Some results applying flicker-noise spectroscopy on climate variables

Casanovas, Alexandre; Gomez, Vicent
February 2000
AIP Conference Proceedings;2000, Vol. 502 Issue 1, p630
Academic Journal
Several quality data sets of different climate variables have been analyzed by Timashev’s flicker-noise spectroscopy (FNS) methods. The data include Mauna Loa and Barrow ozone concentration, GISP2 and GRIP ice core temperature proxies, Great Salt Lake volume, down-welling longwave irradiation and atmospheric clearness index. The data cover very different time scales ranging from few years to ice-ages. All of them show a coloured spectrum with a negative power f[sup -n] dependence on frequency, characteristic of correlations that die out in time and are therefore suitable for applying FNS methods. Results indicate that FNS methods are promising for analysing climate data and that these methods can give more insight into the implied phenomena, if the time series fulfill certain requisites of length and quality. Since the parameters obtained are phenomenological in nature, additional work should be done to connect the phenomenological parameters with model physical parameters. © 2000 American Institute of Physics.


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