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Cloud radar with hybrid mode towards estimation of shape and orientation of ice crystals

机译:具有混合模式的云雷达,用于估计冰晶的形状和方向

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摘要

This paper is devoted to the experimental quantitative characterization ofthe shape and orientation distribution of ice particles in clouds. Thecharacterization is based on measured and modeled elevation dependencies ofthe polarimetric parameters differential reflectivity and correlationcoefficient. The polarimetric data are obtained using a newly developed35 GHz cloud radar MIRA-35 with hybrid polarimetric configuration andscanning capabilities. The full procedure chain of the technicalimplementation and the realization of the setup of the hybrid-mode cloudradar for the shape determination are presented. This includes thedescription of phase adjustments in the transmitting paths, the introductionof the general data processing scheme, correction of the data for thedifferences of amplifications and electrical path lengths in the transmittingand receiving channels, the rotation of the polarization basis by45°, the correction of antenna effects on polarimetric measurements,the determination of spectral polarimetric variables, and the formulation ofa scheme to increase the signal-to-noise ratio. Modeling of the polarimetricvariables is based on existing back-scattering models assuming the spheroidalrepresentation of cloud scatterers. The parameters retrieved from the modelare polarizability ratio and degree of orientation, which can be assigned tocertain particle orientations and shapes. The developed algorithm is appliedto a measurement of the hybrid-mode cloud radar taken on 20 October 2014 inCabauw, the Netherlands, in the framework of the ACCEPT (Analysis of theComposition of Clouds with Extended Polarization Techniques) campaign. Thecase study shows the retrieved polarizability ratio and degree of orientationof ice particles for a cloud system of three cloud layers at differentheights. Retrieved polarizability ratios are 0.43, 0.85, and 1.5 whichcorrespond to oblate, quasi-spherical, and columnar ice particles,respectively. It is shown that the polarizability ratio is useful for thedetection of aggregation/riming processes. The orientation of oblate andprolate particles is estimated to be close to horizontal whilequasi-spherical particles were found to be more randomly oriented.
机译:本文致力于对云中冰粒的形状和取向分布进行实验定量表征。该表征基于极化参数微分反射率和相关系数的测量和建模仰角依赖性。极化数据是使用具有混合极化配置和扫描功能的最新开发的35 GHz云雷达MIRA-35获得的。介绍了用于形状确定的混合模式云雷达技术实现的完整过程链和实现。这包括描述发射路径中的相位调整,引入通用数据处理方案,针对数据的校正来校正发射和接收通道中放大倍数和电路径长度的差异,极化基础旋转45°,天线校正对极化测量的影响,光谱极化变量的确定以及增加信噪比的方案的制定。极化变量的建模基于现有的反向散射模型,假设云散射体为球体表示。从模型中检索到的参数是极化率和取向度,可以分配这些参数来确定粒子的取向和形状。在ACCEPT(使用扩展偏振技术的云组成分析)活动的框架下,将开发的算法应用于2014年10月20日在荷兰的卡波夫进行的混合模式云雷达的测量。案例研究显示了不同高度的三层云层的云系统的冰粒极化率和取向度。检索到的极化率分别为0.43、0.85和1.5,分别对应于扁形,准球形和柱状冰粒。结果表明,极化率可用于检测聚集/边缘化过程。扁圆形和扁圆形颗粒的取向估计接近于水平,而准球形颗粒的取向更随机。

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