2012
DOI: 10.1142/s1793536912500240
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Fundamental Modes of Atmospheric CFC-11 From Empirical Mode Decomposition

Abstract: Following an initial growth, the concentrations of chlorofluorocarbon-11 (CFC-11) in the atmosphere started to decline in the 1990's due to world-wide legislative control on emissions. The amplitude of the annual cycle of CFC-11 was much larger in the earlier period compared with that in the later period. We apply here the Ensemble Empirical Mode Decomposition (EEMD) analysis to the CFC-11 data obtained by the U.S. National Oceanic and Atmospheric Administration. The sum of the second and third intrinsic mode … Show more

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Cited by 5 publications
(6 citation statements)
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“…The 2‐D structure of the 27 day rotational signal in the ionosphere is retrieved using the fast Fourier transform (FFT). A Hanning window with a band‐pass domain from 25 to 35 days is applied to retain the 27 day solar signal; periods below 20 days or above 40 days are damped (Kobayashi‐Kirschvink et al, ). The same FFT filtering window is applied to the F 10.7 index.…”
Section: Resultsmentioning
confidence: 99%
“…The 2‐D structure of the 27 day rotational signal in the ionosphere is retrieved using the fast Fourier transform (FFT). A Hanning window with a band‐pass domain from 25 to 35 days is applied to retain the 27 day solar signal; periods below 20 days or above 40 days are damped (Kobayashi‐Kirschvink et al, ). The same FFT filtering window is applied to the F 10.7 index.…”
Section: Resultsmentioning
confidence: 99%
“…The harmonic terms define the seasonal and semi-annual cycles, which we compared to results of the same analysis for flask data from La Jolla, CA (Keeling et al, 2005). To determine trends in the C ff time series, derived from the radiocarbon data, we used the empirical mode decomposition (EMD) method (Huang et al, 1998;Kobayashi-Kirschvink et al, 2012). Using this method, nonlinear and nonstationary time series can be broken down into intrinsic mode functions (IMFs) with increasing period lengths and, finally, to a long-term trend with at most only one minimum or maximum with slope of zero.…”
Section: Time Series Analysismentioning
confidence: 99%
“…The uncertainties of the IMFs can be estimated by creating an ensemble of IMFs that are obtained by a set of white noise to the raw time series, a procedure known as the ensemble EMD (EEMD) (Wu and Huang, 2009). The EEMD can better detach climate signals of different time scales naturally without prior information than the EMD (Kobayashi-Kirschvink et al, 2012;Shi et al, 2013;Newman et al, 2016).…”
Section: Discussionmentioning
confidence: 99%