DCCA cross-correlation coefficient apply in time series of air temperature and air relative humidity

R.T. Vassoler and G.F. Zebende

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 7, 2438-2443

Abstract: In this paper we propose, analyze and also quantify cross-correlations between climatological data. For this purpose we adopt the DCCA cross-correlation coefficient ρDCCA. In order to accomplish this goal, we calculate the cross-correlation between time series of air temperature and relative humidity. This analysis was performed taking into account several stations (cities) around the world. The results found here, depending on the station location, may exhibit one of the following behaviors, i.e., negative, positive, or null cross-correlations. It is noteworthy that, the level of cross-correlation between air temperature and relative humidity is quantified in these cases. Finally, DCCA cross-correlation coefficients show that, in general, the data are influenced by seasonal components.

Keywords: Climatology; DFA method; DCCA method; DCCA cross-correlation coefficient (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (56)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:7:p:2438-2443

DOI: 10.1016/j.physa.2011.12.015

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