Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition

SWE is the amount of water contained within the snowpack. To determine SWE, the snow depth and density are required. Snow depth (HS) is related to SWE by the local bulk density of snow (ρb): SWE = HS ρb / ρw, where HS is measured in mm, ρb in kg m−3, ρw is the density of water (1000 kg m−3), and SWE...

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Main Authors: Macfarlane, Amy R, Schneebeli, Martin, Dadic, Ruzica, Wagner, David N, Arndt, Stefanie, Clemens-Sewall, David, Hämmerle, Stefan, Hannula, Henna-Reetta, Jaggi, Matthias, Kolabutin, Nikolai, Krampe, Daniela, Lehning, Michael, Matero, Ilkka, Nicolaus, Marcel, Oggier, Marc, Pirazzini, Roberta, Polashenski, Chris, Raphael, Ian, Regnery, Julia, Shimanchuck, Egor, Smith, Madison M, Tavri, Aikaterini
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.940199
https://doi.org/10.1594/PANGAEA.940199
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.940199
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.940199 2024-09-15T17:54:22+00:00 Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition Macfarlane, Amy R Schneebeli, Martin Dadic, Ruzica Wagner, David N Arndt, Stefanie Clemens-Sewall, David Hämmerle, Stefan Hannula, Henna-Reetta Jaggi, Matthias Kolabutin, Nikolai Krampe, Daniela Lehning, Michael Matero, Ilkka Nicolaus, Marcel Oggier, Marc Pirazzini, Roberta Polashenski, Chris Raphael, Ian Regnery, Julia Shimanchuck, Egor Smith, Madison M Tavri, Aikaterini MEDIAN LATITUDE: 86.085146 * MEDIAN LONGITUDE: 77.105603 * SOUTH-BOUND LATITUDE: 79.187972 * WEST-BOUND LONGITUDE: -2.590231 * NORTH-BOUND LATITUDE: 89.087780 * EAST-BOUND LONGITUDE: 128.146859 * DATE/TIME START: 2019-10-25T01:15:00 * DATE/TIME END: 2020-09-30T08:13:24 2022 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 29.9 kBytes https://doi.pangaea.de/10.1594/PANGAEA.940199 https://doi.org/10.1594/PANGAEA.940199 en eng PANGAEA https://doi.org/10.1594/PANGAEA.935934 https://doi.pangaea.de/10.1594/PANGAEA.940199 https://doi.org/10.1594/PANGAEA.940199 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Arctic Ocean Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE MOSAiC MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Polarstern PS122/1 PS122/1_10-11 PS122/1_10-18 PS122/1_10-5 PS122/1_10-50 PS122/1_10-58 PS122/1_10-70 PS122/1_10-71 PS122/1_10-72 PS122/1_11-23 PS122/1_4-10 PS122/1_5-28 PS122/1_5-35 PS122/1_5-5 PS122/1_6-146 PS122/1_6-147 PS122/1_6-30 PS122/1_6-5 PS122/1_6-6 PS122/1_6-75 PS122/1_7-129 PS122/1_7-32 PS122/1_7-33 PS122/1_7-34 PS122/1_7-35 PS122/1_7-36 PS122/1_7-37 PS122/1_7-38 PS122/1_7-5 PS122/1_7-68 PS122/1_7-69 PS122/1_7-70 PS122/1_7-71 PS122/1_7-72 PS122/1_7-73 PS122/1_7-8 PS122/1_7-87 PS122/1_7-88 PS122/1_8-27 PS122/1_8-29 PS122/1_8-30 PS122/1_8-31 PS122/1_8-32 dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94019910.1594/PANGAEA.935934 2024-07-24T02:31:43Z SWE is the amount of water contained within the snowpack. To determine SWE, the snow depth and density are required. Snow depth (HS) is related to SWE by the local bulk density of snow (ρb): SWE = HS ρb / ρw, where HS is measured in mm, ρb in kg m−3, ρw is the