Articles | Volume 7, issue 4
https://doi.org/10.5194/esd-7-851-2016
https://doi.org/10.5194/esd-7-851-2016
Research article
 | 
10 Nov 2016
Research article |  | 10 Nov 2016

The use of regression for assessing a seasonal forecast model experiment

Rasmus E. Benestad, Retish Senan, and Yvan Orsolini

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by Editor) (30 Aug 2016) by Ben Kravitz
AR by Rasmus Benestad on behalf of the Authors (08 Sep 2016)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by Editor) (11 Sep 2016) by Ben Kravitz
AR by Rasmus Benestad on behalf of the Authors (26 Sep 2016)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by Editor) (26 Sep 2016) by Ben Kravitz
AR by Rasmus Benestad on behalf of the Authors (27 Sep 2016)  Author's response    Manuscript
ED: Publish as is (03 Oct 2016) by Ben Kravitz
AR by Rasmus Benestad on behalf of the Authors (10 Oct 2016)  Author's response
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Short summary
Seasonal predictions have been challenging for mid-latitude regions such as Europe, and we suspect that one reason may be due to subjective choices in how the forecast models are configured. We tested how (1) the inclusion and omission of the representation of the stratosphere affect the predictions and (2) the degree of detail in the sea-ice description. The test was carried out with a set of simulations (experiments) using a technique known as "factorial regression".
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