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.

Viewed

Total article views: 2,985 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,557 1,294 134 2,985 145 134
  • HTML: 1,557
  • PDF: 1,294
  • XML: 134
  • Total: 2,985
  • BibTeX: 145
  • EndNote: 134
Views and downloads (calculated since 07 May 2015)
Cumulative views and downloads (calculated since 07 May 2015)

Cited

Saved (final revised paper)

Saved (final revised paper)

Saved (preprint)

Latest update: 30 Jul 2021
Download
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.