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Climate Model Skill At Simulating Large-Scale Atmospheric Circulation Patterns And Associated Temperature And Precipitation Over The Pacific Northwest, Graham Taylor
Student Research Symposium
The ability of the latest state-of-the-art suite of climate models to simulate observed large-scale atmospheric circulation patterns over the Pacific Northwest of North America is evaluated. Twelve representative patterns of atmospheric circulation are identified using machine learning applied to observational data. Climate model data from simulations of the historical period are mapped to each observational-derived pattern, and the resulting differences between patterns, as well as differences in frequency of pattern occurrence, are quantified. In general, models are able to simulate the range of circulation patterns with reasonable accuracy, although model skill varies to some degree across the 25-member climate model …