Articles | Volume 9, issue 6
Geosci. Model Dev., 9, 2255–2270, 2016
https://doi.org/10.5194/gmd-9-2255-2016
Geosci. Model Dev., 9, 2255–2270, 2016
https://doi.org/10.5194/gmd-9-2255-2016

Model experiment description paper 29 Jun 2016

Model experiment description paper | 29 Jun 2016

The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1

Jonathan J. Day et al.

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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
AR by Svenja Lange on behalf of the Authors (25 Jan 2016)  Author's response
ED: Referee Nomination & Report Request started (14 Feb 2016) by Wilco Hazeleger
RR by Anonymous Referee #1 (07 Mar 2016)
ED: Publish subject to minor revisions (Editor review) (03 May 2016) by Wilco Hazeleger
AR by Jonathan Day on behalf of the Authors (19 May 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (10 Jun 2016) by Wilco Hazeleger
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Short summary
Recent decades have seen significant developments in seasonal-to-interannual timescale climate prediction. However, until recently the potential of such systems to predict Arctic climate had not been assessed. This paper describes a multi-model predictability experiment which was run as part of the Arctic Predictability and Prediction On Seasonal to Interannual Timescales (APPOSITE) project. The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable.