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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ftdoajarticles:oai:doaj.org/article:b597bc805b164f9cbdd7ee6cf9751c21 2023-05-15T15:07:17+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 F. Waitz M. Schnaiter T. Leisner E. Järvinen 2021-04-01T00:00:00Z https://doi.org/10.5194/amt-14-3049-2021 https://doaj.org/article/b597bc805b164f9cbdd7ee6cf9751c21 EN eng Copernicus Publications https://amt.copernicus.org/articles/14/3049/2021/amt-14-3049-2021.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-14-3049-2021 1867-1381 1867-8548 https://doaj.org/article/b597bc805b164f9cbdd7ee6cf9751c21 Atmospheric Measurement Techniques, Vol 14, Pp 3049-3070 (2021) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2021 ftdoajarticles https://doi.org/10.5194/amt-14-3049-2021 2022-12-31T04:52:53Z 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. Article in Journal/Newspaper Arctic Southern Ocean Directory of Open Access Journals: DOAJ Articles Arctic Southern Ocean Atmospheric Measurement Techniques 14 4 3049 3070 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 F. Waitz M. Schnaiter T. Leisner E. Järvinen 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 |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
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 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. |
format |
Article in Journal/Newspaper |
author |
F. Waitz M. Schnaiter T. Leisner E. Järvinen |
author_facet |
F. Waitz M. Schnaiter T. Leisner E. Järvinen |
author_sort |
F. Waitz |
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://doi.org/10.5194/amt-14-3049-2021 https://doaj.org/article/b597bc805b164f9cbdd7ee6cf9751c21 |
geographic |
Arctic Southern Ocean |
geographic_facet |
Arctic Southern Ocean |
genre |
Arctic Southern Ocean |
genre_facet |
Arctic Southern Ocean |
op_source |
Atmospheric Measurement Techniques, Vol 14, Pp 3049-3070 (2021) |
op_relation |
https://amt.copernicus.org/articles/14/3049/2021/amt-14-3049-2021.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-14-3049-2021 1867-1381 1867-8548 https://doaj.org/article/b597bc805b164f9cbdd7ee6cf9751c21 |
op_doi |
https://doi.org/10.5194/amt-14-3049-2021 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
14 |
container_issue |
4 |
container_start_page |
3049 |
op_container_end_page |
3070 |
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1766338819423993856 |