Articles | Volume 11, issue 4
https://doi.org/10.5194/esd-11-1033-2020
https://doi.org/10.5194/esd-11-1033-2020
Research article
 | 
19 Nov 2020
Research article |  | 19 Nov 2020

Calibrating large-ensemble European climate projections using observational data

Christopher H. O'Reilly, Daniel J. Befort, and Antje Weisheimer

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (26 Jun 2020) by Yun Liu
AR by Christopher O'Reilly on behalf of the Authors (14 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Aug 2020) by Yun Liu
RR by Philip Sansom (24 Aug 2020)
RR by Anonymous Referee #2 (06 Sep 2020)
ED: Publish as is (07 Sep 2020) by Yun Liu
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Short summary
This study examines how the output of large single-model ensembles can be calibrated using observational data to provide improved future projections over Europe. Using an out-of-sample imperfect model test, in which calibration techniques are applied to individual climate model realisations, these techniques are shown to generally improve the reliability of European climate projections for the next 40 years, particularly for regional surface temperature.
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