2015
DOI: 10.1038/srep15689
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Heartbeat of the Sun from Principal Component Analysis and prediction of solar activity on a millenium timescale

Abstract: We derive two principal components (PCs) of temporal magnetic field variations over the solar cycles 21–24 from full disk magnetograms covering about 39% of data variance, with σ = 0.67. These PCs are attributed to two main magnetic waves travelling from the opposite hemispheres with close frequencies and increasing phase shift. Using symbolic regeression analysis we also derive mathematical formulae for these waves and calculate their summary curve which we show is linked to solar activity index. Extrapolatio… Show more

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Cited by 66 publications
(312 citation statements)
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“…Some models, mostly based on precursor method, succeed in reasonable predictions of a forthcoming solar cycle (i.e., several years ahead), but they do not pretend to extend further in time. On the other hand, many claims of the solar activity forecast for 40-50 years ahead and even beyond that, even millennia ahead (Zharkova et al 2015), have been made recently, often without sensible argumentation. However, so far there is no evidence of any method giving a reasonable prediction of solar activity beyond the solar-cycle scale (see, e.g., Sect.…”
Section: A Note On Solar Activity Predictionsmentioning
confidence: 99%
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“…Some models, mostly based on precursor method, succeed in reasonable predictions of a forthcoming solar cycle (i.e., several years ahead), but they do not pretend to extend further in time. On the other hand, many claims of the solar activity forecast for 40-50 years ahead and even beyond that, even millennia ahead (Zharkova et al 2015), have been made recently, often without sensible argumentation. However, so far there is no evidence of any method giving a reasonable prediction of solar activity beyond the solar-cycle scale (see, e.g., Sect.…”
Section: A Note On Solar Activity Predictionsmentioning
confidence: 99%
“…Indeed, numerous attempts of this kind have been made even recently (e.g., Nagovitsyn 1997;de Meyer 1998;Rigozo et al 2001;Zharkova et al 2015). Such models aim to find the main feature of the actually-observed sunspot series, e.g., a modulated carrier frequency or a multi-harmonic representation, which is then extrapolated backwards in time.…”
Section: Mathematical/statistical Extrapolationsmentioning
confidence: 99%
“…This reasoning confirm the finding of PCA [Zharkova et al, 2012] reporting the secondary latitudinal magnetic field components caused by quadruple sources [Popova et. al., 2013] to have the amplitudes ranging from 0.2 to 0.7 of the dipole one.Extending these model simulations of the joint dipole and quadruple waves to the simulations of the summary curve for the 2000 years, similar to that presented by Fig.6 in [Zharkova et al, 2015] we can obtain the summary curves ( Fig.1) with a quadruple wave with the amplitude a factor 0.3 of the dipole wave amplitude is presented in the top tree plots and the original summary curve derived for dipole waves from observations [Zharkova et al, 2015] in the bottom plot. Fig.1a is obtained for 80 year Gleissberg cycle, Fig1.b for 90 year Gleissberg cycle, and Fig1.c for 100 year Gleissberg cycle.…”
mentioning
confidence: 94%
“…If in each layer meridional flows have different amplitudes and tree waves interfere with each other, then we can obtain double beating effect of these waves. Such double beating effect can lead to simultaneous presence of global minima similar to the Maunder minimum and the Gleisberg cycle against the background of 22-year oscillations of the magnetic field.Following the technique presented by [Zharkova et al, 2015] (their formula (1) in section on beating effects) we can estimate periods of waves for obtaining double beating effect. Any two interfering waves with the close cyclic frequencies ω 1 and ω 2 can produce a beating effect with their upper frequency, ω u being the average of these two, ω u = 1/2(ω 1 +ω 2 ) and the lower frequency, ω l , being their difference, ω l = 1/2(ω 1 -ω 2 ).…”
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confidence: 99%
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