How much should we believe correlations between Arctic cyclones and sea ice extent?

Rae, Jamie G. L.; Todd, Alexander D.; Blockley, Edward W.; Ridley, Jeff K.

doi:https://doi.org/10.5194/tc-11-3023-2017

Articles | Volume 11, issue 6

https://doi.org/10.5194/tc-11-3023-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-11-3023-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 6

Research article

|

21 Dec 2017

Research article |

| 21 Dec 2017

How much should we believe correlations between Arctic cyclones and sea ice extent?

Jamie G. L. Rae, Alexander D. Todd, Edward W. Blockley, and Jeff K. Ridley

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Final revised paper (published on 21 Dec 2017)
Preprint (discussion started on 21 Aug 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review', Anonymous Referee #1, 25 Sep 2017
- AC1: 'Comment on report by anonymous referee #1', Jamie Rae, 27 Sep 2017
- AC2: 'Response to Anonymous Reviewer #1', Jamie Rae, 07 Nov 2017
- AC3: 'Response to Anonymous Reviewer #1', Jamie Rae, 07 Nov 2017
RC2: 'Referee Comment', Anonymous Referee #2, 18 Oct 2017
- AC4: 'Response to Anonymous Reviewer #2', Jamie Rae, 07 Nov 2017
EC1: 'Next steps', Jean-Louis Tison, 19 Oct 2017
EC2: 'next steps (2)', Jean-Louis Tison, 09 Nov 2017
- AC5: 'Response to editor', Jamie Rae, 09 Nov 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jamie Rae on behalf of the Authors (07 Nov 2017) Author's response Manuscript

ED: Publish as is (15 Nov 2017) by Jean-Louis Tison

AR by Jamie Rae on behalf of the Authors (16 Nov 2017)

Short summary

Several studies have highlighted links between Arctic summer storms and September sea ice extent in observations. Here we use model and reanalysis data to investigate the sensitivity of such links to the analytical methods used, in order to determine their robustness. The links were found to depend on the resolution of the model and dataset, the method used to identify storms and the time period used in the analysis. We therefore recommend caution when interpreting the results of such studies.