Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study

Snow sampling, either by inserting a tube through the entire snowpack or by taking samples from the vertical profile, is widely applied to measure the snow depth, density, and snow water equivalent (SWE). A comparative study of snow-sampling methods was carried out on 24 March 2022 in Sodankylä, Fin...

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Published in:Geosciences
Main Authors: Kaasik, Marko, Meinander, Outi, Leppänen, Leena, Anttila, Kati, Dagsson-Waldhauserova, Pavla, Ginnerup, Anders, Hampinen, Timo, Liu, Yijing, Gunnarsson, Andri, Langley, Kirsty, Arslan, Ali Nadir
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:https://curis.ku.dk/portal/da/publications/accuracy-of-manual-snow-sampling-depending-on-the-samplers-crosssectiona-comparative-study(7badbbc7-4f30-4e73-bb7c-51950764500b).html
https://doi.org/10.3390/geosciences13070205
https://curis.ku.dk/ws/files/362064509/Accuracy_of_Manual_Snow_Sampling_Depending_on_the_Sampler_s_Cross_Section.pdf
id ftcopenhagenunip:oai:pure.atira.dk:publications/7badbbc7-4f30-4e73-bb7c-51950764500b
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spelling ftcopenhagenunip:oai:pure.atira.dk:publications/7badbbc7-4f30-4e73-bb7c-51950764500b 2024-06-09T07:46:28+00:00 Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study Kaasik, Marko Meinander, Outi Leppänen, Leena Anttila, Kati Dagsson-Waldhauserova, Pavla Ginnerup, Anders Hampinen, Timo Liu, Yijing Gunnarsson, Andri Langley, Kirsty Arslan, Ali Nadir 2023 application/pdf https://curis.ku.dk/portal/da/publications/accuracy-of-manual-snow-sampling-depending-on-the-samplers-crosssectiona-comparative-study(7badbbc7-4f30-4e73-bb7c-51950764500b).html https://doi.org/10.3390/geosciences13070205 https://curis.ku.dk/ws/files/362064509/Accuracy_of_Manual_Snow_Sampling_Depending_on_the_Sampler_s_Cross_Section.pdf eng eng info:eu-repo/semantics/openAccess Kaasik , M , Meinander , O , Leppänen , L , Anttila , K , Dagsson-Waldhauserova , P , Ginnerup , A , Hampinen , T , Liu , Y , Gunnarsson , A , Langley , K & Arslan , A N 2023 , ' Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study ' , Geosciences (Switzerland) , vol. 13 , no. 7 , 205 . https://doi.org/10.3390/geosciences13070205 snow cover snow sampling snow water equivalent tube sampler article 2023 ftcopenhagenunip https://doi.org/10.3390/geosciences13070205 2024-05-16T11:29:30Z Snow sampling, either by inserting a tube through the entire snowpack or by taking samples from the vertical profile, is widely applied to measure the snow depth, density, and snow water equivalent (SWE). A comparative study of snow-sampling methods was carried out on 24 March 2022 in Sodankylä, Finland. Six groups from five countries (Estonia, Finland, Greenland, Iceland, and Sweden) participated, using 12 different snow samplers, including 9 bulk tube samplers and 3 density cutters. The cross-sectional area of the SWE samplers varied from 11 to 100 cm 2 , while tube length varied from 30 cm to 100 cm. The cross-sectional area of the density profile cutters varied from 100 cm 2 to 200 cm 2 and the vertical sampling step varied from 5 cm to 10 cm. The samples were taken from snow pits in 55–65-centimeter-deep snow cover in a flat area with sparse pine trees, with the pits at a maximum distance of 10 m from each other. Each tube sampling series consisted of 3–10 vertical columns to ensure statistical validation. The snowpack was relatively soft, with two moderately hard crust layers. The density recorded in the tube sample measurements varied from 218 to 265 kgm −3 . The measurement results of SWE, however, varied depending on the sampling equipment used, ranging from 148 to 180 kgm −2 , with two outliers of 77 and 106 kgm −2 , both with 11 cm 2 samplers. Article in Journal/Newspaper Greenland Iceland Sodankylä University of Copenhagen: Research Greenland Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Geosciences 13 7 205
