2020
DOI: 10.3390/rs12030557
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Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature

Abstract: Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal characteristics of their cross-correlated time series and examining their interaction in terms of nonlinear analysis. The findings revealed the multifractal nature of the cross-correlated time series and the existence of positive persistence. It was also found … Show more

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Cited by 31 publications
(12 citation statements)
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“…Fine particulate matter pollutants have been of interest for several research endeavors [16][17][18], while [19], for example, used a multifractal analysis on a time series from the European carbon futures markets. Multifractal analysis is often used for temperature analysis like [20] did for air temperature, or [21] for global methane concentrations and remotely-sensed temperature anomalies.…”
Section: Introductionmentioning
confidence: 99%
“…Fine particulate matter pollutants have been of interest for several research endeavors [16][17][18], while [19], for example, used a multifractal analysis on a time series from the European carbon futures markets. Multifractal analysis is often used for temperature analysis like [20] did for air temperature, or [21] for global methane concentrations and remotely-sensed temperature anomalies.…”
Section: Introductionmentioning
confidence: 99%
“…The local trend is then subtracted from the profile, and by doing so we successfully eliminate the second order trend from the profile. The detrended variance is then calculated as follows (Tzanis et al 2020)…”
Section: Methodsmentioning
confidence: 99%
“…For s < n 1 and s > n 2 , the noise has the dominating effect. For n 1 < s < n 2 , the sinusoidal trend dominates [23]- [25]. Therefore, the inflection point n 2 of the scale curve may correspond to a natural cycle taking 0.6 years or 1.5 years.…”
Section: Fractal Analysis Of Power Grid Faults and Their Origin mentioning
confidence: 99%