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Nonlinear reconstruction of global climate leading modes on decadal scales

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Abstract

A nonlinear decomposition method is applied to the analysis of global sea surface temperature (SST) time series in different epochs related to the Pacific Decadal Oscillation (PDO) since the end of 19th century to present time. This method allows one to extract an optimal (small) number of global nonlinear teleconnection patterns associated with distinct dominant time scales from the original high-dimensional spatially extended data set. In particular, it enables us to reveal ENSO teleconnection patterns corresponding to different PDO cycles during the last 145 years, to uncover four climate shifts connected with PDO phase changes and to reconstruct the corresponding global PDO patterns. We find that SST teleconnections between the ENSO region, extra-tropical Pacific regions and the Indian ocean became fundamentally nonlinear since the second half of 20th century.

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Acknowledgements

The results (Sect. 3, 4, 5) were obtained and analyzed under support of the Government of Russian Federation (Agreement #14.Z50.31.0033 with the Institute of Applied Physics of RAS). The methods (Sect. 2) were developed under support of the Russian Science Foundation (Grant #16-12-10198).

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Correspondence to Dmitry Mukhin.

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Mukhin, D., Gavrilov, A., Loskutov, E. et al. Nonlinear reconstruction of global climate leading modes on decadal scales. Clim Dyn 51, 2301–2310 (2018). https://doi.org/10.1007/s00382-017-4013-2

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  • DOI: https://doi.org/10.1007/s00382-017-4013-2

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