Preprints
https://doi.org/10.5194/tc-2023-64
https://doi.org/10.5194/tc-2023-64
11 May 2023
 | 11 May 2023
Status: a revised version of this preprint was accepted for the journal TC and is expected to appear here in due course.

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

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

Abstract. Ice sheet models are often initialized with data assimilation of present-day conditions, in which unknown model parameters are estimated using the inverse method. While assimilation of snapshot observations has been widely used for regional and large scale ice sheet simulations, data assimilation based on time dependent data has recently started to emerge to constrain model parameters while capturing the transient evolution of the system. However, this method has been applied only to a few glaciers with fixed ice front positions, using spatially and temporally limited observations, and has not been applied to marine terminating glaciers of the Greenland ice sheet that have been retreating over the last 30 years. In this study, we assimilate time series of surface velocity into a model of Kjer glacier in West Greenland to better capture the observed acceleration over the past three decades. We compare snapshot and transient inverse methods and investigate the impact of initialization procedures on the parameters inferred, as well as model projections. We find that transient-calibrated simulations better capture past trends and better reproduce changes after the calibration period, even when a short period of observations is used. The results show the feasibility and clear benefits of a time-dependent data assimilation for initializing ice sheet models. This approach is now possible with the development of longer observational records, though it remains computationally challenging.

Youngmin Choi et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-64', Anonymous Referee #1, 07 Jun 2023
  • RC2: 'Comment on tc-2023-64', Anonymous Referee #2, 10 Jun 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-64', Anonymous Referee #1, 07 Jun 2023
  • RC2: 'Comment on tc-2023-64', Anonymous Referee #2, 10 Jun 2023

Youngmin Choi et al.

Data sets

Data for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland" Youngmin Choi, Helene Seroussi, Mathieu Morlighem, Nicole-Jeanne Schlegel, Alex Gardner https://doi.org/10.5281/zenodo.7850750

Model code and software

Ice-sheet and Sea-level System Model source code, v4.23 r27696 ISSM Team https://doi.org/10.5281/zenodo.7850841

Youngmin Choi et al.

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Short summary
Ice sheet models are often initialized using present-day conditions, but these methods have limitations in capturing the transient evolution of the system. We used time-dependent data assimilation to better capture the acceleration of Kjer Glacier in West Greenland. We compared snapshot and transient inverse methods and found that transient-calibrated simulations better capture past trends and reproduce changes after the calibration period, even with limited observations.