Articles | Volume 8, issue 2
Research article
28 Jun 2017
Research article |  | 28 Jun 2017

An efficient training scheme for supermodels

Francine J. Schevenhoven and Frank M. Selten


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: Reconsider after major revisions (31 Mar 2017) by Christian Franzke
AR by Francine Schevenhoven on behalf of the Authors (05 May 2017)  Author's response    Manuscript
ED: Publish as is (08 May 2017) by Christian Franzke
Short summary
Weather and climate models have improved steadily over time, but the models remain imperfect. Given these imperfect models, predictions might be improved by combining the models into a so-called “supermodel”. In this paper we show a new method to construct such a supermodel. The results indicate that the supermodel has superior forecast quality compared to the individual models.
Final-revised paper