Articles | Volume 27, issue 1
https://doi.org/10.5194/npg-27-121-2020
https://doi.org/10.5194/npg-27-121-2020
Research article
 | 
27 Feb 2020
Research article |  | 27 Feb 2020

Seasonal statistical–dynamical prediction of the North Atlantic Oscillation by probabilistic post-processing and its evaluation

André Düsterhus

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by André Düsterhus on behalf of the Authors (17 Dec 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (09 Jan 2020) by Sebastian Lerch
AR by André Düsterhus on behalf of the Authors (10 Jan 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (16 Jan 2020) by Sebastian Lerch
AR by André Düsterhus on behalf of the Authors (16 Jan 2020)  Author's response    Manuscript
ED: Publish as is (17 Jan 2020) by Sebastian Lerch
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Short summary
Seasonal prediction of the of the North Atlantic Oscillation (NAO) has been improved in recent years by improving dynamical models and ensemble predictions. One step therein was the so-called sub-sampling, which combines statistical and dynamical predictions. This study generalises this approach and makes it much more accessible. Furthermore, it presents a new verification approach for such predictions.