Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
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.
In: Geosciences (Switzerland), Vol. 13, No. 7, 205, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study
AU - Kaasik, Marko
AU - Meinander, Outi
AU - Leppänen, Leena
AU - Anttila, Kati
AU - Dagsson-Waldhauserova, Pavla
AU - Ginnerup, Anders
AU - Hampinen, Timo
AU - Liu, Yijing
AU - Gunnarsson, Andri
AU - Langley, Kirsty
AU - Arslan, Ali Nadir
N1 - Publisher Copyright: © 2023 by the authors.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - snow cover
KW - snow sampling
KW - snow water equivalent
KW - tube sampler
U2 - 10.3390/geosciences13070205
DO - 10.3390/geosciences13070205
M3 - Journal article
AN - SCOPUS:85166315277
VL - 13
JO - Geosciences
JF - Geosciences
SN - 2076-3263
IS - 7
M1 - 205
ER -
ID: 362063974