Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Shape Dependence of Falling Snow Crystals' Microphysical Properties Using an Updated Shape Classification
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0002-1391-961X
2020 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 10, no 3, article id 1163Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2020. Vol. 10, no 3, article id 1163
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
URN: urn:nbn:se:smhi:diva-5682DOI: 10.3390/app10031163ISI: 000525305900434OAI: oai:DiVA.org:smhi-5682DiVA, id: diva2:1429930
Available from: 2020-05-13 Created: 2020-05-13 Last updated: 2020-05-13Bibliographically approved

Open Access in DiVA

fulltext(36372 kB)1 downloads
File information
File name FULLTEXT01.pdfFile size 36372 kBChecksum SHA-512
489ac096ced70484fa7a4d30f09bdf9d64f453de3445cdda1783ab491a649d55b0921b2c1b97f7cce7638d5db787699236e4b537883a521da5fd7ddbc9c982ba
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Eliasson, Salomon

Search in DiVA

By author/editor
Eliasson, Salomon
By organisation
Atmospheric remote sensing
In the same journal
Applied Sciences
Meteorology and Atmospheric Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 3 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf