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Cycles, scaling and crossover phenomenon in length of the day (LOD) time series

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  • Telesca, Luciano

Abstract

The dynamics of the temporal fluctuations of the length of the day (LOD) time series from January 1, 1962 to November 2, 2006 were investigated. The power spectrum of the whole time series has revealed annual, semi-annual, decadal and daily oscillatory behaviors, correlated with oceanic–atmospheric processes and interactions. The scaling behavior was analyzed by using the detrended fluctuation analysis (DFA), which has revealed two different scaling regimes, separated by a crossover timescale at approximately 23 days. Flicker-noise process can describe the dynamics of the LOD time regime involving intermediate and long timescales, while Brownian dynamics characterizes the LOD time series for small timescales.

Suggested Citation

  • Telesca, Luciano, 2007. "Cycles, scaling and crossover phenomenon in length of the day (LOD) time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 459-464.
    • Handle: RePEc:eee:phsmap:v:379:y:2007:i:2:p:459-464
    DOI: 10.1016/j.physa.2007.02.064
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    Cited by:

    1. Telesca, Luciano & Pierini, Jorge O. & Scian, Beatrice, 2012. "Investigating the temporal variation of the scaling behavior in rainfall data measured in central Argentina by means of detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1553-1562.
    2. Lovallo, Michele & Pierini, Jorge O. & Telesca, Luciano, 2012. "Power spectrum and Fisher–Shannon information plane analysis of tidal records," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4711-4719.
    3. Telesca, Luciano & Lovallo, Michele, 2010. "Long-range dependence in tree-ring width time series of Austrocedrus Chilensis revealed by means of the detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(19), pages 4096-4104.

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