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244 – Data Fusion for Environmental Applications
Spatio-Temporal Modeling for Regional Climate Model Comparison: Application on Perennial Bioenergy Crop Impacts
Meng Wang
Arizona State University
Yiannis Kamarianakis
Arizona State University
Matei Georgescu
Arizona State University
Alex Mahalov
Arizona State University
This article presents spatio-temporal Bayesian models for analyzing regional climate model outputs. WRF simulated temperatures associated with control simulation bias, as well as biofuel impacts, were modeled using three spatio-temporal correlation structures. A hierarchical model with spatially varying intercepts and slopes displayed satisfactory performance in capturing spatio-temporal associations. The effects of microphysics parameterizations in reproducing near-surface climatic conditions were found statistically significant. Simulated temperature impacts due to perennial bioenergy crop expansion were robust to physics parameterization schemes.