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Hendricks, Stefan; Itkin, Polona; Ricker, Robert; Webster, Melinda; von Albedyll, Luisa; Rohde, Jan; Raphael, Ian; Jaggi, Matthias; Arndt, Stefanie (2022): GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.943666

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Abstract:
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 the total thickness we rely on direct measurements of snow depth with Magnaprobe. The co-inciding snow depth measurements on MOSAiC transect can be found here: https://doi.pangaea.de/10.1594/PANGAEA.937781
Not every GEM-2 transect has complimentary snow depth measurements. An overview of all transect measurements at MOSAiC is given in the attached table.
For more details we refer to the MOSAiC transect paper by Itkin et al, 2022: Sea ice and snow mass balance from transects in the MOSAiC Central Observatory, in review at Elementa – Science of Anthropocene.
Keyword(s):
Arctic; electromagnetic induction; GEM-2; ice; magnaprobe; MOSAiC20192020; ocean; Sea ice mass balance; Sea ice thickness; snow depth; transect
Related to:
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. PANGAEA, https://doi.org/10.1594/PANGAEA.937781 (co-inciding snow depth measurements on MOSAiC transect)
Further details:
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
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
German Research Foundation (DFG), grant/award no. 404680418: Der Einfluss von gegensätzlichen Schnee-Charakteristika auf die Entwicklung des Meereises
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Horizon 2020 (H2020), grant/award no. 730965: Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic (ARICE)
National Aeronautics and Space Administration (NASA), grant/award no. 80NSSC20K0658: Assessing and improving the seasonal capability of ICESat-2 data for sea ice research
National Science Foundation (NSF), grant/award no. 1735862: Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform
National Science Foundation (NSF), grant/award no. 1820927: Parameterizing sub-grid Arctic snow-on-sea-ice processes in Earth System Models using MOSAiC field observations and realistic-resolution process models
The Research Council of Norway (RCN), grant/award no. 287871: Sea Ice Deformation and Snow for an Arctic in Transition (SIDRiFT)
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
Event(s):
PS122/1_4-2 * Latitude Start: 85.388676 * Longitude Start: 129.249539 * Latitude End: 85.393292 * Longitude End: 129.190836 * Date/Time Start: 2019-10-24T05:15:00 * Date/Time End: 2019-10-24T06:50:00 * Elevation Start: -4356.9 m * Elevation End: -4357.2 m * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Broadband electromagnetic sensor (BES) * Comment: Transect Survey 2019-10-24
PS122/1_4-3 * Latitude Start: 85.393713 * Longitude Start: 129.185186 * Latitude End: 85.393982 * Longitude End: 129.181798 * Date/Time Start: 2019-10-24T06:58:00 * Date/Time End: 2019-10-24T07:04:00 * Elevation Start: -4357.1 m * Elevation End: -4357.0 m * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Broadband electromagnetic sensor (BES) * Comment: Transect Calibration 2019-10-24
PS122/1_5-25 * Latitude: 85.761479 * Longitude: 123.645848 * Date/Time: 2019-10-31T04:54:00 * Elevation: -4394.4 m * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Broadband electromagnetic sensor (BES) * Comment: Transect survey (both loops) 2019-10-31
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
415.3 MBytes

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