Abstract Details
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Activity Number:
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254
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 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 #312902
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Title:
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Bayesian Factor Analysis as an Approach to Combining Climate Model Ensembles
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Author(s):
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Eleanor Tass*+
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Companies:
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Brigham Young University
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Keywords:
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Climate Models ;
NARCCAP ;
Spatial smoothing ;
Factor Analysis
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Abstract:
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In this paper we apply a Bayesian spatial factor analysis for combining climate model output to the difference in future and current simulations from the regional climate models from the North American Regional Climate Change Assessment Program (NARCCAP). The model uses spatial CAR priors to smooth factor loadings, which help identify geographical locations of discrepancies among the regional climate models. The spatial factor analysis model provides an interpretable approach to combining climate model output that helps account for the high correlation among climate model projections.
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Authors who are presenting talks have a * after their name.
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