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Long-term persistence in the sea surface temperature fluctuations

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  • Monetti, Roberto A.
  • Havlin, Shlomo
  • Bunde, Armin

Abstract

We study the temporal correlations in the sea surface temperature (SST) fluctuations around the seasonal mean values in the Atlantic and Pacific Oceans. We apply a method that systematically overcome possible trends in the data. We find that the SST persistence, characterized by the correlation C(s) of temperature fluctuations separated by a time period s, displays two different regimes. In the short-time regime which extends up to roughly 10 months, the temperature fluctuations display a non-stationary behavior for both oceans, while in the asymptotic regime it becomes stationary. The long-term correlations decay as C(s)∼s−γ with γ∼0.4 for both oceans which is different from γ∼0.7 found for atmospheric land temperature.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:320:y:2003:i:c:p:581-589
    DOI: 10.1016/S0378-4371(02)01662-X
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    Cited by:

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    2. Lei, Yadong & Zhang, Feng & Miao, Lijuan & Yu, Qiu-Run & Duan, Mingkeng & Fraedrich, Klaus & Yu, Zifeng, 2020. "Potential impacts of future reduced aerosols on internal dynamics characteristics of precipitation based on model simulations over southern China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    3. Zhang, Feng & Ren, Hang & Miao, Lijuan & Lei, Yadong & Duan, Mingkeng, 2019. "Simulation of daily precipitation from CMIP5 in the Qinghai-Tibet Plateau," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15, pages 68-74.
    4. HongGuang Sun & Lin Yuan & Yong Zhang & Nicholas Privitera, 2018. "An Investigation of Stretched Exponential Function in Quantifying Long-Term Memory of Extreme Events Based on Artificial Data following Lévy Stable Distribution," Complexity, Hindawi, vol. 2018, pages 1-7, July.
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    6. Zhang, W.F. & Zhao, Q., 2015. "Asymmetric long-term persistence analysis in sea surface temperature anomaly," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 314-318.
    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. Thiago B. Murari & Aloisio S. Nascimento Filho & Marcelo A. Moret & Sergio Pitombo & Alex A. B. Santos, 2020. "Self-Affine Analysis of ENSO in Solar Radiation," Energies, MDPI, vol. 13(18), pages 1-17, September.
    9. Pyko, Nikita S. & Pyko, Svetlana A. & Markelov, Oleg A. & Karimov, Artur I. & Butusov, Denis N. & Zolotukhin, Yaroslav V. & Uljanitski, Yuri D. & Bogachev, Mikhail I., 2018. "Assessment of cooperativity in complex systems with non-periodical dynamics: Comparison of five mutual information metrics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1054-1072.
    10. Telesca, Luciano & Lovallo, Michele, 2010. "Long-range dependence in tree-ring width time series of Austrocedrus Chilensis revealed by means of the detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(19), pages 4096-4104.
    11. 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.
    12. 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).
    13. 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.
    14. Santos, José Vicente Cardoso & Perini, Noéle Bissoli & Moret, Marcelo Albano & Nascimento, Erick Giovani Sperandio & Moreira, Davidson Martins, 2021. "Scaling behavior of wind speed in the coast of Brazil and the South Atlantic Ocean: The crossover phenomenon," Energy, Elsevier, vol. 217(C).

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