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首页> 外文期刊>Atmospheric Measurement Techniques >PHIPS-HALO: the airborne Particle Habit Imaging and Polar Scattering probe – Part 3: Single-particle phase discrimination and particle size distribution based on the angular-scattering function
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PHIPS-HALO: the airborne Particle Habit Imaging and Polar Scattering probe – Part 3: Single-particle phase discrimination and particle size distribution based on the angular-scattering function

机译:PHIPS-HALO:空中颗粒习惯成像和极性散射探头 - 第3部分:基于角度散射功能的单粒子相辨别和粒度分布

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摘要

A major challenge for in situ observations in mixed-phase clouds remains the phase discrimination and sizing of cloud hydrometeors. In this work, we present a new method for determining the phase of individual cloud hydrometeors based on their angular-light-scattering behavior employed by the PHIPS (Particle Habit Imaging and Polar Scattering) airborne cloud probe. The phase discrimination algorithm is based on the difference of distinct features in the angular-scattering function of spherical and aspherical particles. The algorithm is calibrated and evaluated using a large data set gathered during two in situ aircraft campaigns in the Arctic and Southern Ocean. Comparison of the algorithm with manually classified particles showed that we can confidently discriminate between spherical and aspherical particles with a 98?% accuracy. Furthermore, we present a method for deriving particle size distributions based on single-particle angular-scattering data for particles in a size range from 100? μ m? ≤ ? D ? ≤ ?700? μ m and 20? μ m? ≤ ? D ? ≤ ?700? μ m for droplets and ice particles, respectively. The functionality of these methods is demonstrated in three representative case studies.
机译:混合阶段云中原位观察的主要挑战仍然是云水质仪的相位辨别和尺寸。在这项工作中,我们提出了一种基于PHIPS(颗粒习惯成像和极性散射)空降云探针所采用的角度光散射行为来确定单个云水流仪的相位的新方法。相位辨别算法基于球形和非球面颗粒的角散射函数中的不同特征的差异。使用在北极和南部海洋的两种原位飞机运动中聚集的大数据集进行校准和评估。用手动分类粒子的算法的比较显示,我们可以自信地区分球形和非球面颗粒,精度为98Ω·倍。此外,我们提出了一种基于尺寸范围为100的单粒子角散射数据导出粒度分布的方法。 μM? ≤? D? ≤?700? μm和20? μM? ≤? D? ≤?700? μM分别用于液滴和冰颗粒。这些方法的功能在三个代表性案例研究中证明。

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