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Abstract
Climate model calibration (“tuning”) is a complex and laborious task, requiring many thousands of hours of effort by experienced model developers for each new version of a component or coupled model. Two key obstacles to efficient model fidelity analysis are: (1) comparisons of model fidelity across multiple simulations are time-consuming, and (2) there is limited consensus on the relative importance of different model variables to evaluating overall fidelity. We address these challenges through a unique, close collaboration among climate modellers, visual analytics researchers, and statisticians, as part of an LDRD project at Pacific Northwest National Laboratory.
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