Abstract

The Earth’s global temperature is treated as indicator of climate changes. Relatively reliable assessments of temperature variations are obtained on the basis of results from instrumental observations performed only since the middle of the 19th century. It is significant that the temperature series are nonstationary, a consequence of global climate changes. Empirical mode decomposition (EMD) is used for temperature series pretreatment, allowing us to eliminate a long-term component and a linear trend. Along with expansion in the EMD series, analysis of the amplitudes of significance is used to eliminate noise. The resulting refined quasistationary series of data on the Earth’s surface temperature is studied via spectral analysis to identify the cyclic component.

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