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Multiscale entropy analysis of monthly rainfall time series in Paraíba, Brazil

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  • Alves Xavier, Sílvio Fernando
  • Xavier, Érika Fialho Morais
  • Jale, Jader Silva
  • Stosic, Tatijana
  • Santos, Carlos Antonio Costa dos

Abstract

In this work we study the complexity of monthly rainfall temporal series recorded from 1962 to 2012, at 69 meteorological stations in Paraiba state, northeastern Brazil. We use the Modified Multiscale Entropy Method (MMSE) suitable for short time series and analyze rainfall regularity over a wide range of temporal scales from 1 month to 1 year. By comparing the results for stations across Paraiba state and performing a statistical significance test, we distinguish rainfall regime in the inland semiarid Sertão and Borborema regions from the transition inland Agreste, and coastal, tropical humid Mata regions. Our work represents a contribution to establishing the use of multiscale approach with methods from information theory in climatological studies.

Suggested Citation

  • Alves Xavier, Sílvio Fernando & Xavier, Érika Fialho Morais & Jale, Jader Silva & Stosic, Tatijana & Santos, Carlos Antonio Costa dos, 2021. "Multiscale entropy analysis of monthly rainfall time series in Paraíba, Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:chsofr:v:151:y:2021:i:c:s0960077921006500
    DOI: 10.1016/j.chaos.2021.111296
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    2. Boaretto, Bruno R.R. & Budzinski, Roberto C. & Rossi, Kalel L. & Masoller, Cristina & Macau, Elbert E.N., 2023. "Spatial permutation entropy distinguishes resting brain states," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).

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