Application of all-relevant feature selection for the failure analysis of  parameter-induced simulation crashes in climate models

Paja, Wiesław; Wrzesien, Mariusz; Niemiec, Rafał; Rudnicki, Witold R.

doi:https://doi.org/10.5194/gmd-9-1065-2016

Articles | Volume 9, issue 3

https://doi.org/10.5194/gmd-9-1065-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-1065-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 3

Development and technical paper

|

17 Mar 2016

Development and technical paper |

| 17 Mar 2016

Application of all-relevant feature selection for the failure analysis of parameter-induced simulation crashes in climate models

Wiesław Paja, Mariusz Wrzesien, Rafał Niemiec, and Witold R. Rudnicki

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Final revised paper (published on 17 Mar 2016)
Preprint (discussion started on 13 Jul 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C2216: 'Referee comment', Anonymous Referee #1, 25 Sep 2015
- AC C2564: 'Response to the comments of Anonymous Reviewer #1', Witold Rudnicki, 21 Oct 2015
RC C2730: 'Review of "Application of all relevant feature selection for failure analysis of parameter-induced simulation crashes in climate models"', Anonymous Referee #2, 29 Oct 2015

Peer-review completion

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

AR by Witold Rudnicki on behalf of the Authors (03 Dec 2015) Author's response Manuscript

ED: Publish as is (20 Feb 2016) by Steve Easterbrook

AR by Witold Rudnicki on behalf of the Authors (01 Mar 2016)

Short summary

Climate simulation crashes are caused by inadeqaute knowledge of parameters in models describing physical phenomena. We have performed reanalysis of the data on simulation crashes and have shown that they can be attributed to three parameters of the ocean model. This is a significant improvement over the original study, where crashes were attributed to eight parameters. Our results will help researchers to develop improved models.