Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2022
Research article |
| 24 Jan 2022
| 24 Jan 2022
Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Stefan Hendricks
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Robert Ricker
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
present address: Technology Department, Norwegian Research Centre, Tromsø, Norway
Luisa von Albedyll
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Thomas Krumpen
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Christian Haas
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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Cited
12 citations as recorded by crossref.
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. 10.5194/tc-17-1411-2023
- Digital elevation models of the sea-ice surface from airborne laser scanning during MOSAiC N. Hutter et al. 10.1038/s41597-023-02565-6
- Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. 10.1016/j.coldregions.2024.104408
- Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
- Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. 10.3390/rs16234565
- Modeling Snow and Ice Microwave Emissions in the Arctic for a Multi‐Parameter Retrieval of Surface and Atmospheric Variables From Microwave Radiometer Satellite Data J. Rückert et al. 10.1029/2023EA003177
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. 10.5194/tc-18-5985-2024
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Relationship of physical and mechanical properties of sea ice during the freeze-up season in Nansen Basin V. Hornnes et al. 10.1016/j.coldregions.2024.104353
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
- Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory P. Itkin et al. 10.1525/elementa.2022.00048
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. 10.1029/2021GL094541
10 citations as recorded by crossref.
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. 10.5194/tc-17-1411-2023
- Digital elevation models of the sea-ice surface from airborne laser scanning during MOSAiC N. Hutter et al. 10.1038/s41597-023-02565-6
- Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. 10.1016/j.coldregions.2024.104408
- Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
- Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. 10.3390/rs16234565
- Modeling Snow and Ice Microwave Emissions in the Arctic for a Multi‐Parameter Retrieval of Surface and Atmospheric Variables From Microwave Radiometer Satellite Data J. Rückert et al. 10.1029/2023EA003177
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. 10.5194/tc-18-5985-2024
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Relationship of physical and mechanical properties of sea ice during the freeze-up season in Nansen Basin V. Hornnes et al. 10.1016/j.coldregions.2024.104353
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
2 citations as recorded by crossref.
Latest update: 08 Mar 2025
Short summary
Sea-ice thickness retrieval from satellite altimeters relies on assumed sea-ice density values because density cannot be measured from space. We derived bulk densities for different ice types using airborne laser, radar, and electromagnetic induction sounding measurements. Compared to previous studies, we found high bulk density values due to ice deformation and younger ice cover. Using sea-ice freeboard, we derived a sea-ice bulk density parameterisation that can be applied to satellite data.
Sea-ice thickness retrieval from satellite altimeters relies on assumed sea-ice density values...
