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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 6
Geosci. Model Dev., 10, 2321-2332, 2017
https://doi.org/10.5194/gmd-10-2321-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 2321-2332, 2017
https://doi.org/10.5194/gmd-10-2321-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 23 Jun 2017

Methods for assessment of models | 23 Jun 2017

A Bayesian posterior predictive framework for weighting ensemble regional climate models

Yanan Fan 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 Yanan Fan on behalf of the Authors (10 Mar 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Mar 2017) by James Annan
RR by Anonymous Referee #1 (06 Apr 2017)
RR by Hans R Künsch (26 Apr 2017)
ED: Publish subject to minor revisions (Editor review) (08 May 2017) by James Annan
AR by Yanan Fan on behalf of the Authors (17 May 2017)  Author's response    Manuscript
ED: Publish as is (22 May 2017) by James Annan
Publications Copernicus
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Short summary
We develop a novel and principled Bayesian statistical approach to computing model weights in climate change projection ensembles of regional climate models. The approach accounts for uncertainty in model bias, trend and internal variability. The weights are easily interpretable and the ensemble weighted models are shown to provide the correct coverage and improve upon existing methods in terms of providing narrower confidence intervals for climate change projections.
We develop a novel and principled Bayesian statistical approach to computing model weights in...
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