The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 1
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.
https://doi.org/10.5194/tc-16-259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Research article
 | 
24 Jan 2022
Research article |  | 24 Jan 2022

Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements

Arttu Jutila, Stefan Hendricks, Robert Ricker, Luisa von Albedyll, Thomas Krumpen, and Christian Haas

Viewed

Total article views: 5,617 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,328 1,185 104 5,617 136 160
  • HTML: 4,328
  • PDF: 1,185
  • XML: 104
  • Total: 5,617
  • BibTeX: 136
  • EndNote: 160
Views and downloads (calculated since 08 Jun 2021)
Cumulative views and downloads (calculated since 08 Jun 2021)

Viewed (geographical distribution)

Total article views: 5,617 (including HTML, PDF, and XML) Thereof 5,473 with geography defined and 144 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
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.
Read more
Share