Chaotic background of large-scale climate oscillations
A. Bershadskii
TL;DR
This paper demonstrates that the day-night cycle acts as a chaotic dissipation mechanism influencing large-scale climate oscillations like NAO and SOI, using wavelet analysis and complex time domain methods.
Contribution
It introduces a novel approach linking diurnal cycles to chaos in climate oscillations through wavelet regression and analytical continuation.
Findings
Day-night cycle contributes to chaos in climate oscillations.
Wavelet regression effectively detrends climate indices.
Analytical continuation reveals complex time dynamics.
Abstract
It is shown that the periodic alteration of night and day provides a chaotic dissipation mechanism for the North Atlantic (NAO) and Southern (SOI) climate oscillations. The wavelet regression detrended daily NAO index for last 60 years and daily SOI for last 20 years as well as an analytical continuation in the complex time domain were used for this purpose.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Climate variability and models · Chaos control and synchronization