Articles | Volume 8, issue 9
https://doi.org/10.5194/gmd-8-2829-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-2829-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
09 Sep 2015
Development and technical paper |
| 09 Sep 2015
A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0)
The National Center for Atmospheric Research, Boulder, CO, USA
D. M. Hammerling
The National Center for Atmospheric Research, Boulder, CO, USA
M. N. Levy
The National Center for Atmospheric Research, Boulder, CO, USA
H. Xu
The National Center for Atmospheric Research, Boulder, CO, USA
J. M. Dennis
The National Center for Atmospheric Research, Boulder, CO, USA
B. E. Eaton
The National Center for Atmospheric Research, Boulder, CO, USA
J. Edwards
The National Center for Atmospheric Research, Boulder, CO, USA
C. Hannay
The National Center for Atmospheric Research, Boulder, CO, USA
S. A. Mickelson
The National Center for Atmospheric Research, Boulder, CO, USA
R. B. Neale
The National Center for Atmospheric Research, Boulder, CO, USA
D. Nychka
The National Center for Atmospheric Research, Boulder, CO, USA
J. Shollenberger
The National Center for Atmospheric Research, Boulder, CO, USA
J. Tribbia
The National Center for Atmospheric Research, Boulder, CO, USA
M. Vertenstein
The National Center for Atmospheric Research, Boulder, CO, USA
D. Williamson
The National Center for Atmospheric Research, Boulder, CO, USA
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Latest update: 03 Apr 2026
Short summary
Climate simulation codes are especially complex, and their ongoing state of development requires frequent software quality assurance to both
preserve code quality and instil model confidence. To formalize and simplify this previously subjective and expensive process, we
have developed a new tool for evaluating climate consistency.
The tool has proven its utility in detecting errors in software and hardware
environments and providing rapid feedback to model developers.
Climate simulation codes are especially complex, and their ongoing state of development requires...
