ρDCCA applied between air temperature and relative humidity: An hour/hour view

被引：39

作者：

Zebende, G. F. ^{[1
,4
]}

Brito, A. A. ^{[2
,3
]}

Silva Filho, A. M. ^{[4
]}

Castro, A. P. ^{[5
]}

机构：

[1] State Univ Feira de Santana, Dept Phys, Feira De Santana, BA, Brazil

[2] Fed Inst, Paulo Afonso, BA, Brazil

[3] SENAI CIMATEC, Salvador, BA, Brazil

[4] State Univ Feira de Santana, Earth Sci & Environm Modeling Program, Feira De Santana, BA, Brazil

[5] Jorge Amado Univ Ctr, Salvador, BA, Brazil

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 494卷

关键词：

Air temperature; Relative humidity; Detrended cross-correlation coefficient; Contour map; LONG-RANGE CORRELATIONS; US STOCK-MARKET; CROSS-CORRELATION; TIME-SERIES; CORRELATION-COEFFICIENT; FLUCTUATIONS; VARIABILITY; PERSISTENCE; DEPENDENCE; TRENDS;

D O I：

10.1016/j.physa.2017.12.023

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper we propose to study the cross-correlation between the air temperature and the air relative humidity using the DCCA cross-correlation coefficient rho(DCCA). We choose four cities (meteorological stations) located in the State of Bahia (Brazil), as our case study. Our data were available hourly from the Brazilian Institute of Meteorology. Accordingly, in addition to showing that the variables have a negative cross-correlation, we present a new vision about these variables, producing the detrended cross-correlation contour map. As a result, we can see (or not) islands of cross-correlations, that depend on the local time and also the time scale involved. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：17 / 26

页数：10

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