Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar

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...

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Bibliographic Details
Main Author: Kuhn, Thomas
Format: Dataset
Language:Swedish
Published: Swedish National Data Service 2019
Subjects:
Online Access:https://doi.org/10.5878/rhwc-7093
id ftcessda:6969dcabfac7b1a21a148cfa631246bfbc6a79f55c26aa0094b65c7f4d2dae7b
record_format openpolar
spelling ftcessda:6969dcabfac7b1a21a148cfa631246bfbc6a79f55c26aa0094b65c7f4d2dae7b 2023-07-16T03:59:23+02:00 Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar Kuhn, Thomas Sweden Sverige 2019-10-31 https://doi.org/10.5878/rhwc-7093 sv swe Swedish National Data Service Svensk nationell datatjänst https://doi.org/10.5878/rhwc-7093 snd1129-1-1.0 snow snö Atmospheric conditions Atmosfäriska förhållanden water matrix entity object of interest Dataset 2019 ftcessda https://doi.org/10.5878/rhwc-7093 2023-06-27T23:02:57Z 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 diode behind the camera illuminate the falling ice particle and create this double exposure and the vertical displacement of the particle provides its fall speed. The other viewing direction is close to vertical and is used to provide size and shape information from single-exposure images. This viewing geometry is chosen instead of a horizontal one because shape and size of ice particles as viewed in the vertical direction are more relevant than these properties viewed horizontally as the vertical fall speed is more strongly influenced by the vertically viewed properties. In addition, a comparison with remote sensing instruments that mostly have a vertical or close to vertical viewing geometry is favoured when the particle properties are measured in the same direction. The instrument has been tested in Kiruna, northern Sweden (67.8N, 20.4E). First measurements from 2014-10-19 are presented with images and determined snow ... Dataset Kiruna Northern Sweden CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives) Kiruna New Ground ENVELOPE(-55.215,-55.215,49.567,49.567)
institution Open Polar
collection CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives)
op_collection_id ftcessda
language Swedish
topic snow
snö
Atmospheric conditions
Atmosfäriska förhållanden
water
matrix
entity
object of interest
spellingShingle snow
snö
Atmospheric conditions
Atmosfäriska förhållanden
water
matrix
entity
object of interest
Kuhn, Thomas
Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
topic_facet snow
snö
Atmospheric conditions
Atmosfäriska förhållanden
water
matrix
entity
object of interest
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 diode behind the camera illuminate the falling ice particle and create this double exposure and the vertical displacement of the particle provides its fall speed. The other viewing direction is close to vertical and is used to provide size and shape information from single-exposure images. This viewing geometry is chosen instead of a horizontal one because shape and size of ice particles as viewed in the vertical direction are more relevant than these properties viewed horizontally as the vertical fall speed is more strongly influenced by the vertically viewed properties. In addition, a comparison with remote sensing instruments that mostly have a vertical or close to vertical viewing geometry is favoured when the particle properties are measured in the same direction. The instrument has been tested in Kiruna, northern Sweden (67.8N, 20.4E). First measurements from 2014-10-19 are presented with images and determined snow ...
format Dataset
author Kuhn, Thomas
author_facet Kuhn, Thomas
author_sort Kuhn, Thomas
title Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
title_short Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
title_full Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
title_fullStr Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
title_full_unstemmed Dual Ice Crystal Imager (D-ICI): bilder av snöpartiklar från Kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
title_sort dual ice crystal imager (d-ici): bilder av snöpartiklar från kiruna den 2014-10-19 med storlek, yta, och fallhastighetsmätningar
publisher Swedish National Data Service
publishDate 2019
url https://doi.org/10.5878/rhwc-7093
op_coverage Sweden
Sverige
long_lat ENVELOPE(-55.215,-55.215,49.567,49.567)
geographic Kiruna
New Ground
geographic_facet Kiruna
New Ground
genre Kiruna
Northern Sweden
genre_facet Kiruna
Northern Sweden
op_relation https://doi.org/10.5878/rhwc-7093
snd1129-1-1.0
op_doi https://doi.org/10.5878/rhwc-7093
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