Constraints on model response to greenhouse gas forcing and the role of subgrid-scale processes
A climate model emulator is developed using neural network techniques and trained with the data from the multithousand-member climateprediction.net perturbed physics GCM ensemble. The method recreates nonlinear interactions between model parameters, allowing a simulation of a much larger ensemble th...
| Hlavní autoři: | , , , , , , , , , , |
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| Médium: | Journal article |
| Jazyk: | English |
| Vydáno: |
2008
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