Meteorological Applications of Fully Polarimetric Doppler Radar

全偏振多普勒雷达的气象应用

• 批准号: 9116075
• 负责人: Alexander Kostinski
• 金额: $ 21.1万
• 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: 1992
• 资助国家: 美国
• 起止时间: 1992-03-15 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9116075&HistoricalAwards=false
• 关键词: Meteorological; Applications; Fully; Polarimetric; Doppler

The proposed research is concerned with meteorological aplications of polarimetrically agile radar sensing, that is, determining properties of collections of scatterers (e.g. hydrometeors) such as size, shape, and orientation distributions from measured scattering or Mueller polarization matrices. It is argued that processing of fully polarimetric data should be done before time averages are made and correlations formed so that physical insight, based on vector wave scattering, can be focused on identifying an optimal combination of polarization parameters. The purpose of this work is to develop, test, and apply new polarimetric data processing algorithms in both, coherent and incoherent scattering regimes. The algorithms are aimed at 1) improving the accuracy of existing estimators of precipitation; 2) providing new "signatures" of cloud and precipitation phenomena e.g. rain vs. hail discrimination; 3) improving conceptual understanding and ranges of applicability of the coherent and incoherent polarimetric scattering regimes (scattering matrix vs. Mueller matrix description).

拟议的研究涉及偏振敏捷雷达传感的气象应用，即根据测量的散射或穆勒偏振矩阵确定散射体（例如水凝物）集合的特性，例如尺寸、形状和方向分布。 有人认为，应该在进行时间平均和形成相关性之前对完全偏振数据进行处理，以便基于矢量波散射的物理洞察可以集中于识别偏振参数的最佳组合。 这项工作的目的是在相干和非相干散射体系中开发、测试和应用新的偏振数据处理算法。 这些算法的目的是：1）提高现有降水估算器的准确性； 2) 提供云和降水现象的新“特征”，例如雨与冰雹的歧视； 3) 提高相干和非相干偏振散射机制的概念理解和适用范围（散射矩阵与穆勒矩阵描述）。