Dual Ice Crystal Imager (D-ICI): images of snow particles, Kiruna, 2014

Creator/Principal investigator(s):

Thomas Kuhn - Luleå University of Technology orcid

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

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Responsible department/unit:

Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering

Creator/Principal investigator(s):

Thomas Kuhn - Luleå University of Technology orcid

Identifiers:

SND-ID: SND 1129

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

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Language:

English

Time period(s) investigated:

2014-10-19 — 2014-10-19

Geographic spread:

Funding:

The Kempe Foundations

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Publications

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Vázquez-Martín, S.; Kuhn, T.; Eliasson, S. Shape Dependence of Falling Snow Crystals’ Microphysical Properties Using an Updated Shape Classification. Appl. Sci. 2020, 10, 1163. https://doi.org/10.3390/app10031163
Link to full text
DOI: 10.3390/app10031163

Kuhn, T. and Vázquez-Martín, S.: Microphysical properties and fall speed measurements of snow ice crystals using the Dual Ice Crystal Imager (D-ICI), Atmos. Meas. Tech., 13, 1273–1285, https://doi.org/10.5194/amt-13-1273-2020, 2020.
Link to full text
DOI: 10.5194/amt-13-1273-2020

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License:

Creative Commons License

Dual Ice Crystal Imager (D-ICI): images of snow particles from Kiruna on 2014-10-19 with size, area, and fall speed measurements

Suggested citation:

Thomas Kuhn. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering (2019). Dual Ice Crystal Imager (D-ICI): images of snow particles from Kiruna on 2014-10-19 with size, area, and fall speed measurements. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/rhwc-7093

Creator/Principal investigator(s):

Thomas Kuhn - Luleå University of Technology orcid

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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Data format / data structure:

Numeric

Still image

Time period(s) investigated:

2014-10-19 — 2014-10-19

Published: 2020-03-16