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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (05 Sep 2019) by Carlos Martin
AR by Fabien Gillet-Chaulet on behalf of the Authors (11 Sep 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Sep 2019) by Carlos Martin
RR by Anonymous Referee #2 (11 Oct 2019)
RR by Anonymous Referee #3 (20 Jan 2020)
ED: Publish subject to technical corrections (28 Jan 2020) by Carlos Martin
AR by Fabien Gillet-Chaulet on behalf of the Authors (03 Feb 2020)  Author's response   Manuscript 
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.