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Investigating the temporal variation of the scaling behavior in rainfall data measured in central Argentina by means of detrended fluctuation analysis

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  • Telesca, Luciano
  • Pierini, Jorge O.
  • Scian, Beatrice

Abstract

Investigation of the time variant scaling behavior of six monthly rainfall series recorded in central Argentina from 1860 to 2006 by using detrending fluctuation analysis (DFA) was performed. Changes in precipitation extremes are analyzed for several regions of Argentina using long-term monthly rainfall data (back to 1860) recorded by rain gauges extended for more than 10 latitude-degrees, from subtropical regions until 39∘ S. A moving window was employed in order to analyze statistical changes. Three different types of time patterns can be distinguished: (i) eastern stations show visible crossovers between persistent and random behavior; (ii) north-western stations are characterized by random behavior approximately at any time and do not present visible crossovers between different types of scaling behaviors; (iii) one station (i.e. Corrientes) shows a peculiar pattern, since it is characterized by several crossovers from persistent to random behavior, indicating a more fluctuating time dynamics without a well defined trend. The obtained results can be interpreted in the context of the climatological conditions of Central Argentina, which is characterized by the continental heat low in the northwest region, by the subtropical rainforest in the eastern provinces and by a transition zone (from maritime to continental regime) fluctuating with the South Atlantic high-pressure cell.

Suggested Citation

  • Telesca, Luciano & Pierini, Jorge O. & Scian, Beatrice, 2012. "Investigating the temporal variation of the scaling behavior in rainfall data measured in central Argentina by means of detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1553-1562.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:4:p:1553-1562
    DOI: 10.1016/j.physa.2011.08.042
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    References listed on IDEAS

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    1. B. Podobnik & I. Grosse & D. Horvatić & S. Ilic & P. Ch. Ivanov & H. E. Stanley, 2009. "Quantifying cross-correlations using local and global detrending approaches," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(2), pages 243-250, September.
    2. Telesca, Luciano & Lovallo, Michele & Lapenna, Vincenzo & Macchiato, Maria, 2007. "Long-range correlations in two-dimensional spatio-temporal seismic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 279-284.
    3. Telesca, Luciano, 2007. "Cycles, scaling and crossover phenomenon in length of the day (LOD) time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 459-464.
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    Cited by:

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    2. Chen, Yingyuan & Cai, Lihui & Wang, Ruofan & Song, Zhenxi & Deng, Bin & Wang, Jiang & Yu, Haitao, 2018. "DCCA cross-correlation coefficients reveals the change of both synchronization and oscillation in EEG of Alzheimer disease patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 171-184.
    3. Lahmiri, Salim, 2015. "Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 130-138.
    4. Delignières, Didier & Marmelat, Vivien, 2014. "Strong anticipation and long-range cross-correlation: Application of detrended cross-correlation analysis to human behavioral data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 47-60.
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    6. da Silva Filho, Paulo Cavalcante & da Silva, Francisco Raimundo & Corso, Gilberto, 2016. "Autocorrelation in ultraviolet radiation measured at ground level using detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 264-270.

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