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Climate simulation codes, such as the Community Earth System Model (CESM),are especially complex and continually evolving. Their ongoing state ofdevelopment requires frequent software verification in the form of qualityassurance to both preserve the quality of the code and instill modelconfidence. To formalize and simplify this previously subjective andcomputationally expensive aspect of the verification process, we havedeveloped a new tool for evaluating climate consistency. Because an ensembleof simulations allows us to gauge the natural variability of the model'sclimate, our new tool uses an ensemble approach for consistency testing. Inparticular, an ensemble of CESM climate runs is created, from which we obtaina statistical distribution that can be used to determine whether a newclimate run is statistically distinguishable from the original ensemble. TheCESM ensemble consistency test, referred to as CESM-ECT, is objective innature and accessible to CESM developers and users. The tool has proven itsutility in detecting errors in software and hardware environments andproviding rapid feedback to model developers

A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0)