density of water (1000 kg m−3), and SWE is measured in mm of water equivalent. At each snowpit, the ETH-SWE tube, was inserted into the snow vertically and then sealed at the bottom. The weight of the snow inside the cylindrical tube was then measured with a spring scale. If the snow cover is deeper than 0.45 m (height of the tube), then the SWE must be measured in several steps, using a ruler to note the snow height that the sample was taken from. The total water equivalent of the snow cover must be calculated as the sum of the vertically aligned samples. This dataset records the individual sample measurements, explaining why there may be multiple data entries for one snowpit event. We also measured the height of snow in each measurement, so we can back-calculate the snow density using an independent method. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5). Dataset Arctic Ocean PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-2.590231,128.146859,89.087780,79.187972)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_10-11
PS122/1_10-18
PS122/1_10-5
PS122/1_10-50
PS122/1_10-58
PS122/1_10-70
PS122/1_10-71
PS122/1_10-72
PS122/1_11-23
PS122/1_4-10
PS122/1_5-28
PS122/1_5-35
PS122/1_5-5
PS122/1_6-146
PS122/1_6-147
PS122/1_6-30
PS122/1_6-5
PS122/1_6-6
PS122/1_6-75
PS122/1_7-129
PS122/1_7-32
PS122/1_7-33
PS122/1_7-34
PS122/1_7-35
PS122/1_7-36
PS122/1_7-37
PS122/1_7-38
PS122/1_7-5
PS122/1_7-68
PS122/1_7-69
PS122/1_7-70
PS122/1_7-71
PS122/1_7-72
PS122/1_7-73
PS122/1_7-8
PS122/1_7-87
PS122/1_7-88
PS122/1_8-27
PS122/1_8-29
PS122/1_8-30
PS122/1_8-31
PS122/1_8-32
spellingShingle Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_10-11
PS122/1_10-18
PS122/1_10-5
PS122/1_10-50
PS122/1_10-58
PS122/1_10-70
PS122/1_10-71
PS122/1_10-72
PS122/1_11-23
PS122/1_4-10
PS122/1_5-28
PS122/1_5-35
PS122/1_5-5
PS122/1_6-146
PS122/1_6-147
PS122/1_6-30
PS122/1_6-5
PS122/1_6-6
PS122/1_6-75
PS122/1_7-129
PS122/1_7-32
PS122/1_7-33
PS122/1_7-34
PS122/1_7-35
PS122/1_7-36
PS122/1_7-37
PS122/1_7-38
PS122/1_7-5
PS122/1_7-68
PS122/1_7-69
PS122/1_7-70
PS122/1_7-71
PS122/1_7-72
PS122/1_7-73
PS122/1_7-8
PS122/1_7-87
PS122/1_7-88
PS122/1_8-27
PS122/1_8-29
PS122/1_8-30
PS122/1_8-31
PS122/1_8-32
Macfarlane, Amy R
Schneebeli, Martin
Dadic, Ruzica
Wagner, David N
Arndt, Stefanie
Clemens-Sewall, David
Hämmerle, Stefan
Hannula, Henna-Reetta
Jaggi, Matthias
Kolabutin, Nikolai
Krampe, Daniela
Lehning, Michael
Matero, Ilkka
Nicolaus, Marcel
Oggier, Marc
Pirazzini, Roberta
Polashenski, Chris
Raphael, Ian
Regnery, Julia
Shimanchuck, Egor
Smith, Madison M
Tavri, Aikaterini
Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
topic_facet Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_10-11
PS122/1_10-18
PS122/1_10-5
PS122/1_10-50
PS122/1_10-58
PS122/1_10-70
PS122/1_10-71
PS122/1_10-72
PS122/1_11-23
PS122/1_4-10
PS122/1_5-28
PS122/1_5-35
PS122/1_5-5
PS122/1_6-146
PS122/1_6-147
PS122/1_6-30
PS122/1_6-5
PS122/1_6-6
PS122/1_6-75
PS122/1_7-129
PS122/1_7-32
PS122/1_7-33
PS122/1_7-34
PS122/1_7-35
PS122/1_7-36
PS122/1_7-37
PS122/1_7-38
PS122/1_7-5
PS122/1_7-68
PS122/1_7-69
PS122/1_7-70
PS122/1_7-71
PS122/1_7-72
PS122/1_7-73
PS122/1_7-8
PS122/1_7-87
PS122/1_7-88
PS122/1_8-27
PS122/1_8-29
