Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification
We present ground-based in situ snow measurements in Kiruna, Sweden, using the ground-based in situ instrument Dual Ice Crystal Imager (D-ICI). D-ICI records dual high-resolution images from above and from the side of falling natural snow crystals and other hydrometeors with particle sizes ranging f...
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Atmosfärisk fjärranalys
2020
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ftsmhi:oai:DiVA.org:smhi-5682 2023-05-15T17:04:15+02:00 Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification Vazquez-Martin, Sandra Kuhn, Thomas Eliasson, Salomon 2020 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5682 https://doi.org/10.3390/app10031163 eng eng Atmosfärisk fjärranalys Applied Sciences, 2020, 10:3, http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5682 doi:10.3390/app10031163 ISI:000525305900434 info:eu-repo/semantics/openAccess Meteorology and Atmospheric Sciences Meteorologi och atmosfärforskning Article in journal info:eu-repo/semantics/article text 2020 ftsmhi https://doi.org/10.3390/app10031163 2022-12-09T10:06:10Z We present ground-based in situ snow measurements in Kiruna, Sweden, using the ground-based in situ instrument Dual Ice Crystal Imager (D-ICI). D-ICI records dual high-resolution images from above and from the side of falling natural snow crystals and other hydrometeors with particle sizes ranging from 50 mu m to 4 mm. The images are from multiple snowfall seasons during the winters of 2014/2015 to 2018/2019, which span from the beginning of November to the middle of May. From our images, the microphysical properties of individual particles, such as particle size, cross-sectional area, area ratio, aspect ratio, and shape, can be determined. We present an updated classification scheme, which comprises a total of 135 unique shapes, including 34 new snow crystal shapes. This is useful for other studies that are using previous shape classification schemes, in particular the widely used Magono-Lee classification. To facilitate the study of the shape dependence of the microphysical properties, we further sort these individual particle shapes into 15 different shape groups. Relationships between the microphysical properties are determined for each of these shape groups. Article in Journal/Newspaper Kiruna SMHI (Swedish Meteorological and Hydrological Institute): Vetenskapliga Publikationer (DiVA) Kiruna Applied Sciences 10 3 1163 |
institution |
Open Polar |
collection |
SMHI (Swedish Meteorological and Hydrological Institute): Vetenskapliga Publikationer (DiVA) |
op_collection_id |
ftsmhi |
language |
English |
topic |
Meteorology and Atmospheric Sciences Meteorologi och atmosfärforskning |
spellingShingle |
Meteorology and Atmospheric Sciences Meteorologi och atmosfärforskning Vazquez-Martin, Sandra Kuhn, Thomas Eliasson, Salomon Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
topic_facet |
Meteorology and Atmospheric Sciences Meteorologi och atmosfärforskning |
description |
We present ground-based in situ snow measurements in Kiruna, Sweden, using the ground-based in situ instrument Dual Ice Crystal Imager (D-ICI). D-ICI records dual high-resolution images from above and from the side of falling natural snow crystals and other hydrometeors with particle sizes ranging from 50 mu m to 4 mm. The images are from multiple snowfall seasons during the winters of 2014/2015 to 2018/2019, which span from the beginning of November to the middle of May. From our images, the microphysical properties of individual particles, such as particle size, cross-sectional area, area ratio, aspect ratio, and shape, can be determined. We present an updated classification scheme, which comprises a total of 135 unique shapes, including 34 new snow crystal shapes. This is useful for other studies that are using previous shape classification schemes, in particular the widely used Magono-Lee classification. To facilitate the study of the shape dependence of the microphysical properties, we further sort these individual particle shapes into 15 different shape groups. Relationships between the microphysical properties are determined for each of these shape groups. |
format |
Article in Journal/Newspaper |
author |
Vazquez-Martin, Sandra Kuhn, Thomas Eliasson, Salomon |
author_facet |
Vazquez-Martin, Sandra Kuhn, Thomas Eliasson, Salomon |
author_sort |
Vazquez-Martin, Sandra |
title |
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
title_short |
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
title_full |
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
title_fullStr |
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
title_full_unstemmed |
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification |
title_sort |
shape dependence of falling snow crystals' microphysical properties using an updated shape classification |
publisher |
Atmosfärisk fjärranalys |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5682 https://doi.org/10.3390/app10031163 |
geographic |
Kiruna |
geographic_facet |
Kiruna |
genre |
Kiruna |
genre_facet |
Kiruna |
op_relation |
Applied Sciences, 2020, 10:3, http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5682 doi:10.3390/app10031163 ISI:000525305900434 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/app10031163 |
container_title |
Applied Sciences |
container_volume |
10 |
container_issue |
3 |
container_start_page |
1163 |
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1766058308974673920 |