Articles | Volume 17, issue 10
Research article
06 Oct 2023
Research article |  | 06 Oct 2023

A framework for time-dependent ice sheet uncertainty quantification, applied to three West Antarctic ice streams

Beatriz Recinos, Daniel Goldberg, James R. Maddison, and Joe Todd


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-27', Anonymous Referee #1, 13 Apr 2023
    • AC1: 'Reply on RC1', Beatriz Recinos, 14 Jun 2023
  • RC2: 'Comment on tc-2023-27', Anonymous Referee #2, 19 Apr 2023
    • AC2: 'Reply on RC2', Beatriz Recinos, 14 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (01 Aug 2023) by Elisa Mantelli
AR by Beatriz Recinos on behalf of the Authors (02 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Aug 2023) by Elisa Mantelli
RR by Anonymous Referee #1 (04 Sep 2023)
ED: Publish as is (04 Sep 2023) by Elisa Mantelli
AR by Beatriz Recinos on behalf of the Authors (04 Sep 2023)
Short summary
Ice sheet models generate forecasts of ice sheet mass loss, a significant contributor to sea level rise; thus, capturing the complete range of possible projections of mass loss is of critical societal importance. Here we add to data assimilation techniques commonly used in ice sheet modelling (a Bayesian inference approach) and fully characterize calibration uncertainty. We successfully propagate this type of error onto sea level rise projections of three ice streams in West Antarctica.