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J. Paul Spence, Michael Eby, and Andrew J. Weaver

IPCC TAR reported that a lack of experiments exploring the impacts of resolution restricts the ability to draw firm conclusions. We address this need by investigating AMOC variability in a series of global models with horizontal resolutions increasing into the ocean eddy-permitting range. Of the few studies that have systematically examined the effects of increasing model resolution, none evaluated differences in the response to deep water formation perturbations. Earlier research focused on ocean

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Garry K. C. Clarke, Etienne Berthier, Christian G. Schoof, and Alexander H. Jarosch

dynamics model so that the skill of trained neural networks can be objectively tested. Section 4 is concerned with testing the skill of ANNs, using this information to optimize the selection of inputs and the network architecture, and evaluating the performance of the ANN estimators for four test regions and a range of glaciation states. Section 5 summarizes the results of this study. 2. Artificial neural networks Artificial neural networks are input–output systems that aim to imitate the operation

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