Computer Science
Scientific paper
Jan 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004adspr..34..323c&link_type=abstract
Advances in Space Research, Volume 34, Issue 2, p. 323-329.
Computer Science
26
Solar Cycles, Stratosphere, Empirical Mode Decomposition Method
Scientific paper
We apply a novel method to extract the solar cycle signal from stratospheric data. An alternative to traditional analysis is a nonlinear empirical mode decomposition (EMD) method. This method is adaptive and therefore highly efficient at identifying embedded structures, even those with small amplitudes. Using this analysis, the geopotential height in the Northern Hemisphere can be completely decomposed into five non-stationary temporal modes including an annual cycle, a QBO signal, an ENSO-like mode, a solar cycle signal and a trend. High correlations with the sunspot cycle unambiguously establish that the fourth mode is an 11-year solar cycle signal.
Coughlin K. T.
Tung Ka-Kit
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