Applicatıon of detrended fluctuation analysis to temperature data from Turkey

Mediha Orun, Kasim Koçak*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


Temperature is a basic weather and climate element and has a major role in the prediction of climate change. In this study, by using detrended fluctuation analysis (DFA), scaling exponent of daily mean temperature, daily maximum temperature, daily minimum temperature and daily temperature differences are calculated for 52 stations in Turkey. Local changes of scaling exponents are examined and their relation to the geographical structure is discussed. It is shown that all of the calculated scaling exponents are larger than 0.5 indicating that temperature data have long-range correlations.

Original languageEnglish
Pages (from-to)2130-2136
Number of pages7
JournalInternational Journal of Climatology
Issue number14
Publication statusPublished - 30 Nov 2009


  • Detrended fluctuation analysis
  • Long-term correlation
  • Temperature
  • Turkey


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