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State space models with time‐varying parameters have been used to model processes displaying variations at a variety of temporal scales. We develop such models with the goal of forecasting hemispherically averaged surface temperatures at interannual time scales. To capture variations on several scales, we formulate hierarchical models for the main processes of interest conditional upon model coefficients...
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