Regional assessments of the impacts of climate change on both human systems and the natural environment require high-resolution projections to see the effects of global-scale change on the local environment. This project sought to address a critical and generally overlooked assumption inherent to these projections of regional, multi-decadal climate change: that the statistical relationship between global climate model simulation outputs and real, observed climate data remain constant over time. Utilizing a “perfect--‐model” experimental design and the output of two high-resolution global climate model simulations, this study evaluated and reported on the ability of three different methods to simulate current and...
