Articles | Volume 11, issue 2
https://doi.org/10.5194/esd-11-329-2020
https://doi.org/10.5194/esd-11-329-2020
Research article
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08 Apr 2020
Research article | Highlight paper |  | 08 Apr 2020

Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling

Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Hege-Beate Fredriksen, Håvard Rue, and Martin Rypdal

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ED: Publish subject to minor revisions (review by editor) (01 Feb 2020) by Michel Crucifix
AR by Eirik Myrvoll-Nilsen on behalf of the Authors (17 Feb 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (01 Mar 2020) by Michel Crucifix
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Short summary
This paper presents efficient Bayesian methods for linear response models of global mean surface temperature that take into account long-range dependence. We apply the methods to the instrumental temperature record and historical model runs in the CMIP5 ensemble to provide estimates of the transient climate response and temperature projections under the Representative Concentration Pathways.
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