二维气象雷达数据模拟器使用特定反射率和相位测量进行雨率估计算法验证

A. Elmzoughi, R. Abdelfattah, Z. Belhadj
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引用次数: 3

摘要

基于瑞利近似,开发了二维极化雨雷达测量图像的模块化模拟器。考虑了降雨的双重物理统计模型和降雨的几何描述,以便生成一套用于雨率估计的具体测量值。因此,模拟器产生与极化雷达数据相对应的图像。它是一种灵活的工具,允许用户在降雨过程的各种参数化以及涉及偏振变量测量的雷达系统之间进行选择。通过一个例子说明了所提出的模拟器如何从生成的数据中给出预期的结果。该模拟器还被用作实验室,验证和比较了一些雨率估计算法。所得结果与文献中已知的结果一致。可以设想在模拟器中实现额外的模块,例如Mie和t矩阵近似以及多普勒径向风模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
2D weather radar data simulator using specific reflectivity and phase measurements for the rain rate estimation algorithms validation
A modular simulator of 2D polarimetric rain radar measurements images has been developed based on the Rayleigh approximation. A dual physical-statistical model of the rain and a geometrical description of the rain downpours were considered in order to generate a set of the specific measurements for the rain rate estimation. Thus, the simulator produces images corresponding to the polarimetric radar data. It is a flexible tool that allows the user to choose among a variety of parameterizations of the rain process as well as the radar system involved in the measuring of the polarimetric variables. It has been illustrated on one example how the proposed simulator gives expected results from generated data. The simulator was also used as a laboratory to validate and compare some rain rate estimation algorithms. The obtained results go in harmony with known results in the literature. It is envisageable to implement additional modules in the simulator, such as the Mie and the T-Matrix approximations and the Doppler radial winds modules.
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