The problem of extracting the most common spectral variations within multidimensional time series of Caspian Sea level variation on the shore stations is considered. Accurate data of 15 stations with a sampling time interval of 6 hours over a time period of observations since the beginning of 1977 till the end of 1991 are available for this purpose. The Fourier-aggregated signal method allows extract stationary common harmonics which form 2 groups of tidal sea level variation at the vicinity of 12 and 24 days periods. Besides that a long-periodic common variation was extracted with the period approximately 12.85 years. The non-stationary collective effects within period range from 4 up to 8 days were detected by estimating canonical coherences of multiple time series within moving time window. Non-stationary common effects are associated with influence of wind.

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