Nonlinear correlations of daily temperature records over land

I. Bartos · Imre Miklós Jánosi

60 citations0/0 files storedNonlinear processes in geophysics

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Complex Systems and Time Series Analysis Climate variability and models Statistical Mechanics and Entropy

Abstract

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.

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References

2001Detecting long-range correlations with detrended fluctuation analysis 1999Statistical properties of the volatility of price fluctuations 1998Indication of a Universal Persistence Law Governing Atmospheric Variability 2001Magnitude and Sign Correlations in Heartbeat Fluctuations 2000Power spectrum and detrended fluctuation analysis: Application to daily temperatures 2004Tempting long-memory - on the interpretation of DFA results 2001Spectra and correlations of climate data from days to decades 2004Detrended fluctuation analysis of daily temperature records: Geographic dependence over Australia

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