Articles | Volume 9, issue 6
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, Steffen Tietsche, Mat Collins, Helge F. Goessling, Virginie Guemas, Anabelle Guillory, William J. Hurlin, Masayoshi Ishii, Sarah P. E. Keeley, Daniela Matei, Rym Msadek, Michael Sigmond, Hiroaki Tatebe, and Ed Hawkins


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 Jonathan Day on behalf of the Authors (22 Jan 2016)
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
AR by Jonathan Day on behalf of the Authors (10 Jun 2016)  Manuscript 
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.