The Effects of Stochastic Rainfall Clustering on Radar Measurements

随机降雨聚类对雷达测量的影响

• 批准号: 9712075
• 负责人: Arthur Jameson
• 金额: $ 34.18万
• 依托单位: RJH Scientific Incorporated
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-15 至 2000-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9712075&HistoricalAwards=false
• 关键词: Effects; Stochastic; Rainfall; Clustering; Radar

Jameson/Abstract ATM-9712075 The objectives of this research are: 1. to investigate how patchiness and clustering alters radar measurement statistics. 2. to investigate how patchiness and clustering alters our concept of drop size distributions and radar Z-R relations and 3. to investigate how patchiness and clustering alters aspects of scattering particularly with respect to multiple scatter The primary approach will be numerical experiments and Monte Carlo simulations although observations will be included as well, when available. The objectives of these experiments are: (a) to develop further our understanding of the effects of the variance of parameters generated by patchiness and clustering on measurement statistics by considering correlated samples and by considering different radar parameters such as polarization radar variables (b) to investigate how the variability of drop size distributions within a radar beam effects Z-R relations such as those used by the NEXRAD radars and (3) to explore the effects of clustering on multiple scatter and backscattered microwaves as functions of the variance of the number of drops per unit volume, the mean separation distances, and drop sizes.

本研究的目的是：1.；研究斑块和聚类如何改变雷达测量统计。2. 研究斑块和聚类如何改变我们对水滴大小分布和雷达Z-R关系的概念。研究斑块和聚类如何改变散射的各个方面，特别是关于多次散射。主要的方法将是数值实验和蒙特卡罗模拟，尽管观测也将包括在内，如果可能的话。这些实验的目的是：(a)通过考虑相关样本和不同雷达参数（如极化雷达变量），进一步了解由斑块和聚类产生的参数方差对测量统计量的影响；(b)研究雷达波束内水滴大小分布的可变性如何影响Z-R关系，如NEXRAD雷达所使用的关系；(3)探索聚类对多重散射和散射的影响后向散射微波随单位体积滴数、平均分离距离和滴大小变化的函数。