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...
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| Language: | en |
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2010
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| Online Access: | http://hdl.handle.net/10222/13019 |