Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition

At MOSAiC, we collected snow depths by Magnaprobe - an automated snow depth probe, throughout the seasons, most often alongside electromagnetic measurements for deriving total thickness. Most of the data were collected routinely along established transect lines and loops to create timeseries. Some d...

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Bibliographic Details
Main Authors: Itkin, Polona, Webster, Melinda, Hendricks, Stefan, Oggier, Marc, Jaggi, Matthias, Ricker, Robert, Arndt, Stefanie, Divine, Dmitry V, von Albedyll, Luisa, Raphael, Ian, Rohde, Jan, Liston, Glen E
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
ice
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.937781
https://doi.org/10.1594/PANGAEA.937781
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.937781
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.937781 2024-09-30T14:25:09+00:00 Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition Itkin, Polona Webster, Melinda Hendricks, Stefan Oggier, Marc Jaggi, Matthias Ricker, Robert Arndt, Stefanie Divine, Dmitry V von Albedyll, Luisa Raphael, Ian Rohde, Jan Liston, Glen E MEDIAN LATITUDE: 85.051667 * MEDIAN LONGITUDE: 54.376476 * SOUTH-BOUND LATITUDE: 79.364751 * WEST-BOUND LONGITUDE: -2.690920 * NORTH-BOUND LATITUDE: 89.140811 * EAST-BOUND LONGITUDE: 129.248093 * DATE/TIME START: 2019-10-24T05:18:00 * DATE/TIME END: 2020-09-30T09:41:00 * MINIMUM ELEVATION: -4425.4 m * MAXIMUM ELEVATION: -806.4 m 2021 text/tab-separated-values, 12 data points https://doi.pangaea.de/10.1594/PANGAEA.937781 https://doi.org/10.1594/PANGAEA.937781 en eng PANGAEA Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition. https://download.pangaea.de/reference/112309/attachments/Magnaprobe_Repository_Description.pdf (Data description) https://doi.pangaea.de/10.1594/PANGAEA.937781 https://doi.org/10.1594/PANGAEA.937781 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Arctic Arctic Ocean Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE Binary Object Binary Object (File Size) electromagnetic induction File content GEM-2 ice MAGNA magnaprobe MOSAiC MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate ocean Polarstern Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas PS122/1 PS122/1_10-59 PS122/1_4-1 PS122/1_5-27 PS122/1_6-50 PS122/1_7-62 PS122/1_8-58 PS122/1_9-54 PS122/2 PS122/2_16-83 PS122/2_16-84 PS122/2_17-113 PS122/2_18-80 PS122/2_19-101 PS122/2_19-103 PS122/2_19-107 PS122/2_19-110 PS122/2_19-113 PS122/2_19-139 PS122/2_20-124 PS122/2_20-43 PS122/2_20-95 PS122/2_20-98 PS122/2_21-140 PS122/2_21-141 PS122/2_21-142 PS122/2_22-92 PS122/2_22-94 PS122/2_23-62 PS122/2_23-90 PS122/2_24-69 dataset 2021 ftpangaea https://doi.org/10.1594/PANGAEA.937781 2024-09-03T23:52:03Z At MOSAiC, we collected snow depths by Magnaprobe - an automated snow depth probe, throughout the seasons, most often alongside electromagnetic measurements for deriving total thickness. Most of the data were collected routinely along established transect lines and loops to create timeseries. Some data were collected opportunistically e.g., during 'events'. In addition, several repeated ridge transects were established. During the melt season (June – September 2020), the Magnaprobe was used to measure snow depth, surface scatter layer depth and melt pond depth. This repository includes data obtained by Magnaprobe, sea ice thickness derived by subtracting snow depth from co-located total thickness measurements, a descriptive document including maps (Magnaprobe Repository Description), and a table of with other transect-mode measurements at MOSAiC (Action Log Table): remote sensing instruments, snow structure measurements etc. Dataset Antarc* Antarctic Arctic Arctic Ocean Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Antarctic Arctic Arctic Ocean ENVELOPE(-2.690920,129.248093,89.140811,79.364751)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Arctic
Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
Binary Object
Binary Object (File Size)
electromagnetic induction
File content
GEM-2
ice
MAGNA
magnaprobe
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
ocean
Polarstern
Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
PS122/1
PS122/1_10-59
PS122/1_4-1
PS122/1_5-27
PS122/1_6-50
PS122/1_7-62
PS122/1_8-58
PS122/1_9-54
PS122/2
PS122/2_16-83
PS122/2_16-84
PS122/2_17-113
PS122/2_18-80
PS122/2_19-101
PS122/2_19-103
PS122/2_19-107
PS122/2_19-110
PS122/2_19-113
PS122/2_19-139
PS122/2_20-124
PS122/2_20-43
PS122/2_20-95
PS122/2_20-98
PS122/2_21-140
PS122/2_21-141
PS122/2_21-142
PS122/2_22-92
PS122/2_22-94
PS122/2_23-62
