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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Language: | English |
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PANGAEA
2022
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.940199 https://doi.org/10.1594/PANGAEA.940199 |
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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 |
_version_ |
1810430676012367872 |