Stochastic analysis of air and sea surface temperature time series in the North Atlantic

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Published: Jul 1, 1994
DOI: https://doi.org/10.22201/igeof.00167169p.1994.33.3.1186
Keywords:
Climatic variability, North Atlantic, sea surface temperature, air temperature, temperature trends

Main Article Content

Elena A. Rybak
Scientific Research Centre of the Russian Academy of Sciences Sochi, Krasnodar Region, Russia

Abstract

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 seriesare discussed. Some results of the application of the above method to the climatic data are examined. Considerable cooling ofSST and ASTin the XXth century is marked for the region north to 44°N. Annually averaged series of AST and SST are bestfitted with low-order ARM and the first order prevails. Seasonally averaged series are best fitted with orders higher than 1.

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How to Cite
Rybak, E. A. (1994). Stochastic analysis of air and sea surface temperature time series in the North Atlantic. Geofisica Internacional, 33(3), 497–507. https://doi.org/10.22201/igeof.00167169p.1994.33.3.1186
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Vol. 33 No. 3 (1994): July 1, 1994
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Article
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Elena A. Rybak, Scientific Research Centre of the Russian Academy of Sciences Sochi, Krasnodar Region, Russia

 

 

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