GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition

The total snow and ice thickness (distance from the snow surface to the ice-ocean interface) was measured by the electromagnetic induction (EM) method. On MOSAiC transects, we used a broad-band EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled (Hunkeler et al, 2015; Hunkeler et al, 2...

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Bibliographic Details
Main Authors: Hendricks, Stefan, Itkin, Polona, Ricker, Robert, Webster, Melinda, von Albedyll, Luisa, Rohde, Jan, Raphael, Ian, Jaggi, Matthias, Arndt, Stefanie
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
BES
ice
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.943666
https://doi.org/10.1594/PANGAEA.943666
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943666
record_format openpolar
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
BES
Broadband electromagnetic sensor
electromagnetic induction
GEM-2
ice
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_10-51
PS122/1_10-55
PS122/1_4-2
PS122/1_4-3
PS122/1_5-25
PS122/1_5-26
PS122/1_6-48
PS122/1_6-49
PS122/1_7-60
PS122/1_7-61
PS122/1_8-55
PS122/1_8-56
PS122/1_8-57
PS122/1_9-51
PS122/1_9-52
PS122/2
PS122/2_16-48
PS122/2_16-50
PS122/2_16-77
PS122/2_16-82
PS122/2_17-111
PS122/2_17-112
PS122/2_18-78
PS122/2_18-79
PS122/2_19-102
PS122/2_19-104
PS122/2_19-105
PS122/2_19-108
PS122/2_19-109
PS122/2_19-111
PS122/2_19-112
PS122/2_19-136
PS122/2_19-138
spellingShingle Arctic
Arctic Ocean
Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic
ARICE
BES
Broadband electromagnetic sensor
electromagnetic induction
GEM-2
ice
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_10-51
PS122/1_10-55
PS122/1_4-2
PS122/1_4-3
PS122/1_5-25
PS122/1_5-26
PS122/1_6-48
PS122/1_6-49
PS122/1_7-60
PS122/1_7-61
PS122/1_8-55
PS122/1_8-56
PS122/1_8-57
PS122/1_9-51
PS122/1_9-52
PS122/2
PS122/2_16-48
PS122/2_16-50
PS122/2_16-77
PS122/2_16-82
PS122/2_17-111
PS122/2_17-112
PS122/2_18-78
PS122/2_18-79
PS122/2_19-102
PS122/2_19-104
PS122/2_19-105
PS122/2_19-108
PS122/2_19-109
PS122/2_19-111
PS122/2_19-112
PS122/2_19-136
PS122/2_19-138
Hendricks, Stefan
Itkin, Polona
Ricker, Robert
Webster, Melinda
von Albedyll, Luisa
Rohde, Jan
Raphael, Ian
Jaggi, Matthias
Arndt, Stefanie
GEM-2 quicklook total thickness 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
BES
Broadband electromagnetic sensor
electromagnetic induction
GEM-2
ice
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_10-51
PS122/1_10-55
PS122/1_4-2
PS122/1_4-3
PS122/1_5-25
PS122/1_5-26
PS122/1_6-48
PS122/1_6-49
PS122/1_7-60
PS122/1_7-61
PS122/1_8-55
PS122/1_8-56
PS122/1_8-57
PS122/1_9-51
PS122/1_9-52
PS122/2
PS122/2_16-48
PS122/2_16-50
PS122/2_16-77
PS122/2_16-82
PS122/2_17-111
PS122/2_17-112
PS122/2_18-78
PS122/2_18-79
PS122/2_19-102
PS122/2_19-104
PS122/2_19-105
PS122/2_19-108
PS122/2_19-109
PS122/2_19-111
PS122/2_19-112
PS122/2_19-136
PS122/2_19-138
description The total snow and ice thickness (distance from the snow surface to the ice-ocean interface) was measured by the electromagnetic induction (EM) method. On MOSAiC transects, we used a broad-band EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled (Hunkeler et al, 2015; Hunkeler et al, 2016). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a broadband sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during MOSAiC used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.525 kHz, 5.325 kHz, 18.325 kHz, 63.025 kHz, and 93.075 kHz). The transect measurements are based on an empirical approach based on a sensor calibration, where the GEM-2 was placed at known heights above the sea ice surface using a wooden ladder on top of level ice with a known thickness determined by 5 drill holes. An exponential function was then fitted to the frequency components as function of distance of the sensor to the ice/ocean interface and then applied to the transect data. The closest-in-time calibration result was used when a GEM-2 survey could not be accompanied with a calibration. The total thickness retrieval with the GEM-2 calibration and survey data was done on-board shortly after each profile. The dataset is therefore labeled as GEM-2 quickview data but has been subject to manual quality control. Using a direct relationship between total thickness and frequency component implies the assumption that the sea ice conductivity is negligible and the ice/water interface constant within the GEM-2 footprint. While this is a reasonable assumption for level ice, the peak thicknesses of ridges are known to be underestimated by as much as 50 % (Pfaffing et al, 2007) and will be subject of further processing. To estimate the snow depth and then subtract its thickness from ...
