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

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...

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Main Authors: Waitz, Fritz, Schnaiter, Martin, Leisner, Thomas, Järvinen, Emma
Format: Text
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://dx.doi.org/10.5445/ir/1000133191
https://publikationen.bibliothek.kit.edu/1000133191
id ftdatacite:10.5445/ir/1000133191
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spelling ftdatacite:10.5445/ir/1000133191 2023-05-15T15:06:30+02:00 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 Waitz, Fritz Schnaiter, Martin Leisner, Thomas Järvinen, Emma 2021 PDF https://dx.doi.org/10.5445/ir/1000133191 https://publikationen.bibliothek.kit.edu/1000133191 en eng Copernicus Publications Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de CC-BY Text article-journal Journal Article ScholarlyArticle 2021 ftdatacite https://doi.org/10.5445/ir/1000133191 2021-11-05T12:55:41Z 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. Text Arctic Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description 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.
format Text
author Waitz, Fritz
Schnaiter, Martin
Leisner, Thomas
Järvinen, Emma
spellingShingle Waitz, Fritz
Schnaiter, Martin
Leisner, Thomas
Järvinen, Emma
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
author_facet Waitz, Fritz
Schnaiter, Martin
Leisner, Thomas
Järvinen, Emma
author_sort Waitz, Fritz
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Copernicus Publications
publishDate 2021
url https://dx.doi.org/10.5445/ir/1000133191
https://publikationen.bibliothek.kit.edu/1000133191
geographic Arctic
Southern Ocean
geographic_facet Arctic
Southern Ocean
genre Arctic
Southern Ocean
genre_facet Arctic
Southern Ocean
op_rights Creative Commons Namensnennung 4.0 International
Open Access
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/deed.de
op_rightsnorm CC-BY
op_doi https://doi.org/10.5445/ir/1000133191
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