Turbulence and Precipitation Classification based on Doppler-Polarimetric Radar Data

Y. Ostrovsky, F. Yanovsky, H. Rohling
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引用次数: 22

Abstract

This paper describes a methodology of precipitation and turbulence classification based on radar echo signal features measured by polarimetric radar. Estimation of turbulence parameters on the basis of Doppler spectrum width is used, but additionally some new polarimetric parameters and averaged velocity features are integrated into the classification procedure. After a detailed echo-signal analysis, a fuzzy logic classification procedure is applied. The classification procedure makes a decision about the type of both precipitation and turbulence intensity.
基于多普勒偏振雷达数据的湍流和降水分类
本文介绍了一种基于极化雷达回波信号特征的降水和湍流分类方法。湍流参数的估计是基于多普勒谱宽,但在分类过程中还加入了一些新的极化参数和平均速度特征。在对回波信号进行详细分析后,采用模糊逻辑分类方法。分类程序决定了降水和湍流强度的类型。
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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