Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions
Due to factors such as spatial discretization and the parameterization of certain processes, the presence of bias in models of the Earth's atmosphere is unavoidable. Whether we are selecting a model to explain past phenomenon, forecast weather patterns, or make inferences about the future, the...
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| Format: | Others |
| Language: | English |
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2012
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| Online Access: | http://hdl.handle.net/2152/ETD-UT-2012-08-6356 |