Improving Statistical Downscaling of General Circulation Models
Credible projections of future local climate change are in demand. One way to accomplish this is to statistically downscale General Circulation Models (GCM’s). A new method for statistical downscaling is proposed in which the seasonal cycle is first removed, a physically based predictor selection pr...
Main Author: | Titus, Matthew Lee |
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Language: | en |
Published: |
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/10222/13019 |
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