Stochastic analysis of air and sea surface temperature time series in the North Atlantic
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Copyright (c) 1994
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Linear parametric models of sea surface temperature (SST) and air surface temperatures (AST) in the North Atlantic are considered. Theoretical aspects of the application of linear stationary Autoregressive Models (ARM) of observed scalar time series are discussed. Some results of the application of the above method to the climatic data are examined. Considerable cooling of SST and AST in the XXth century is marked for the region north to 44°N. Annually averaged series of AST and SST are best fitted with low-order ARM and the first order prevails. Seasonally averaged series are best fitted with orders higher than 1.
KEY WORDS: Climatic variability, North Atlantic, sea temperature, air temperature, temperature trends.