Meteorological Applications of a Fully Polarimetric Doppler Radar

摘要/Kostinski 本研究的目的是检查时间序列模拟和测量的水凝物后向散射极化矩阵，以调查其潜在的气象应用。 以前的结果表明，更深入的理解的微观物理是可能的，通过解释的偏振散射矩阵作为一个运营商，而不是从相关的协方差矩阵的极化变量的列表。 特别地，现在已知的是，偏振矩阵本征值和本征向量的时间序列可以用于定义与水凝物的形状和倾斜相关的气象学上有用的变量。 我们的目标是进一步扩展这项研究，以实现最清晰的大小，形状和方向信息的分离。 这种知识很可能对偏振技术在几个实际问题中的应用产生影响，这些实际问题包括，例如，水凝物类型之间的区分（例如，雨与冰雹），改进了雨滴的表征，以便更好地估计降雨量。

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.