Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2391-2016
https://doi.org/10.5194/gmd-9-2391-2016
Development and technical paper
 | 
12 Jul 2016
Development and technical paper |  | 12 Jul 2016

Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0)

Allison H. Baker, Yong Hu, Dorit M. Hammerling, Yu-heng Tseng, Haiying Xu, Xiaomeng Huang, Frank O. Bryan, and Guangwen Yang

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Latest update: 17 Apr 2024
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Short summary
Software quality assurance is critical to detecting errors in large, complex climate simulation codes. We focus on ocean model simulation data in the context of an ensemble-based statistical consistency testing approach developed for atmospheric data. Because ocean and atmosphere models have differing characteristics, we develop a new statistical tool to evaluate ocean model simulation data that provide a simple, subjective, and systematic way to detect errors and instil model confidence.