PS122/1_8-30
PS122/1_8-31
PS122/1_8-32
description SWE is the amount of water contained within the snowpack. To determine SWE, the snow depth and density are required. Snow depth (HS) is related to SWE by the local bulk density of snow (ρb): SWE = HS ρb / ρw, where HS is measured in mm, ρb in kg m−3, ρw is the density of water (1000 kg m−3), and SWE is measured in mm of water equivalent. At each snowpit, the ETH-SWE tube, was inserted into the snow vertically and then sealed at the bottom. The weight of the snow inside the cylindrical tube was then measured with a spring scale. If the snow cover is deeper than 0.45 m (height of the tube), then the SWE must be measured in several steps, using a ruler to note the snow height that the sample was taken from. The total water equivalent of the snow cover must be calculated as the sum of the vertically aligned samples. This dataset records the individual sample measurements, explaining why there may be multiple data entries for one snowpit event. We also measured the height of snow in each measurement, so we can back-calculate the snow density using an independent method. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
format Dataset
author Macfarlane, Amy R
Schneebeli, Martin
Dadic, Ruzica
Wagner, David N
Arndt, Stefanie
Clemens-Sewall, David
Hämmerle, Stefan
Hannula, Henna-Reetta
Jaggi, Matthias
Kolabutin, Nikolai
Krampe, Daniela
Lehning, Michael
Matero, Ilkka
Nicolaus, Marcel
Oggier, Marc
Pirazzini, Roberta
Polashenski, Chris
Raphael, Ian
Regnery, Julia
Shimanchuck, Egor
Smith, Madison M
Tavri, Aikaterini
author_facet Macfarlane, Amy R
Schneebeli, Martin
Dadic, Ruzica
Wagner, David N
Arndt, Stefanie
Clemens-Sewall, David
Hämmerle, Stefan
Hannula, Henna-Reetta
Jaggi, Matthias
Kolabutin, Nikolai
Krampe, Daniela
Lehning, Michael
Matero, Ilkka
Nicolaus, Marcel
Oggier, Marc
Pirazzini, Roberta
Polashenski, Chris
Raphael, Ian
Regnery, Julia
Shimanchuck, Egor
Smith, Madison M
Tavri, Aikaterini
author_sort Macfarlane, Amy R
title Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
title_short Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
title_full Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
title_fullStr Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
title_full_unstemmed Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition
title_sort snowpit snow water equivalent collected with an eth tube during the mosaic expedition
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.940199
https://doi.org/10.1594/PANGAEA.940199
op_coverage MEDIAN LATITUDE: 86.085146 * MEDIAN LONGITUDE: 77.105603 * SOUTH-BOUND LATITUDE: 79.187972 * WEST-BOUND LONGITUDE: -2.590231 * NORTH-BOUND LATITUDE: 89.087780 * EAST-BOUND LONGITUDE: 128.146859 * DATE/TIME START: 2019-10-25T01:15:00 * DATE/TIME END: 2020-09-30T08:13:24
long_lat ENVELOPE(-2.590231,128.146859,89.087780,79.187972)
genre Arctic Ocean
genre_facet Arctic Ocean
op_relation https://doi.org/10.1594/PANGAEA.935934
https://doi.pangaea.de/10.1594/PANGAEA.940199
https://doi.org/10.1594/PANGAEA.940199
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.94019910.1594/PANGAEA.935934
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