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Predictability of Atlantic Ocean sea surface temperatures (SST) on seasonal and decadal timescales is investigated using a suite of statistical linear inverse models (LIM). Observed monthly SST anomalies in the Atlantic sector (between 22 $$^{\circ }$$ ∘ S and 66 $$^{\circ }$$ ∘ N) are used to construct the LIMs for seasonal and decadal prediction. The forecast skills of the LIMs...
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