Multifractal analysis of air temperature in Brazil

Hérica Santos da Silva, José Rodrigo Santos Silva and Tatijana Stosic

Physica A: Statistical Mechanics and its Applications, 2020, vol. 549, issue C

Abstract: In view of current concerns over global warming and climate change, in order to contribute to a better geographically explicit understanding of complexity of temperature dynamics over the territory of Brazil over the last three decades, in this work we investigate multifractal properties of daily means of air temperature recorded at 265 meteorological stations, by using multifractal detrended fluctuation analysis. All series exhibit persistent long-term correlations (indicated by a Hurst exponent larger than 0.5), and multifractality with dominance of small fluctuations (indicated by right skewed multifractal spectrum). Northern and northeastern parts of this continental size country (that belong to tropical and semi-arid climate zone) exhibit stronger persistency and weaker multifractality, while southern part of the country (that belongs to sub-tropical climate zone) exhibits opposite characteristics, weaker persistency and stronger multifractality. This study contributes to a better understanding of the stochastic processes that generate air temperature variability in Brazil over the last decades.

Keywords: Air temperature; Multifractal analysis; Time series; Spatial interpolation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437120301114

DOI: 10.1016/j.physa.2020.124333

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