PS122/2_23-90
PS122/2_24-69
spellingShingle Arctic
Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
Binary Object
Binary Object (File Size)
electromagnetic induction
File content
GEM-2
ice
MAGNA
magnaprobe
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
ocean
Polarstern
Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
PS122/1
PS122/1_10-59
PS122/1_4-1
PS122/1_5-27
PS122/1_6-50
PS122/1_7-62
PS122/1_8-58
PS122/1_9-54
PS122/2
PS122/2_16-83
PS122/2_16-84
PS122/2_17-113
PS122/2_18-80
PS122/2_19-101
PS122/2_19-103
PS122/2_19-107
PS122/2_19-110
PS122/2_19-113
PS122/2_19-139
PS122/2_20-124
PS122/2_20-43
PS122/2_20-95
PS122/2_20-98
PS122/2_21-140
PS122/2_21-141
PS122/2_21-142
PS122/2_22-92
PS122/2_22-94
PS122/2_23-62
PS122/2_23-90
PS122/2_24-69
Itkin, Polona
Webster, Melinda
Hendricks, Stefan
Oggier, Marc
Jaggi, Matthias
Ricker, Robert
Arndt, Stefanie
Divine, Dmitry V
von Albedyll, Luisa
Raphael, Ian
Rohde, Jan
Liston, Glen E
Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
topic_facet Arctic
Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
Binary Object
Binary Object (File Size)
electromagnetic induction
File content
GEM-2
ice
MAGNA
magnaprobe
MOSAiC
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
ocean
Polarstern
Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
PS122/1
PS122/1_10-59
PS122/1_4-1
PS122/1_5-27
PS122/1_6-50
PS122/1_7-62
PS122/1_8-58
PS122/1_9-54
PS122/2
PS122/2_16-83
PS122/2_16-84
PS122/2_17-113
PS122/2_18-80
PS122/2_19-101
PS122/2_19-103
PS122/2_19-107
PS122/2_19-110
PS122/2_19-113
PS122/2_19-139
PS122/2_20-124
PS122/2_20-43
PS122/2_20-95
PS122/2_20-98
PS122/2_21-140
PS122/2_21-141
PS122/2_21-142
PS122/2_22-92
PS122/2_22-94
PS122/2_23-62
PS122/2_23-90
PS122/2_24-69
description At MOSAiC, we collected snow depths by Magnaprobe - an automated snow depth probe, throughout the seasons, most often alongside electromagnetic measurements for deriving total thickness. Most of the data were collected routinely along established transect lines and loops to create timeseries. Some data were collected opportunistically e.g., during 'events'. In addition, several repeated ridge transects were established. During the melt season (June – September 2020), the Magnaprobe was used to measure snow depth, surface scatter layer depth and melt pond depth. This repository includes data obtained by Magnaprobe, sea ice thickness derived by subtracting snow depth from co-located total thickness measurements, a descriptive document including maps (Magnaprobe Repository Description), and a table of with other transect-mode measurements at MOSAiC (Action Log Table): remote sensing instruments, snow structure measurements etc.
format Dataset
author Itkin, Polona
Webster, Melinda
Hendricks, Stefan
Oggier, Marc
Jaggi, Matthias
Ricker, Robert
Arndt, Stefanie
Divine, Dmitry V
von Albedyll, Luisa
Raphael, Ian
Rohde, Jan
Liston, Glen E
author_facet Itkin, Polona
Webster, Melinda
Hendricks, Stefan
Oggier, Marc
Jaggi, Matthias
Ricker, Robert
Arndt, Stefanie
Divine, Dmitry V
von Albedyll, Luisa
Raphael, Ian
Rohde, Jan
Liston, Glen E
author_sort Itkin, Polona
title Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
title_short Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
title_full Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
title_fullStr Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
title_full_unstemmed Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition
title_sort magnaprobe snow and melt pond depth measurements from the 2019-2020 mosaic expedition
publisher PANGAEA
publishDate 2021
url https://doi.pangaea.de/10.1594/PANGAEA.937781
https://doi.org/10.1594/PANGAEA.937781
op_coverage MEDIAN LATITUDE: 85.051667 * MEDIAN LONGITUDE: 54.376476 * SOUTH-BOUND LATITUDE: 79.364751 * WEST-BOUND LONGITUDE: -2.690920 * NORTH-BOUND LATITUDE: 89.140811 * EAST-BOUND LONGITUDE: 129.248093 * DATE/TIME START: 2019-10-24T05:18:00 * DATE/TIME END: 2020-09-30T09:41:00 * MINIMUM ELEVATION: -4425.4 m * MAXIMUM ELEVATION: -806.4 m
long_lat ENVELOPE(-2.690920,129.248093,89.140811,79.364751)
geographic Antarctic
Arctic
Arctic Ocean
geographic_facet Antarctic
Arctic
Arctic Ocean
genre Antarc*
Antarctic
Arctic
Arctic Ocean
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Arctic Ocean
Sea ice
op_relation Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition. https://download.pangaea.de/reference/112309/attachments/Magnaprobe_Repository_Description.pdf (Data description)
https://doi.pangaea.de/10.1594/PANGAEA.937781
https://doi.org/10.1594/PANGAEA.937781
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.937781
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