Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5499-2023
https://doi.org/10.5194/tc-17-5499-2023
Research article
 | 
22 Dec 2023
Research article |  | 22 Dec 2023

Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland

Youngmin Choi, Helene Seroussi, Mathieu Morlighem, Nicole-Jeanne Schlegel, and Alex Gardner

Viewed

Total article views: 4,177 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,729 1,300 148 4,177 151 212
  • HTML: 2,729
  • PDF: 1,300
  • XML: 148
  • Total: 4,177
  • BibTeX: 151
  • EndNote: 212
Views and downloads (calculated since 11 May 2023)
Cumulative views and downloads (calculated since 11 May 2023)

Viewed (geographical distribution)

Total article views: 4,177 (including HTML, PDF, and XML) Thereof 3,990 with geography defined and 187 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 13 Aug 2026
Download
Short summary
Ice sheet models are often initialized using snapshot observations of present-day conditions, but this approach has limitations in capturing the transient evolution of the system. To more accurately represent the accelerating changes in glaciers, we employed time-dependent data assimilation. We found that models calibrated with the transient data better capture past trends and more accurately reproduce changes after the calibration period, even with limited observations.
Share