| The complex dynamics of the Earth atmosphere and climate evolve on a wide range of temporal and spatial scales. Analyses of the low-frequency variability on seasonal to decadal time scales have led to detection of oscillatory phenomena possibly possessing a nonlinear origin and exhibiting phase synchronization between oscillatory modes extracted either from different types of climate-related data or data recorded at different locations on the Earth [1-4]. We study nonlinear interactions between dynamics on different temporal scales in about a century long records of daily mean surface air temperature from various European locations using conditional mutual information together with the Fourier-transform and multifractal surrogate data methods [5]. Information transfer from larger to smaller scales has been observed as the influence of the phase of slow oscillatory phenomena with periods around 6-11 years on amplitudes of the variability characterized by smaller temporal scales from a few months to 4-5 years. The overall effect of the slow oscillations on the inter-annual temperature changes within the range 1-2 K has been observed in large areas of Europe.
Acknowledgement
This study is supported by the Czech Science Foundation, Project No. P103/11/J068.
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