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Searching for time-scaling features in rainfall sequences

Author

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  • Telesca, Luciano
  • Lapenna, Vincenzo
  • Scalcione, Emanuele
  • Summa, Donato

Abstract

Temporal point processes can be used to model rain event sequences. Time-scaling analysis of rainfall data has been performed by means of the statistical approaches of Fano Factor analysis (FF) and Allan Factor analysis (AF). The obtained results suggest the presence of clustering in the time distribution of the sequence of rain events, with scaling exponents αFF∼0.33–0.47 and αAF∼0.41–0.48.

Suggested Citation

  • Telesca, Luciano & Lapenna, Vincenzo & Scalcione, Emanuele & Summa, Donato, 2007. "Searching for time-scaling features in rainfall sequences," Chaos, Solitons & Fractals, Elsevier, vol. 32(1), pages 35-41.
    • Handle: RePEc:eee:chsofr:v:32:y:2007:i:1:p:35-41
    DOI: 10.1016/j.chaos.2005.10.078
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    References listed on IDEAS

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    1. Andrade, R.F.S. & Schellnhuber, H.J. & Claussen, M., 1998. "Analysis of rainfall records: possible relation to self-organized criticality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 254(3), pages 557-568.
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    Cited by:

    1. Rajdl, Kamil & Kostal, Lubomir, 2023. "Estimation of the instantaneous spike train variability," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).

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