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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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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 µm ≤ D ≤ 700 µm and 20 µm ≤ D ≤ 700 µm for droplets and ice particles, respectively. The functionality of these methods is demonstrated in three representative case studies.
机译：用于在混合相云实地观测的一个主要挑战仍然是相位鉴别和云hydrometeors.In施胶这项工作中，我们提出了一种新方法，用于确定个人云水凝物基于由使用它们的角光散射行为相所述PHIPS（颗粒习惯影像与极地散射）空降云探针。鉴相算法是基于显着特征在球面和非球面微粒的角散射功能的差异。该算法被校准，并且使用较大的数据在与手动分类颗粒的算法的北极和南Ocean.Comparison原位飞机活动2期间设置收集表明评价，我们可以用98％的准确度球面和非球面颗粒之间自信判别。此外，我们提出了一种方法，用于基于单粒子角散射数据在从100微米≤d≤700微米和20的尺寸范围内的颗粒的粒度分布微米≤d≤700微米，用于分别滴和冰粒。这些方法的功能表现在三个有代表性的案例研究。

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