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Different scaling behaviors in daily temperature records over China

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  • Yuan, Naiming
  • Fu, Zuntao
  • Mao, Jiangyu

Abstract

Long-range correlations of five kinds of daily temperature records (i.e. daily average temperature records, daily maximum temperature records, daily minimum temperature records, diurnal temperature range and the sum of daily maximum and minimum temperature records) from 164 weather stations over China during 1951–2004 are analyzed by means of detrended fluctuation analysis (DFA). These five kinds of fluctuation series are found to be power-law correlated with scaling exponents larger than 0.5. Local changes of scaling exponents are examined and the spatial distributions of these different kinds of temperature records are similar except the diurnal temperature range (DTR for short) records. Furthermore, the differences of the scaling behavior among diurnal temperature records and other kinds of temperature records are discussed.

Suggested Citation

  • Yuan, Naiming & Fu, Zuntao & Mao, Jiangyu, 2010. "Different scaling behaviors in daily temperature records over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(19), pages 4087-4095.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:19:p:4087-4095
    DOI: 10.1016/j.physa.2010.05.026
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    as
    1. Vandewalle, N. & Ausloos, M., 1997. "Coherent and random sequences in financial fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 454-459.
    2. Yanhui Liu & Pierre Cizeau & Martin Meyer & Chung-Kang Peng & H. Eugene Stanley, 1997. "Correlations in Economic Time Series," Papers cond-mat/9706021, arXiv.org.
    3. Havlin, S. & Buldyrev, S.V. & Bunde, A. & Goldberger, A.L. & Ivanov, P.Ch. & Peng, C.-K. & Stanley, H.E., 1999. "Scaling in nature: from DNA through heartbeats to weather," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 273(1), pages 46-69.
    4. Peng, C.-K. & Hausdorff, J.M. & Havlin, S. & Mietus, J.E. & Stanley, H.E. & Goldberger, A.L., 1998. "Multiple-time scales analysis of physiological time series under neural control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 249(1), pages 491-500.
    5. Ivanova, K & Ausloos, M, 1999. "Application of the detrended fluctuation analysis (DFA) method for describing cloud breaking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 349-354.
    6. Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
    7. Monetti, Roberto A. & Havlin, Shlomo & Bunde, Armin, 2003. "Long-term persistence in the sea surface temperature fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 581-589.
    8. Lin, Guangxing & Chen, Xi & Fu, Zuntao, 2007. "Temporal–spatial diversities of long-range correlation for relative humidity over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 585-594.
    9. Bunde, Armin & Havlin, Shlomo & Koscielny-Bunde, Eva & Schellnhuber, Hans-Joachim, 2001. "Long term persistence in the atmosphere: global laws and tests of climate models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 302(1), pages 255-267.
    10. Liu, Yanhui & Cizeau, Pierre & Meyer, Martin & Peng, C.-K. & Eugene Stanley, H., 1997. "Correlations in economic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 245(3), pages 437-440.
    11. Kantelhardt, Jan W & Koscielny-Bunde, Eva & Rego, Henio H.A & Havlin, Shlomo & Bunde, Armin, 2001. "Detecting long-range correlations with detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 441-454.
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    Cited by:

    1. Zhang, Boer & Xie, Fenghua & Fu, Zunhai & Fu, Zuntao, 2019. "Comparative study of multiple measures on temporal irreversibility of daily air temperature anomaly variations over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1387-1399.
    2. Jiang, Lei & Zhang, Jiping & Liu, Xinwei & Li, Fei, 2016. "Multi-fractal scaling comparison of the Air Temperature and the Surface Temperature over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 783-792.
    3. Garg, Teevrat & Gibson, Matthew & Sun, Fanglin, 2020. "Extreme temperatures and time use in China," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 309-324.
    4. 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.
    5. Yuan, Naiming & Fu, Zuntao, 2014. "Different spatial cross-correlation patterns of temperature records over China: A DCCA study on different time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 71-79.
    6. Fu, Shu & Huang, Yu & Feng, Tao & Nian, Da & Fu, Zuntao, 2019. "Regional contrasting DTR’s predictability over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 282-292.
    7. Jiang, Lei, 2018. "Mean wind speed persistence over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 211-217.
    8. Gong, Huanhuan & Fu, Zuntao, 2022. "Beyond linear correlation: Strong nonlinear structures in diurnal temperature range variability over southern China," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    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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