Creator/Principal investigator(s)
Thomas Kuhn
- Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering
Description
Accurate predictions of snowfall require good knowledge of the microphysical properties of the snow ice crystals and particles. Shape is an important parameter as it influences strongly the scattering properties of the ice particles, and thus their response to remote sensing techniques such as radar measurements.
The fall speed of ice particles is another important parameter for both numerical forecast models as well as representation of ice clouds and snow in climate models, as it is responsible for the rate of removal of ice from these models.
A new ground-based in-situ instrument, the Dual Ice Crystal Imager (D-ICI), has been developed to determine snow ice crystal properties and fall speed simultaneously. The instrument takes two high-resolution pictures of the same falling ice particle from two different viewing directions.
Both cameras use a microscope-like set-up resulting in an image pixel resolution of approximately 4μm/pixel. One viewing direction is horizontal and is used to determine fall speed by means of a double exposure. For this purpose, two bright flashes of a light-emitting
Language
English
Research principal
Responsible department/unit
Department of Computer Science, Electrical and Space Engineering
Data contains personal data
No
Time period(s) investigated
2014-10-19 – 2014-10-19
Geographic spread
Geographic location: Sweden, Kiruna Municipality, Norrbotten Province
Research area
Natural Sciences, Earth and Related Environmental Sciences
(The Swedish standard of fields of research 2011)
Climatology / Meteorology / Atmosphere
(INSPIRE topic categories)
Keywords
snow, atmospheric conditions, snow crystals, snow fall, snow fall speed
Vázquez-Martín, S., Kuhn, T., & Eliasson, S. (2020). Shape Dependence of Falling Snow Crystals’ Microphysical Properties Using an Updated Shape Classification. Applied Sciences, 10(3), Article 1163. https://doi.org/10.3390/app10031163
Link to full text
URN:
urn:nbn:se:ltu:diva-78099
DOI:
https://doi.org/10.3390/app10031163
Kuhn, T., & Vázquez-Martín, S. (2020). Microphysical properties and fall speed measurements of snow ice crystals using the Dual Ice Crystal Imager (D-ICI). Atmospheric Measurement Techniques, 13, 1273–1285. https://doi.org/10.5194/amt-13-1273-2020
Link to full text
URN:
urn:nbn:se:ltu:diva-78097
DOI:
https://doi.org/10.5194/amt-13-1273-2020
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Description
The data consist of images of individual snow crystals or snowflakes taken by the two cameras of D-ICI. Images from the top-view camera are in the folder named "20141018_180609_top" and the side-view images in the folder "20141018_180728_side". The folder of top-view images contains a subfolder called "detected" that contains results from image processing to detect particles and determine their edge, size (maximum dimension), and cross-sectional area (area inside boundary). These results consist
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https://doi.org/10.5878/rhwc-7093
Citation
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Data format / data structure
Numeric
Still image
Creator/Principal investigator(s)
Thomas Kuhn
- Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering
Time period(s) investigated
2014-10-19 – 2014-10-19
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