Campuses:

Global climate models

Tuesday, April 24, 2018 - 9:00am - 9:30am
While large climate model ensembles provide many insights, they also present a large burden in terms of computational resources and storage requirements. A complementary approach to large ensembles is to train statistical models on fewer runs. While far from capturing the complexity and high variable-dimensionality of climate model runs, simulations from a simpler statistical model might nevertheless provide insights on scientific questions of interest such as the variability of regional trends.
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