Articles | Volume 10, issue 1
Geosci. Model Dev., 10, 19–34, 2017

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 10, 19–34, 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 et al.

Related authors

Requirements for a global data infrastructure in support of CMIP6
Venkatramani Balaji, Karl E. Taylor, Martin Juckes, Bryan N. Lawrence, Paul J. Durack, Michael Lautenschlager, Chris Blanton, Luca Cinquini, Sébastien Denvil, Mark Elkington, Francesca Guglielmo, Eric Guilyardi, David Hassell, Slava Kharin, Stefan Kindermann, Sergey Nikonov, Aparna Radhakrishnan, Martina Stockhause, Tobias Weigel, and Dean Williams
Geosci. Model Dev., 11, 3659–3680,,, 2018
Short summary
Towards improved and more routine Earth system model evaluation in CMIP
Veronika Eyring, Peter J. Gleckler, Christoph Heinze, Ronald J. Stouffer, Karl E. Taylor, V. Balaji, Eric Guilyardi, Sylvie Joussaume, Stephan Kindermann, Bryan N. Lawrence, Gerald A. Meehl, Mattia Righi, and Dean N. Williams
Earth Syst. Dynam., 7, 813–830,,, 2016
Short summary
Coarse-grained component concurrency in Earth system modeling: parallelizing atmospheric radiative transfer in the GFDL AM3 model using the Flexible Modeling System coupling framework
V. Balaji, Rusty Benson, Bruce Wyman, and Isaac Held
Geosci. Model Dev., 9, 3605–3616,,, 2016
Short summary
Development and exploitation of a controlled vocabulary in support of climate modelling
M.-P. Moine, S. Valcke, B. N. Lawrence, C. Pascoe, R. W. Ford, A. Alias, V. Balaji, P. Bentley, G. Devine, S. A. Callaghan, and E. Guilyardi
Geosci. Model Dev., 7, 479–493,,, 2014

Related subject area

Earth and space science informatics
A spatially explicit approach to simulate urban heat mitigation with InVEST (v3.8.0)
Martí Bosch, Maxence Locatelli, Perrine Hamel, Roy P. Remme, Jérôme Chenal, and Stéphane Joost
Geosci. Model Dev., 14, 3521–3537,,, 2021
Short summary
S-SOM v1.0: a structural self-organizing map algorithm for weather typing
Quang-Van Doan, Hiroyuki Kusaka, Takuto Sato, and Fei Chen
Geosci. Model Dev., 14, 2097–2111,,, 2021
Short summary
Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China
Batunacun, Ralf Wieland, Tobia Lakes, and Claas Nendel
Geosci. Model Dev., 14, 1493–1510,,, 2021
Short summary
Current status on the need for improved accessibility to climate models code
Juan A. Añel, Michael García-Rodríguez, and Javier Rodeiro
Geosci. Model Dev., 14, 923–934,,, 2021
Short summary
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
Prabhat, Karthik Kashinath, Mayur Mudigonda, Sol Kim, Lukas Kapp-Schwoerer, Andre Graubner, Ege Karaismailoglu, Leo von Kleist, Thorsten Kurth, Annette Greiner, Ankur Mahesh, Kevin Yang, Colby Lewis, Jiayi Chen, Andrew Lou, Sathyavat Chandran, Ben Toms, Will Chapman, Katherine Dagon, Christine A. Shields, Travis O'Brien, Michael Wehner, and William Collins
Geosci. Model Dev., 14, 107–124,,, 2021
Short summary

Cited articles

Alexander, K. and Easterbrook, S. M.: The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations, Geosci. Model Dev., 8, 1221–1232,, 2015
André, J.-C., Aloisio, G., Biercamp, J., Budich, R., Joussaume, S., Lawrence, B., and Valcke, S.: High-Performance Computing for Climate Modeling, B. Am. Meteorol. Soc., 95, ES97–ES100, 2014.
Attig, N., Gibbon, P., and Lippert, T.: Trends in supercomputing: The European path to exascale, Comput. Phys. Commun., 182, 2041–2046, 2011.
Balaji, V.: Parallel Numerical Kernels for Climate Models, ECMWF Teracomputing Workshop, European Centre for Medium-Range Weather Forecasts, 184–200, World Scientific Press, 2001.
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.