) of spectral differential reflectivity and spectral copolar correlation coefficient estimated from averaged spectra were derived using perturbation method. The results sh...