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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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
Other Authors: orcid:0000-0001-6608-3951, orcid:0000-0003-1605-8306, orcid:0000-0003-1256-0163, Ilmatieteen laitos, Finnish Meteorological Institute
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
ice
Online Access:http://hdl.handle.net/10138/567477
id ftunivhelsihelda:oai:helda.helsinki.fi:10138/567477
record_format openpolar
spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/567477 2024-02-11T10:04:25+01:00 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 orcid:0000-0001-6608-3951 orcid:0000-0003-1605-8306 orcid:0000-0003-1256-0163 Ilmatieteen laitos Finnish Meteorological Institute 2023-11-22T15:03:44Z 205 application/pdf http://hdl.handle.net/10138/567477 en eng MDPI AG 10.3390/geosciences13070205 Geosciences 2076-3263 7 13 90455 http://hdl.handle.net/10138/567477 URN:NBN:fi-fe20231122148239 CC BY 4.0 snow measurement snow cover sampling (inspection) depth samples measuring methods ice lumi mittaus lumipeite näytteeonotto syvyys näytteet mittausmenetelmät jää A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä A1 Journal article (refereed), original research 2023 ftunivhelsihelda 2024-01-18T00:01:26Z 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 cm2, while tube length varied from 30 cm to 100 cm. The cross-sectional area of the density profile cutters varied from 100 cm2 to 200 cm2 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 cm2 samplers. Article in Journal/Newspaper Greenland Iceland Sodankylä HELDA – University of Helsinki Open Repository Greenland Sodankylä ENVELOPE(26.600,26.600,67.417,67.417)
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic snow
measurement
snow cover
sampling (inspection)
depth
samples
measuring methods
ice
lumi
mittaus
lumipeite
näytteeonotto
syvyys
näytteet
mittausmenetelmät
jää
spellingShingle snow
measurement
snow cover
sampling (inspection)
depth
samples
measuring methods
ice
lumi
mittaus
lumipeite
näytteeonotto
syvyys
näytteet
mittausmenetelmät
jää
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
measurement
snow cover
sampling (inspection)
depth
samples
measuring methods
ice
lumi
mittaus
lumipeite
näytteeonotto
syvyys
näytteet
mittausmenetelmät
jää
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 cm2, while tube length varied from 30 cm to 100 cm. The cross-sectional area of the density profile cutters varied from 100 cm2 to 200 cm2 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 cm2 samplers.
author2 orcid:0000-0001-6608-3951
orcid:0000-0003-1605-8306
orcid:0000-0003-1256-0163
Ilmatieteen laitos
Finnish Meteorological Institute
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
publisher MDPI AG
publishDate 2023
url http://hdl.handle.net/10138/567477
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_relation 10.3390/geosciences13070205
Geosciences
2076-3263
7
13
90455
http://hdl.handle.net/10138/567477
URN:NBN:fi-fe20231122148239
op_rights CC BY 4.0
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