Polarization Characteristics Simulation of Airborne Weather Radar Rainfall Target Based on Numerical Weather Prediction

Q2 Physics and Astronomy
Journal of Radars Pub Date : 2016-04-01 DOI:10.12000/JR16048
Liu Xia, Han Yanfei, Li Hai, Lu Xiaoguang, Wu Renbiao
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引用次数: 1

Abstract

Meteorological target simulation using polarization information is the foundation of the theoretical research and design application of dual-polarization Doppler weather radar. Currently, the theoretical research of airborne dual-polarization weather radar is in the development stage. To provide high-fidelity simulation data required for airborne dual-polarization weather radar detection technology, in this study, a simulation method of the polarization characteristics of rainfall determined using airborne weather radar based on numerical weather prediction is proposed. The numerical weather prediction model is used to realize the modeling and simulation of meteorological scenarios and provide information on meteorological parameters such as temperature, particle concentration, and mixing ratio of rainfall. In the analysis of the microphysical properties of rainfall, the electromagnetic scattering matrix is calculated and the simulation of the polarization characteristics of rainfall is achieved. The simulation results for different microphysical property parameters have led to the establishment of a high-fidelity rainfall model and demonstrated (via comparison with the real radar data) that the simulation of polarization characteristics using the proposed method is effective and reliable.
基于数值天气预报的机载气象雷达降雨目标极化特性模拟
利用极化信息模拟气象目标是双极化多普勒天气雷达理论研究和设计应用的基础。目前,机载双极化气象雷达的理论研究处于发展阶段。为了提供机载双极化天气雷达探测技术所需的高保真仿真数据,本研究提出了一种基于数值天气预报的机载气象雷达降水极化特征模拟方法。数值天气预报模式用于实现气象情景的建模和模拟,提供温度、颗粒浓度、降雨混合比等气象参数信息。在降雨微物理特性分析中,计算了降雨的电磁散射矩阵,实现了降雨极化特性的模拟。通过对不同微物性参数的模拟,建立了高保真度的降雨模型,并与实际雷达数据进行了对比,验证了该方法对极化特性的模拟是有效和可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Radars
Journal of Radars Physics and Astronomy-Instrumentation
CiteScore
4.10
自引率
0.00%
发文量
882
期刊介绍: Information not localized
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