Articles | Volume 9, issue 7
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


Total article views: 3,325 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,979 1,177 169 3,325 142 146
  • HTML: 1,979
  • PDF: 1,177
  • XML: 169
  • Total: 3,325
  • BibTeX: 142
  • EndNote: 146
Views and downloads (calculated since 28 Jan 2016)
Cumulative views and downloads (calculated since 28 Jan 2016)


Latest update: 17 Apr 2024
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.