Meteorological Applications of a Fully Polarimetric Doppler Radar

全偏振多普勒雷达的气象应用

• 批准号: 9512685
• 负责人: Alexander Kostinski
• 金额: $ 24.2万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-07-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9512685&HistoricalAwards=false
• 关键词: Meteorological; Applications; Fully; Polarimetric; Doppler

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.

摘要/Kostinski这项研究的目的是检验水流星后向散射极化矩阵的时间序列模拟和测量，以调查其潜在的气象应用。以前的结果表明，通过将极化散射矩阵解释为算子而不是从相关协方差矩阵推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以用来定义与水流星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，以便尽可能清楚地分离大小、形状和方向信息。这些知识很可能对将极化技术应用于几个实际问题产生影响，包括例如区分水流星类型(例如雨和冰雹)、改进雨滴的特性以更好地估计降雨量。