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Activity Number:
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244
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2016 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #320548
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Title:
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Spatio-temporal modeling for regional climate model comparison: application on perennial bioenergy crop impacts
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Author(s):
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Meng Wang* and Yiannis Kamarianakis and Alex Mahalov and Melissa Wagner and Matei Georgescu and Gonzalo Miguez-Macho and Mohamed Moustaoui
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Companies:
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Arizona State University and Arizona State University and Arizona State University and Arizona State University and Arizona State University and Universidade de Santiago de Compostela and Arizona State University
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Keywords:
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Bayesian ;
spatio-temporal ;
regional climate models ;
biofuel
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Abstract:
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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.
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Authors who are presenting talks have a * after their name.
