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首页> 外文期刊>Atmosphere >Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods and Polarimetric Radar
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Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods and Polarimetric Radar

机译：使用多角度雪花相机，视觉船体，先进的散射方法和极化雷达对冬季降水进行准确表征

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This article proposes and presents a novel approach to the characterization of winter precipitation and modeling of radar observables through a synergistic use of advanced optical disdrometers for microphysical and geometrical measurements of ice and snow particles (in particular, a multi-angle snowflake camera—MASC), image processing methodology, advanced method-of-moments scattering computations, and state-of-the-art polarimetric radars. The article also describes the newly built and established MASCRAD (MASC + Radar) in-situ measurement site, under the umbrella of CSU-CHILL Radar, as well as the MASCRAD project and 2014/2015 winter campaign. We apply a visual hull method to reconstruct 3D shapes of ice particles based on high-resolution MASC images, and perform “particle-by-particle” scattering computations to obtain polarimetric radar observables. The article also presents and discusses selected illustrative observation data, results, and analyses for three cases with widely-differing meteorological settings that involve contrasting hydrometeor forms. Illustrative results of scattering calculations based on MASC images captured during these events, in comparison with radar data, as well as selected comparative studies of snow habits from MASC, 2D video-disdrometer, and CHILL radar data, are presented, along with the analysis of microphysical characteristics of particles. In the longer term, this work has potential to significantly improve the radar-based quantitative winter-precipitation estimation.
机译：本文提出并提出了一种新颖的方法，通过协同使用先进的光学测速仪对冰和雪颗粒进行微物理和几何测量（特别是多角度雪花照相机MASC），来描述冬季降水的特征和雷达可观测物的建模。 ，图像处理方法，先进的矩量法散射计算以及最新的极化雷达。本文还介绍了在CSU-CHILL Radar的保护下新建和建立的MASCRAD（MASC +雷达）现场测量站点，以及MASCRAD项目和2014/2015冬季运动。我们应用视觉船体方法基于高分辨率MASC图像重建冰粒子的3D形状，并执行“逐粒子”散射计算以获得极化雷达观测值。本文还介绍并讨论了三种情况下选定的示例性观测数据，结果和分析，其中三种情况的气象条件差异很大，涉及对比的水流星形式。与雷达数据相比，基于在这些事件中捕获的MASC图像的散射计算的说明性结果，以及从MASC，2D视频测距仪和CHILL雷达数据中选择的雪习比较研究，以及对微粒的微观物理特征。从长远来看，这项工作有可能显着改善基于雷达的冬季降水定量估计。

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