Articles | Volume 13, issue 1
The Cryosphere, 13, 125–139, 2019
https://doi.org/10.5194/tc-13-125-2019
The Cryosphere, 13, 125–139, 2019
https://doi.org/10.5194/tc-13-125-2019

Research article 14 Jan 2019

Research article | 14 Jan 2019

New insight from CryoSat-2 sea ice thickness for sea ice modelling

David Schröder et al.

Viewed

Total article views: 2,720 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,816 859 45 2,720 37 37
  • HTML: 1,816
  • PDF: 859
  • XML: 45
  • Total: 2,720
  • BibTeX: 37
  • EndNote: 37
Views and downloads (calculated since 17 Aug 2018)
Cumulative views and downloads (calculated since 17 Aug 2018)

Viewed (geographical distribution)

Total article views: 2,038 (including HTML, PDF, and XML) Thereof 2,020 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Sep 2021
Download
Short summary
This paper uses sea ice thickness data (CryoSat-2) to identify and correct shortcomings in simulating winter ice growth in the widely used sea ice model CICE. Adding a model of snow drift and using a different scheme for calculating the ice conductivity improve model results. Sensitivity studies demonstrate that atmospheric winter conditions have little impact on winter ice growth, and the fate of Arctic summer sea ice is largely controlled by atmospheric conditions during the melting season.