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Activity Number:
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217
- Recent Developments in Spatial Statistics
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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Abstract #322905
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View Presentation
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Title:
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Assessing NARCCAP Climate Model Effects Using Spatial Confidence Regions
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Author(s):
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Joshua French* and Seth McGinnis and Armin Schwartzman
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Companies:
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University of Colorado Denver and National Center for Atmospheric Research and University of California, San Diego
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Keywords:
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multiple comparisons ;
confidence region ;
simultaneous inference ;
NARCCAP ;
climate model ;
geostatistics
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Abstract:
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We assess similarities and differences between model effects for the North American Regional Climate Change Assessment Program (NARCCAP) climate models using varying classes of linear regression models. Specifically, we consider how the average temperature effect differs for the various global and regional climate model combinations, including assessment of possible interaction between the effects of global and regional climate models. We use both pointwise and simultaneous inference procedures to identify regions where global and regional climate model effects differ. We also show conclusively that results from pointwise inference are misleading, and that accounting for multiple comparisons is important for making proper inference.
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Authors who are presenting talks have a * after their name.
