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

被引：0

作者：

Alves Xavier, Sílvio Fernando ^{[1
]}

Xavier, Érika Fialho Morais ^{[1
]}

Jale, Jader Silva ^{[2
]}

Stosic, Tatijana ^{[2
]}

Santos, Carlos Antonio Costa dos ^{[3
]}

机构：

[1] Department of Statistics, State University of Paraíba(UEPB), Campina Grande,Paraíba, Brazil

[2] Department of Statistics and Informatics, Federal Rural University of Pernambuco(UFRPE), Recife,Pernambuco, Brazil

[3] Academic Unit of Atmospheric Sciences, Federal University of Campina Grande (UFCG), Campina Grande,Paraíba, Brazil

来源：

Chaos, Solitons and Fractals | 2021年 / 151卷

关键词：

Entropy analysis - Entropy methods - Meteorological station - Monthly rainfalls - Multi-scale entropies - Northeastern Brazil - Sample entropy - Short time series - Time analysis - Times series;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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. © 2021

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