Articles | Volume 9, issue 6
https://doi.org/10.5194/tc-9-2237-2015
https://doi.org/10.5194/tc-9-2237-2015
Research article
 | 
04 Dec 2015
Research article |  | 04 Dec 2015

Improved Arctic sea ice thickness projections using bias-corrected CMIP5 simulations

N. Melia, K. Haines, and E. Hawkins

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
AR by Nathanael Melia on behalf of the Authors (07 Oct 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (27 Oct 2015) by Julienne Stroeve
AR by Nathanael Melia on behalf of the Authors (06 Nov 2015)  Author's response    Manuscript
ED: Publish as is (18 Nov 2015) by Julienne Stroeve
Download
Short summary
Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. We present a new method to constrain global climate model simulations of SIT to narrow projection uncertainty via a statistical bias-correction technique.