format Dataset
author Hendricks, Stefan
Itkin, Polona
Ricker, Robert
Webster, Melinda
von Albedyll, Luisa
Rohde, Jan
Raphael, Ian
Jaggi, Matthias
Arndt, Stefanie
author_facet Hendricks, Stefan
Itkin, Polona
Ricker, Robert
Webster, Melinda
von Albedyll, Luisa
Rohde, Jan
Raphael, Ian
Jaggi, Matthias
Arndt, Stefanie
author_sort Hendricks, Stefan
title GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition
title_short GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition
title_full GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition
title_fullStr GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition
title_full_unstemmed GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition
title_sort gem-2 quicklook total thickness measurements from the 2019-2020 mosaic expedition
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.943666
https://doi.org/10.1594/PANGAEA.943666
op_coverage MEDIAN LATITUDE: 85.148331 * MEDIAN LONGITUDE: 55.947939 * SOUTH-BOUND LATITUDE: 79.352940 * WEST-BOUND LONGITUDE: -2.690701 * NORTH-BOUND LATITUDE: 89.140857 * EAST-BOUND LONGITUDE: 129.249539 * DATE/TIME START: 2019-10-24T05:15:00 * DATE/TIME END: 2020-09-30T13:23:16 * MINIMUM ELEVATION: -4425.5 m * MAXIMUM ELEVATION: -708.2 m
long_lat ENVELOPE(-2.690701,129.249539,89.140857,79.352940)
geographic Arctic
Antarctic
Arctic Ocean
geographic_facet Arctic
Antarctic
Arctic Ocean
genre Antarc*
Sea ice
genre_facet Antarc*
Sea ice
op_relation GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition: An overview of all transect measurements (xlsx format) (URI: https://download.pangaea.de/reference/112901/attachments/mosaic-transect-actionlog-updated.xlsx)
Itkin, Polona; et al. (in review): Sea ice and snow mass balance from transects in the MOSAiC Central Observatory.
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 (2021): Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.937781 (co-inciding snow depth measurements on MOSAiC transect)
Hunkeler, Priska A; Hendricks, Stefan; Hoppmann, Mario; Farquharson, Colin G; Kalscheuer, Thomas; Grab, Melchior; Kaufmann, Manuela S; Rabenstein, Lasse; Gerdes, Rüdiger (2016): Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking. Geophysics, 81(1), WA45-WA58, https://doi.org/10.1190/geo2015-0130.1
Hunkeler, Priska A; Hendricks, Stefan; Hoppmann, Mario; Paul, Stephan; Gerdes, Rüdiger (2015): Towards an estimation of sub-sea-ice platelet-layer volume with multi-frequency electromagnetic induction sounding. Annals of Glaciology, 56(69), 137-146, https://doi.org/10.3189/2015AoG69A705
Pfaffling, Andreas; Haas, Christian; Reid, James E (2007): Direct helicopter EM — Sea-ice thickness inversion assessed with synthetic and field data. Geophysics, 72(4), F127-F137, https://doi.org/10.1190/1.2732551
https://doi.pangaea.de/10.1594/PANGAEA.943666
https://doi.org/10.1594/PANGAEA.943666
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.94366610.1594/PANGAEA.93778110.1190/geo2015-0130.110.3189/2015AoG69A70510.1190/1.2732551
_version_ 1814278108003434496
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943666 2024-10-29T17:41:12+00:00 GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition Hendricks, Stefan Itkin, Polona Ricker, Robert Webster, Melinda von Albedyll, Luisa Rohde, Jan Raphael, Ian Jaggi, Matthias Arndt, Stefanie MEDIAN LATITUDE: 85.148331 * MEDIAN LONGITUDE: 55.947939 * SOUTH-BOUND LATITUDE: 79.352940 * WEST-BOUND LONGITUDE: -2.690701 * NORTH-BOUND LATITUDE: 89.140857 * EAST-BOUND LONGITUDE: 129.249539 * DATE/TIME START: 2019-10-24T05:15:00 * DATE/TIME END: 2020-09-30T13:23:16 * MINIMUM ELEVATION: -4425.5 m * MAXIMUM ELEVATION: -708.2 m 2022 application/zip, 415.3 MBytes https://doi.pangaea.de/10.1594/PANGAEA.943666 https://doi.org/10.1594/PANGAEA.943666 en eng PANGAEA GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition: An overview of all transect measurements (xlsx format) (URI: https://download.pangaea.de/reference/112901/attachments/mosaic-transect-actionlog-updated.xlsx) Itkin, Polona; et al. (in review): Sea ice and snow mass balance from transects in the MOSAiC Central Observatory. 