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Abstract Details
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Activity Number:
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101
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #303842 |
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Title:
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Assessing Uncertainty in Regional Climate Model Experiments
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Author(s):
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Stephan Sain*+
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Companies:
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Geophysical Statistics Project
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Address:
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NCAR, Boulder, ,
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Keywords:
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Functional ANOVA ;
Spatial modeling ;
Large datasets ;
Uncertainty quantification ;
Regional climate models
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Abstract:
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The North American Regional Climate Change Assessment Program (NARCCAP) is producing an ensemble of regional climate model output over North America by using the output from multiple global climate models as boundary conditions for multiple regional climate models. One aspect of this program is to explore and quantify the uncertainties in the ensemble that can be attributed to the different model combinations. In this talk, a subset of the model output in the NARCCAP ensemble will be examined and a statistical model accounting for the different sources of uncertainty presented. At the heart of this statistical model is a new approach for modeling the spatial dependence in the model output that is feasible for larger spatial datasets.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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