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Volatility in atmospheric temperature variability

R.B. Govindan, Armin Bunde and Shlomo Havlin

Physica A: Statistical Mechanics and its Applications, 2003, vol. 318, issue 3, 529-536

Abstract: Using detrended fluctuation analysis, we study the scaling properties of the volatility time series Vi=|Ti+1−Ti| of daily temperatures Ti for 10 chosen sites around the globe. We find that the volatility is long-range power-law correlated with an exponent γ close to 0.8 for all sites considered here. We use this result to test the scaling performance of several state-of-the art global climate models and find that the models do not reproduce the observed scaling behavior.

Keywords: Correlations; Volatility; Climate models; DFA; Scaling analysis (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:318:y:2003:i:3:p:529-536

DOI: 10.1016/S0378-4371(02)01552-2

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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