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 (2021): Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.937781 (co-inciding snow depth measurements on MOSAiC transect) Hunkeler, Priska A; Hendricks, Stefan; Hoppmann, Mario; Farquharson, Colin G; Kalscheuer, Thomas; Grab, Melchior; Kaufmann, Manuela S; Rabenstein, Lasse; Gerdes, Rüdiger (2016): Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking. Geophysics, 81(1), WA45-WA58, https://doi.org/10.1190/geo2015-0130.1 Hunkeler, Priska A; Hendricks, Stefan; Hoppmann, Mario; Paul, Stephan; Gerdes, Rüdiger (2015): Towards an estimation of sub-sea-ice platelet-layer volume with multi-frequency electromagnetic induction sounding. Annals of Glaciology, 56(69), 137-146, https://doi.org/10.3189/2015AoG69A705 Pfaffling, Andreas; Haas, Christian; Reid, James E (2007): Direct helicopter EM — Sea-ice thickness inversion assessed with synthetic and field data. Geophysics, 72(4), F127-F137, https://doi.org/10.1190/1.2732551 https://doi.pangaea.de/10.1594/PANGAEA.943666 https://doi.org/10.1594/PANGAEA.943666 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 BES Broadband electromagnetic sensor electromagnetic induction GEM-2 ice 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_10-51 PS122/1_10-55 PS122/1_4-2 PS122/1_4-3 PS122/1_5-25 PS122/1_5-26 PS122/1_6-48 PS122/1_6-49 PS122/1_7-60 PS122/1_7-61 PS122/1_8-55 PS122/1_8-56 PS122/1_8-57 PS122/1_9-51 PS122/1_9-52 PS122/2 PS122/2_16-48 PS122/2_16-50 PS122/2_16-77 PS122/2_16-82 PS122/2_17-111 PS122/2_17-112 PS122/2_18-78 PS122/2_18-79 PS122/2_19-102 PS122/2_19-104 PS122/2_19-105 PS122/2_19-108 PS122/2_19-109 PS122/2_19-111 PS122/2_19-112 PS122/2_19-136 PS122/2_19-138 dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94366610.1594/PANGAEA.93778110.1190/geo2015-0130.110.3189/2015AoG69A70510.1190/1.2732551 2024-10-02T00:42:44Z The total snow and ice thickness (distance from the snow surface to the ice-ocean interface) was measured by the electromagnetic induction (EM) method. On MOSAiC transects, we used a broad-band EM instrument sensor (GEM-2 by Geophex Ltd) towed on a small sled (Hunkeler et al, 2015; Hunkeler et al, 2016). The instrument includes a real-time data processing unit including a GPS receiver which communicates with a pocket PC that is operates the sensor and records the EM and GPS data streams. The GEM-2 is a broadband sensor that can transmit multiple configurable frequencies in the kHz range simultaneously. The sensor setup during MOSAiC used 5 frequencies with an approximately logarithmic spacing throughout the frequency range of the sensor (1.525 kHz, 5.325 kHz, 18.325 kHz, 63.025 kHz, and 93.075 kHz). The transect measurements are based on an empirical approach based on a sensor calibration, where the GEM-2 was placed at known heights above the sea ice surface using a wooden ladder on top of level ice with a known thickness determined by 5 drill holes. An exponential function was then fitted to the frequency components as function of distance of the sensor to the ice/ocean interface and then applied to the transect data. The closest-in-time calibration result was used when a GEM-2 survey could not be accompanied with a calibration. The total thickness retrieval with the GEM-2 calibration and survey data was done on-board shortly after each profile. The dataset is therefore labeled as GEM-2 quickview data but has been subject to manual quality control. Using a direct relationship between total thickness and frequency component implies the assumption that the sea ice conductivity is negligible and the ice/water interface constant within the GEM-2 footprint. While this is a reasonable assumption for level ice, the peak thicknesses of ridges are known to be underestimated by as much as 50 % (Pfaffing et al, 2007) and will be subject of further processing. To estimate the snow depth and then subtract its thickness from ... Dataset Antarc* Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic Antarctic Arctic Ocean ENVELOPE(-2.690701,129.249539,89.140857,79.352940)