Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 19-34, 2017
http://www.geosci-model-dev.net/10/19/2017/
doi:10.5194/gmd-10-19-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Methods for assessment of models
02 Jan 2017
CPMIP: measurements of real computational performance of Earth system models in CMIP6
Venkatramani Balaji et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Executive Editor Comment on "CPMIP: Measurements of Real Computational Performance of Earth System Models"', Astrid Kerkweg, 13 Sep 2016 Printer-friendly Version 
AC1: 'Response', V. Balaji, 26 Nov 2016 Printer-friendly Version Supplement 
 
RC1: 'comments', Claire Levy, 05 Oct 2016 Printer-friendly Version 
AC2: 'Response', V. Balaji, 26 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Important contribution towards community consensus on metrics for Earth system models', Anonymous Referee #2, 31 Oct 2016 Printer-friendly Version 
AC3: 'Response', V. Balaji, 26 Nov 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by V. Balaji on behalf of the Authors (26 Nov 2016)  Author's response  Manuscript
ED: Publish as is (29 Nov 2016) by David Ham
Publications Copernicus
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Short summary
Climate models are among the most computationally expensive scientific applications in the world. We present a set of measures of computational performance that can be used to compare models that are independent of underlying hardware and the model formulation. They are easy to collect and reflect performance actually achieved in practice. We are preparing a systematic effort to collect these metrics for the world's climate models during CMIP6, the next Climate Model Intercomparison Project.
Climate models are among the most computationally expensive scientific applications in the...
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