institution Open Polar
collection University of Copenhagen: Research
op_collection_id ftcopenhagenunip
language English
topic snow cover
snow sampling
snow water equivalent
tube sampler
spellingShingle snow cover
snow sampling
snow water equivalent
tube sampler
Kaasik, Marko
Meinander, Outi
Leppänen, Leena
Anttila, Kati
Dagsson-Waldhauserova, Pavla
Ginnerup, Anders
Hampinen, Timo
Liu, Yijing
Gunnarsson, Andri
Langley, Kirsty
Arslan, Ali Nadir
Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
topic_facet snow cover
snow sampling
snow water equivalent
tube sampler
description Snow sampling, either by inserting a tube through the entire snowpack or by taking samples from the vertical profile, is widely applied to measure the snow depth, density, and snow water equivalent (SWE). A comparative study of snow-sampling methods was carried out on 24 March 2022 in Sodankylä, Finland. Six groups from five countries (Estonia, Finland, Greenland, Iceland, and Sweden) participated, using 12 different snow samplers, including 9 bulk tube samplers and 3 density cutters. The cross-sectional area of the SWE samplers varied from 11 to 100 cm 2 , while tube length varied from 30 cm to 100 cm. The cross-sectional area of the density profile cutters varied from 100 cm 2 to 200 cm 2 and the vertical sampling step varied from 5 cm to 10 cm. The samples were taken from snow pits in 55–65-centimeter-deep snow cover in a flat area with sparse pine trees, with the pits at a maximum distance of 10 m from each other. Each tube sampling series consisted of 3–10 vertical columns to ensure statistical validation. The snowpack was relatively soft, with two moderately hard crust layers. The density recorded in the tube sample measurements varied from 218 to 265 kgm −3 . The measurement results of SWE, however, varied depending on the sampling equipment used, ranging from 148 to 180 kgm −2 , with two outliers of 77 and 106 kgm −2 , both with 11 cm 2 samplers.
format Article in Journal/Newspaper
author Kaasik, Marko
Meinander, Outi
Leppänen, Leena
Anttila, Kati
Dagsson-Waldhauserova, Pavla
Ginnerup, Anders
Hampinen, Timo
Liu, Yijing
Gunnarsson, Andri
Langley, Kirsty
Arslan, Ali Nadir
author_facet Kaasik, Marko
Meinander, Outi
Leppänen, Leena
Anttila, Kati
Dagsson-Waldhauserova, Pavla
Ginnerup, Anders
Hampinen, Timo
Liu, Yijing
Gunnarsson, Andri
Langley, Kirsty
Arslan, Ali Nadir
author_sort Kaasik, Marko
title Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
title_short Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
title_full Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
title_fullStr Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
title_full_unstemmed Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
title_sort accuracy of manual snow sampling, depending on the sampler’s cross-section—a comparative study
publishDate 2023
url https://curis.ku.dk/portal/da/publications/accuracy-of-manual-snow-sampling-depending-on-the-samplers-crosssectiona-comparative-study(7badbbc7-4f30-4e73-bb7c-51950764500b).html
https://doi.org/10.3390/geosciences13070205
https://curis.ku.dk/ws/files/362064509/Accuracy_of_Manual_Snow_Sampling_Depending_on_the_Sampler_s_Cross_Section.pdf
long_lat ENVELOPE(26.600,26.600,67.417,67.417)
geographic Greenland
Sodankylä
geographic_facet Greenland
Sodankylä
genre Greenland
Iceland
Sodankylä
genre_facet Greenland
Iceland
Sodankylä
op_source Kaasik , M , Meinander , O , Leppänen , L , Anttila , K , Dagsson-Waldhauserova , P , Ginnerup , A , Hampinen , T , Liu , Y , Gunnarsson , A , Langley , K & Arslan , A N 2023 , ' Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study ' , Geosciences (Switzerland) , vol. 13 , no. 7 , 205 . https://doi.org/10.3390/geosciences13070205
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/geosciences13070205
container_title Geosciences
container_volume 13
container_issue 7
container_start_page 205
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