Nonlinear correlations of daily temperature records over land

I. Bartos, I. Jánosi

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

We present a near global statistics on the correlation properties of daily temperature records. Data from terrestrial meteorological stations in the Global Daily Climatology Network are analyzed by means of detrended fluctuation analysis. Long-range temporal correlations extending up to several years are detected for each station. In order to reveal nonlinearity, we evaluated the magnitude of daily temperature changes (volatility) by the same method. The results clearly indicate the presence of nonlinearities in temperature time series, furthemore the geographic distribution of correlation exponents exhibits well defined clustering.

Original languageEnglish
Pages (from-to)571-576
Number of pages6
JournalNonlinear Processes in Geophysics
Volume13
Issue number5
Publication statusPublished - 2006

Fingerprint

nonlinearity
geographic distribution
weather stations
Climatology
climatology
volatility
temperature
Temperature
Time series
stations
Statistics
statistics
exponents
time series
land
station
distribution
analysis
method

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Statistical and Nonlinear Physics

Cite this

Nonlinear correlations of daily temperature records over land. / Bartos, I.; Jánosi, I.

In: Nonlinear Processes in Geophysics, Vol. 13, No. 5, 2006, p. 571-576.

Research output: Contribution to journalArticle

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