Articles | Volume 12, issue 7
Geosci. Model Dev., 12, 3017–3043, 2019
https://doi.org/10.5194/gmd-12-3017-2019
Geosci. Model Dev., 12, 3017–3043, 2019
https://doi.org/10.5194/gmd-12-3017-2019

Development and technical paper 17 Jul 2019

Development and technical paper | 17 Jul 2019

Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation

Sihan Li 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 Sihan Li on behalf of the Authors (11 Apr 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Apr 2019) by James Annan
RR by Anonymous Referee #1 (06 May 2019)
ED: Publish as is (07 May 2019) by James Annan
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Short summary
Understanding the unfolding challenges of climate change relies on climate models, many of which have regional biases larger than the expected climate signal over the next half-century. This work shows the potential for improving climate model simulations through a multiphased parameter refinement approach. Regional warm biases are substantially reduced, suggesting this iterative approach is one path to improving climate models and simulations of present and future climate.