Meteorological Applications of a Fully Polarimetric Doppler Radar

摘要/Kostinski本研究的目的是研究水流星后向散射极化矩阵的时间序列模拟和测量，以探讨其潜在的气象应用。先前的结果表明，通过将极化散射矩阵解释为一个算符，而不是从相关协方差矩阵中导出的一系列极化变量，可以更深入地理解微物理。特别是，现在已知极化矩阵特征值和特征向量的时间序列可用于定义与水成物的形状和倾斜有关的气象有用变量。我们的目标是进一步扩展这项研究，以实现尺寸、形状和方向信息的尽可能清晰的分离。这种知识很可能对偏振技术在若干实际问题上的应用产生影响，例如，对水流星类型（例如，雨与冰雹）的区分，改进雨滴的特征以更好地估计降雨量。

Abstract/Kostinski The objective of this research is to examine time-series simulations and measurements of hydrometeor backscatter polarization matrices in order to investigate their potential meteorological applications. Previous results show that a deeper understanding of the microphysics is possible by interpreting the polarization scattering matrix as an operator rather than a list of polarimetric variables derived from the associated covariance matrix. In particular, it is now known that the time-series of the polarization matrix eigenvalues and eigenvectors can be used to define meteorologically useful variables related to the shape and canting of the hydrometeors. Our goal then is to further extend this research in order to achieve the clearest possible separation of size, shape, and orientation information. Such knowledge may well have implications with respect to the application of polarization techniques to several practical problems including, for example, the discrimination among hydrometeor types (e.g., rain vs. hail), improved characterization of raindrops for better rainfall estimation.