The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 9
Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-2999-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-2999-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 9
Research article
 | 
15 Sep 2020
Research article |  | 15 Sep 2020

Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays

Wolfgang Dierking, Harry L. Stern, and Jennifer K. Hutchings

Viewed

Total article views: 2,924 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,910 908 106 2,924 129 163
  • HTML: 1,910
  • PDF: 908
  • XML: 106
  • Total: 2,924
  • BibTeX: 129
  • EndNote: 163
Views and downloads (calculated since 03 Feb 2020)
Cumulative views and downloads (calculated since 03 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,924 (including HTML, PDF, and XML) Thereof 2,796 with geography defined and 128 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
Monitoring deformation of sea ice is useful for studying effects of ice compression and divergent motion on the ice mass balance and ocean–ice–atmosphere interactions. In calculations of deformation parameters not only the measurement uncertainty of drift vectors has to be considered. The size of the area and the time interval used in the calculations have to be chosen within certain limits to make sure that the uncertainties of deformation parameters are smaller than their real magnitudes.
Read more
Share