In this paper, we dive into the question of the relative contributions of internal ‘noise’ and externally forced ‘signal’ to Atlantic Multidecadal Variability (AMV). To do this we use a hierarchy of climate models including simple heuristic models, idealized dynamical models, comprehensive earth system models, and variants of earth system models with physical processes disabled. These models are put to the experimental test of simulating observations using large ensembles with historical and future forcing, which allows us to formally define the signal to noise ratio. We show that prior to 1950, the AMV is largely consistent with variability arising from coupling between the ocean and atmosphere internal to the climate system. However, after 1950, the AMV, its impacts, and the relationship between the two is largely forced.
We will further discuss the implications of these results more broadly in the context of interpreting ‘signal’ and ‘noise’ in large-scale modes of variability in both climate models and observations.
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