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Numerical, image, and signal processing algorithms applied to radar rainfall estimation.

机译：数值，图像和信号处理算法应用于雷达降雨估算。

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摘要

Since the advent of radar in the 1940s, it has been well known that water drops composing precipitation scatter microwaves in a predictable manner. This characteristic of early radar has lead to the present day Weather Surveillance Radar (WSR-88D) or NEXRAD systems, operated by the National Weather Service (NWS). In parallel to the evolution of weather radar for measuring precipitation over large areas, remote networks of rain gauges have been deployed and managed by agencies such as the Florida Water Management Districts. Since the recent deployment of the NWS network of WSR-88D, as well as the recent launch of the NASA Tropical Rainfall Measurement Mission (TRMM) satellite, significant attention has been placed upon the merging of these diverse sources of rainfall measurement. The main focus of this dissertation research has been to develop and analyze methods of rain gauge and radar correlation for the purpose of optimizing rainfall estimates. The techniques presented in this dissertation observe that the physical link between rain gauge and radar reflectivity data is the drop size distribution (DSD). Using various numerical algorithms, as well as methods common to image and signal processing such as median filtering, two-dimensional cross-con-elation, and adaptive signal processing, methods of analysis are presented which attempt to correlate radar reflectivity, rain gauge, and disdrometer data. Particular attention is given to the subjects of rain gauge and radar interpolation; disdrometer calibration; microscale radar rainfall estimation; and a convolution model of DSD evolution, which attempts to model the convective-like properties of rainfall.
机译：自1940年代雷达问世以来，众所周知，水滴以可预测的方式组成了降水散射微波。早期雷达的这一特征导致了由国家气象局（NWS）运营的当今的天气监视雷达（WSR-88D）或NEXRAD系统。在发展气象雷达以测量大范围降水的同时，由佛罗里达水管理区等机构部署和管理了雨量计的远程网络。自从最近部署WSR-88D的NWS网络，以及最近发射了NASA热带雨量测量任务（TRMM）卫星以来，人们对这些不同雨量测量源的合并给予了极大的关注。本论文的研究重点是开发和分析雨量计和雷达相关性的方法，以优化降雨估计。本文提出的技术观察到雨量计与雷达反射率数据之间的物理联系是液滴尺寸分布（DSD）。使用各种数值算法，以及图像和信号处理常用的方法（例如中值滤波，二维交叉关联和自适应信号处理），提出了分析方法，这些方法试图将雷达反射率，雨量计和测速仪数据。特别注意雨量计和雷达插值的主题；测速仪校准；微型雷达降水估计；以及DSD演化的卷积模型，该模型试图模拟降雨的对流性质。

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  • 作者

    Lane, John Eugene.;

  • 作者单位

    University of Central Florida.;

  • 授予单位 University of Central Florida.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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