Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1631-2016
https://doi.org/10.5194/tc-10-1631-2016
Research article
 | 
28 Jul 2016
Research article |  | 28 Jul 2016

Statistical indicators of Arctic sea-ice stability – prospects and limitations

Sebastian Bathiany, Bregje van der Bolt, Mark S. Williamson, Timothy M. Lenton, Marten Scheffer, Egbert H. van Nes, and Dirk Notz

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 Sebastian Bathiany on behalf of the Authors (04 Apr 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Apr 2016) by Christian Haas
RR by Anonymous Referee #2 (25 Apr 2016)
RR by Anonymous Referee #1 (06 May 2016)
ED: Reconsider after major revisions (17 May 2016) by Christian Haas
AR by Sebastian Bathiany on behalf of the Authors (08 Jun 2016)  Manuscript 
ED: Referee Nomination & Report Request started (22 Jun 2016) by Christian Haas
RR by Anonymous Referee #1 (27 Jun 2016)
ED: Publish as is (08 Jul 2016) by Christian Haas
AR by Sebastian Bathiany on behalf of the Authors (08 Jul 2016)  Manuscript 
Download
Short summary
We examine if a potential "tipping point" in Arctic sea ice, causing abrupt and irreversible sea-ice loss, could be foreseen with statistical early warning signals. We assess this idea by using several models of different complexity. We find robust and consistent trends in variability that are not specific to the existence of a tipping point. While this makes an early warning impossible, it allows to estimate sea-ice variability from only short observational records or reconstructions.