Summary

The surface air temperature time series of both hemispheres and the North Atlantic European area as well as the Southern Oscillation (SO) index time series were analysed using a wavelet transform technique. The values of the so-called singularity exponents of these series were estimated and compared...

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Bibliographic Details
Main Authors: D. M. Sonechkin, N. M. Astafyeva, N. M. Datsenko, N. N. Ivachtchenko, B. Jakubiak
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1998
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.486.6342
http://www.dvfu.ru/meteo/library/90640131.pdf
Description
Summary:The surface air temperature time series of both hemispheres and the North Atlantic European area as well as the Southern Oscillation (SO) index time series were analysed using a wavelet transform technique. The values of the so-called singularity exponents of these series were estimated and compared with such estimations for some surrogate time series artificially created from the observed tempera-ture series. It was concluded that the climate dynamics on interannual and interdecadal scales may be considered as a kind of classical Brownian motion although its considera-tion as a flicker-noise is also possible. The extracted temperature variations were shown to be closely coupled with the SO process. The wavelet-transformed SO series reveals itself as a whole self-similar ‘‘tree’ ’ the main branches of which are the appearances of the strongest El-Ninos of 1898–1899, 1941–1942, and 1982–1983. Similar ‘‘trees’ ’ can be seen in the wavelet-transformed temperature series. Thus, the extracted temperature variations were shown to be closely coupled with the SO process, and a decomposition of the current global climate dynamics into three climatic epochs (of about 40-year long) seems to be appropriate. 1.