Articles | Volume 8, issue 11
Geosci. Model Dev., 8, 3579–3591, 2015
https://doi.org/10.5194/gmd-8-3579-2015

Special issue: Community software to support the delivery of CMIP5

Geosci. Model Dev., 8, 3579–3591, 2015
https://doi.org/10.5194/gmd-8-3579-2015

Development and technical paper 06 Nov 2015

Development and technical paper | 06 Nov 2015

An automatic and effective parameter optimization method for model tuning

T. Zhang 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 Tao Zhang on behalf of the Authors (27 Aug 2015)  Author's response
ED: Publish subject to technical corrections (09 Oct 2015) by Richard Neale
AR by Tao Zhang on behalf of the Authors (17 Oct 2015)  Author's response    Manuscript
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Short summary
A “three-step” methodology is proposed to effectively obtain the optimum combination of some key parameters in cloud and convective parameterizations according to a comprehensive objective evaluation metrics. The optimal results improve the metrics performance by 9%. A software framework can automatically execute any part of the “three-step” calibration strategy. The proposed methodology and framework can easily be applied to other GCMs to speed up the model development process.