Multifractal scaling properties of daily air temperature time series

N. Kalamaras, K. Philippopoulos, D. Deligiorgi, C.G. Tzanis and G. Karvounis

Chaos, Solitons & Fractals, 2017, vol. 98, issue C, 38-43

Abstract: The aim of the current research study is to examine the scaling properties of the mean daily, maximum and minimum air temperature time series of a single coastal site, located at the island of Crete in Greece. The Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to examine the time series long-term correlation and the singularity spectrum to estimate the multifractality degree. The analysis reveals that the daily temperature time series exhibit a multifractal behavior, are positive long-term correlated and that their multifractal structure is insensitive to local fluctuations with large magnitudes.

Keywords: Air temperature; Multifractal detrended fluctuation analysis; Scaling properties (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:98:y:2017:i:c:p:38-43

DOI: 10.1016/j.chaos.2017.03.003

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