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A new method of regime shift detection in the correlation coefficient isproposed. The method is designed to find multiple change-points with unknownlocations in time series. It signals a possible regime shift in real time andallows for its monitoring. The method is tested on randomly generated timeseries with predefined change-points. It is applied to examine structuralchanges in the Bering Sea climate. A major shift is found in 1967, whichcoincides with a transition from a zonal type of atmospheric circulation to ameridional one. The roles of the Siberian and Alaskan centers of action onwinter temperatures in the eastern Bering Sea have been investigated.

A sequential method of detecting abrupt changes in the correlation coefficient and its application to Bering Sea climate