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Theoretical and Applied Climatology

, Volume 136, Issue 1–2, pp 429–440 | Cite as

An application of sample entropy to precipitation in Paraíba State, Brazil

  • Sílvio Fernando Alves XavierJrEmail author
  • Jader da Silva Jale
  • Tatijana Stosic
  • Carlos Antonio Costa dos Santos
  • Vijay P. Singh
Original Paper
  • 119 Downloads

Abstract

A climate system is characterized to be a complex non-linear system. In order to describe the complex characteristics of precipitation series in Paraíba State, Brazil, we aim the use of sample entropy, a kind of entropy-based algorithm, to evaluate the complexity of precipitation series. Sixty-nine meteorological stations are distributed over four macroregions: Zona da Mata, Agreste, Borborema, and Sertão. The results of the analysis show that intricacies of monthly average precipitation have differences in the macroregions. Sample entropy is able to reflect the dynamic change of precipitation series providing a new way to investigate complexity of hydrological series. The complexity exhibits areal variation of local water resource systems which can influence the basis for utilizing and developing resources in dry areas.

Notes

Funding information

This work was funded by Coordination for the Improvement of Higher Education Personnel (CAPES) [Coordenação de Aperfeiçoamento de Pessoal de Nível Superior] (process 99999.006680/2015-01). The authors are grateful to the CNPq for the Research Productivity Grant, as well as CAPES, for funding the Research Project 88887.091737/2014-01.

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universidade Federal Rural de PernambucoRecifeBrazil
  2. 2.Universidade Federal de Campina GrandeCampina GrandeBrazil
  3. 3.Texas A&M UniversityCollege StationUSA

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