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

SND-ID: SND 1129

Description Data and documentation

Creator/Principal investigator(s)

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

... Show more..

Language

English

Research principal, contributors, and funding

Research principal

Luleå University of Technology

Funding

  • Funding agency: The Kempe Foundations
Protection and ethical review

Data contains personal data

No

Method

Time period(s) investigated

2014-10-19–2014-10-19

Geographic coverage

Geographic spread

Geographic location: Sweden, Kiruna Municipality, Norrbotten Province

Publications

Sort by name | Sort by year

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

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

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

Download data

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

... Show more..

Version 1.0

Citation

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

Download citation

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 orcid

Time period(s) investigated

2014-10-19–2014-10-19

License

Creative Commons  Attribution 4.0 International (CC BY 4.0)
Published: 2020-03-16
Last updated: 2021-03-26