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

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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
AR by Nathanael Melia on behalf of the Authors (20 Nov 2015)
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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.