Articles | Volume 14, issue 3
https://doi.org/10.5194/tc-14-811-2020
https://doi.org/10.5194/tc-14-811-2020
Research article
 | Highlight paper
 | 
05 Mar 2020
Research article | Highlight paper |  | 05 Mar 2020

Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter

Fabien Gillet-Chaulet

Viewed

Total article views: 5,187 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,167 932 88 5,187 132 95
  • HTML: 4,167
  • PDF: 932
  • XML: 88
  • Total: 5,187
  • BibTeX: 132
  • EndNote: 95
Views and downloads (calculated since 26 Apr 2019)
Cumulative views and downloads (calculated since 26 Apr 2019)

Viewed (geographical distribution)

Total article views: 5,187 (including HTML, PDF, and XML) Thereof 4,342 with geography defined and 845 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
Marine-based sectors of the Antarctic Ice Sheet are increasingly contributing to sea-level rise. The basal conditions exert an important control on the ice dynamics. For obvious reasons of inaccessibility, they are an important source of uncertainties in numerical ice flow models used for sea-level projections. Here we assess the performance of an ensemble Kalman filter for the assimilation of transient observations of surface elevation and velocities in a marine ice sheet model.