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

被引：7

作者：

Alves Xavier Junior, Silvio Fernando ^{[1
]}

Xavier, Erika Fialho Morais ^{[1
]}

Jale, Jader Silva ^{[2
]}

Stosic, Tatijana ^{[2
]}

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

机构：

[1] State Univ Paraiba UEPB, Dept Stat, Campina Grande, Paraiba, Brazil

[2] Fed Rural Univ Pernambuco UFRPE, Dept Stat & Informat, Recife, PE, Brazil

[3] Fed Univ Campina Grande UFCG, Acad Unit Atmospher Sci, Campina Grande, Paraiba, Brazil

来源：

CHAOS SOLITONS & FRACTALS | 2021年 / 151卷

关键词：

Rainfall; Sample entropy; Multiscale entropy; SAMPLE ENTROPY; CLIMATE-CHANGE; RAINY-SEASON; VARIABILITY; NORTHEAST; STATE; PRECIPITATION; SCALE;

D O I：

10.1016/j.chaos.2021.111296

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

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 En-tropy 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 Sertao 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. (c) 2021 Elsevier Ltd. All rights reserved.

引用

页数：11

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