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Studies of the polarimetric covariance matrix for meteorological applications.

机译:用于气象应用的极化协方差矩阵的研究。

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Multi-parameter polarimetric radar has shown great utility in meteorology by improving measurement accuracy and microphysical understanding. This work concentrates on studies of the full polarimetric covariance matrix to retrieve the moment estimations over the shape distribution and orientation distribution of the precipitation medium.; The antenna-induced polarimetric errors that result from inter-channel contamination and sidelobe leakage are first examined. Antenna patterns are used to convolve the distributed medium with large gradients and a methodology to detect such polarimetric errors is developed. The methodology is illustrated with volume simulation of a synthetic storm and then is applied to real cases from the project of Thunderstorm Electrification and Precipitation Study (STEPS). The detection is evaluated by comparing the results between two coordinated research radars---CSU-CHILL and NCAR S-Pol. The evaluation of antenna performance is also given within this context.; In the second part, the full polarimetric covariance matrix is studied along with polarization basis transformation. The effect of backscattering canting, the effect of propagation, and the integrated antenna polarization errors on the covariance matrix are analyzed. Considering backscattering canting, a new method to estimate the orientation factors, i.e., the mean canting angle and its dispersion, is proposed based directly on the covariance matrix in the linear basis. The new method is compared with other approaches, such as that based on circular covariance matrix and that based on polarization optimization. The distortion due to propagation, especially due to non-diagonal propagation, is studied with simulation. Concerning the integrated antenna polarization errors, a novel approach is proposed to estimate the non-orthogonal error matrix.; In the last part, the proposed approaches are applied to a variety of real cases. For the purpose of orientation estimation, the full covariance matrix must be calibrated carefully on both power terms and phase terms. A modified phase filtering process is designed to obtain robust filtering over the "weak" cross-polar channels so that the phase offsets could be accurately estimated. The integrated antenna polarization errors are then estimated and corrected. Different types of precipitation are analyzed with the estimated orientation factors, the derived circular radar variables, and the conventional linear radar variables. It is shown that the linear depolarization ratio suffers ambiguity on presenting orientation information compared to the estimated orientation dispersion. The mean canting angle is very close to zero for most precipitation targets except the aligned crystals which can be usually observed at the top of electrified storms. The near zero mean canting angle also justifies the hybrid operation mode planned for the WSR-88D radars.
机译:多参数极化雷达通过提高测量精度和对微物理的了解而在气象学中显示出极大的实用性。这项工作集中在全极化协方差矩阵的研究上,以获取关于降水介质的形状分布和取向分布的矩估计。首先检查由通道间污染和旁瓣泄漏引起的天线感应极化误差。天线方向图用于使分布的介质以大的梯度卷积,并开发了一种检测此类极化误差的方法。该方法通过合成风暴的体积模拟进行了说明,然后将其应用于雷暴电气化和降水研究(STEPS)项目的实际案例中。通过比较两个协调研究雷达-CSU-CHILL和NCAR S-Pol的结果来评估检测。在这种情况下,还对天线性能进行了评估。在第二部分中,研究了完整的极化协方差矩阵以及极化基础变换。分析了反向散射倾斜,传播的影响以及天线极化误差对协方差矩阵的影响。考虑到背向散射倾斜,提出了一种直接基于线性协方差矩阵来估计方位角的方法,即平均倾斜角度及其离散度。将该新方法与其他方法进行了比较,例如基于圆形协方差矩阵的方法和基于极化优化的方法。通过仿真研究了由于传播引起的失真,尤其是由于非对角传播引起的失真。针对天线综合极化误差,提出了一种新的估计非正交误差矩阵的方法。在最后一部分中,所提出的方法适用于各种实际情况。为了进行方向估计,必须在功率项和相位项上仔细校准整个协方差矩阵。设计了一种改进的相位滤波过程,可以在“弱”交叉极性通道上获得鲁棒的滤波,从而可以准确地估计相位偏移。然后估计并校正积分天线的极化误差。利用估计的方位因子,导出的圆形雷达变量和常规的线性雷达变量分析了不同类型的降水。结果表明,与估计的方向色散相比,线性去极化率在呈现方向信息时存在歧义。对于大多数降水目标而言,平均倾斜角非常接近于零,除了通常在通电风暴顶部可以观察到的排列晶体。接近零的平均倾斜角也证明了为WSR-88D雷达计划的混合运行模式。

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