Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-19-2017
https://doi.org/10.5194/gmd-10-19-2017
Methods for assessment of models
 | 
02 Jan 2017
Methods for assessment of models |  | 02 Jan 2017

CPMIP: measurements of real computational performance of Earth system models in CMIP6

Venkatramani Balaji, Eric Maisonnave, Niki Zadeh, Bryan N. Lawrence, Joachim Biercamp, Uwe Fladrich, Giovanni Aloisio, Rusty Benson, Arnaud Caubel, Jeffrey Durachta, Marie-Alice Foujols, Grenville Lister, Silvia Mocavero, Seth Underwood, and Garrett Wright

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - 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
Download
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.