摘要: [1] Climate change projections are often given as equally weighted averages across ensembles of climate models, despite the fact that sampling underlying is unclear. We show a hierarchical clustering metric spatial and temporal variations either surface temperature or precipitation in control simulations can capture many model relationships different ensembles. Strong similarities seen between models developed at same institution, sharing versions atmospheric component, successive model. A perturbed parameter ensemble appears separate from other structurally models. The results provide insight into intermodel relationships, how evolve through generations, suggest assuming independence such opportunity not justified.
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