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Analysis of daily temperature fluctuations

Author

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  • Koscielny-Bunde, Eva
  • Bunde, Armin
  • Havlin, Shlomo
  • Goldreich, Yair

Abstract

We study daily temperature fluctuations over more than 50 yr in two places on the globe that are separated by more than 3000 km. We analyze the temperature fluctuations ΔTi with respect to the mean noon temperature 〈Ti〉 averaged, for each day of the year, over the whole year, ΔTi = Ti − 〈Ti〉. We find that the ΔTi are correlated and can be characterized for up to at least 103 days by a power law correlation with an exponent α ≅ 0.65.

Suggested Citation

  • Koscielny-Bunde, Eva & Bunde, Armin & Havlin, Shlomo & Goldreich, Yair, 1996. "Analysis of daily temperature fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 231(4), pages 393-396.
    • Handle: RePEc:eee:phsmap:v:231:y:1996:i:4:p:393-396
    DOI: 10.1016/0378-4371(96)00187-2
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    1. Stanley, H.E. & Buldyrev, S.V. & Goldberger, A.L. & Goldberger, Z.D. & Havlin, S. & Mantegna, R.N. & Ossadnik, S.M. & Peng, C.-K. & Simons, M., 1994. "Statistical mechanics in biology: how ubiquitous are long-range correlations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 205(1), pages 214-253.
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    Cited by:

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    2. Setty, V.A. & Sharma, A.S., 2015. "Characterizing Detrended Fluctuation Analysis of multifractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 698-706.
    3. Livina, V.N. & Lohmann, G. & Mudelsee, M. & Lenton, T.M., 2013. "Forecasting the underlying potential governing the time series of a dynamical system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 3891-3902.
    4. M. Ghil & Pascal Yiou & Stéphane Hallegatte & B. D. Malamud & P. Naveau & A. Soloviev & P. Friederichs & V. Keilis-Borok & D. Kondrashov & V. Kossobokov & O. Mestre & C. Nicolis & H. W. Rust & P. Sheb, 2011. "Extreme events: dynamics, statistics and prediction," Post-Print hal-00716514, HAL.
    5. Fernández, Isabel & Hernández, Carmen N. & Pacheco, José M., 2003. "Is the North Atlantic Oscillation just a pink noise?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 705-714.
    6. Yu, Zu-Guo & Leung, Yee & Chen, Yongqin David & Zhang, Qiang & Anh, Vo & Zhou, Yu, 2014. "Multifractal analyses of daily rainfall time series in Pearl River basin of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 193-202.
    7. Kalamaras, N. & Philippopoulos, K. & Deligiorgi, D. & Tzanis, C.G. & Karvounis, G., 2017. "Multifractal scaling properties of daily air temperature time series," Chaos, Solitons & Fractals, Elsevier, vol. 98(C), pages 38-43.
    8. Rybski, Diego & Bunde, Armin, 2009. "On the detection of trends in long-term correlated records," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1687-1695.
    9. Lu, Feiyu & Yuan, Naiming & Fu, Zuntao & Mao, Jiangyu, 2012. "Universal scaling behaviors of meteorological variables’ volatility and relations with original records," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4953-4962.

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