Articles | Volume 15, issue 6
Research article
24 Jun 2021
Research article |  | 24 Jun 2021

A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations

William Gregory, Isobel R. Lawrence, and Michel Tsamados


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2020-371', Alan Muir, 07 Jan 2021
    • EC1: 'Reply on CC1', John Yackel, 08 Jan 2021
  • CC2: 'Comment on tc-2020-371', Alan Muir, 08 Jan 2021
    • AC1: 'Reply on CC2', William Gregory, 08 Jan 2021
  • RC1: 'Comment on tc-2020-371', Alessandro Di Bella, 08 Feb 2021
  • RC2: 'Comment on tc-2020-371', Rachel Tilling, 10 Feb 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (31 Mar 2021) by John Yackel
AR by William Gregory on behalf of the Authors (05 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (05 May 2021) by John Yackel
RR by Alessandro Di Bella (17 May 2021)
RR by Rachel Tilling (18 May 2021)
ED: Publish as is (31 May 2021) by John Yackel
Short summary
Satellite measurements of radar freeboard allow us to compute the thickness of sea ice from space; however attaining measurements across the entire Arctic basin typically takes up to 30 d. Here we present a statistical method which allows us to combine observations from three separate satellites to generate daily estimates of radar freeboard across the Arctic Basin. This helps us understand how sea ice thickness is changing on shorter timescales and what may be causing these changes.