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  • AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904020901; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative  (2)
  • 02.02. Glaciers  (1)
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  • 1
    Publication Date: 2024-05-17
    Description: Airborne observations of snow depth on sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys, some with overlapping segments at low and high altitude, spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated snow depth data from an airborne frequency-modulated continuous-wave ultrawideband radar using an algorithm based on signal peakiness are provided with a point spacing of approximately 4-5 meters for low-altitude flights and 7-9 meters for high-altitude flights. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged data in the low-altitude data arise from calibrations of an EM sensor. Each snow depth value represents the average depth within the radar footprint that has a theoretical smooth surface cross-/along-track diameter of 2.6/1.0 m at low altitude and 7.2/5.1 m at the high altitude.
    Keywords: AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904020901; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative
    Type: Dataset
    Format: text/tab-separated-values, 725492 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-05-17
    Description: Airborne observations of snow depth on sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys, some with overlapping segments at low and high altitude, spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated snow depth data from an airborne frequency-modulated continuous-wave ultrawideband radar using an algorithm based on signal peakiness are provided with a point spacing of approximately 4-5 meters for low-altitude flights and 7-9 meters for high-altitude flights. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged data in the low-altitude data arise from calibrations of an EM sensor. Each snow depth value represents the average depth within the radar footprint that has a theoretical smooth surface cross-/along-track diameter of 2.6/1.0 m at low altitude and 7.2/5.1 m at the high altitude.
    Keywords: AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904020901; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative
    Type: Dataset
    Format: text/tab-separated-values, 1170982 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2019-01-25
    Description: Analysis | Published: 13 June 2018 Mass balance of the Antarctic Ice Sheet from 1992 to 2017 The IMBIE team Naturevolume 558, pages219–222 (2018) | Download Citation Abstract The Antarctic Ice Sheet is an important indicator of climate change and driver of sea-level rise. Here we combine satellite observations of its changing volume, flow and gravitational attraction with modelling of its surface mass balance to show that it lost 2,720 ± 1,390 billion tonnes of ice between 1992 and 2017, which corresponds to an increase in mean sea level of 7.6 ± 3.9 millimetres (errors are one standard deviation). Over this period, ocean-driven melting has caused rates of ice loss from West Antarctica to increase from 53 ± 29 billion to 159 ± 26 billion tonnes per year; ice-shelf collapse has increased the rate of ice loss from the Antarctic Peninsula from 7 ± 13 billion to 33 ± 16 billion tonnes per year. We find large variations in and among model estimates of surface mass balance and glacial isostatic adjustment for East Antarctica, with its average rate of mass gain over the period 1992–2017 (5 ± 46 billion tonnes per year) being the least certain.
    Description: Published
    Description: 219-222
    Description: 5A. Paleoclima e ricerche polari
    Description: JCR Journal
    Keywords: Antarctica ; Ice sheet mass balance ; 02.02. Glaciers ; 04.03. Geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Limitation Availability
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