edu.ucar.opensky::articles:24386 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T06:30:03.494994 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7nc64mt https://doi.org/10.26023/8HMG-WQP3-XA0X https Related Dataset #1 NSF/NCAR GV HIAPER 2D-S Particle Size Distribution (PSD) Product Data. Version 1.1 https://doi.org/10.5065/D64J0CZS https Related Dataset #2 SOCRATES: NCAR HCR radar and HSRL lidar moments data. Version 3.2 https://doi.org/10.5065/D6639NKQ https Related Dataset #3 PHIPS-HALO Single Particle Data. Version 1.0 https://doi.org/10.5065/D6M32TM9 https Related Dataset #4 SOCRATES: Low Rate (LRT - 1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.3 https://doi.org/10.5281/zenodo.4321316 https Related Software #1 PHIPS_phase_discr.m 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 2021-04-27T00:00:00Z publication https://n2t.org/ark:/85065/d7nc64mt https://doi.org/10.5194/amt-14-3049-2021 Waitz, F. author Schnaiter, M. author Leisner, T. author Järvinen, Emma author UCAR/NCAR - Library publisher 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 mu m <= D <= 700 mu m and 20 mu m <= D <= 700 mu m for droplets and ice particles, respectively. The functionality of these methods is demonstrated in three representative case studies. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation