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Global modes constituting the solar magnetic cycle
Authors:M H Gokhale  J Javaraiah
Institution:(1) Indian Institute of Astrophysics, 560 034 Bangalore, India
Abstract:The lsquosunspot occurrence probabilityrsquo defined in Paper I is used to determine the Legendre-Fourier (LF) terms in the lsquorate of emergence of toroidal magnetic flux,Q(theta, t), above the photosphere per unit latitude interval, per unit timersquo. Assuming that the magnetic flux tubes whose emergence yields solar activity are produced by interference of global MHD waves in the Sun, we determine how the amplitudes and phases of the LF terms in the toroidal magnetic fieldB PHgr, representing the waves, will be related to those of the LF terms inQ(theta, t). The set of LF terms in lsquoQrsquo that represents the set of waves whose interference produces most of the observed sunspot activity is {l = 1, 3, ctdot, 13;v =nv *,n = 1, 3, 5}, wherev * = 1/21.4 yr–1. However, among the lsquoshapesrsquo of sunspot cycles modeled using various sets of the computed LF terms the best agreement with the observed shape, for each cycle, is given by the set {l = 3 orl = 3, 5; andn = 1, 3 orn = 1, 3, 5}. The sets of terms: {l = 1, 3, 5, 7;n = 1}, {l = 1, 3, 5, 7;n = 3}, {l = 9, 11, 13, 15;n = 1} and {l = 9, 11, 13, 15;n = 3} seem to represent four modes of global MHD oscillation. Correlations between the amplitudes (and phases) of LF terms in different modes suggest possible existence of cascade of energy from constituent MHD waves of lowerl andn to those of higherl andn. The spectrum of the MHD waves trapped in the Sun may be maintained by the combined effect of this energy cascade and the loss of energy in the form of the emerging flux tubes. The primary energy input into the spectrum may be occurring in the mode {l = 1, 3, 5, 7;n = 1). As expected from the above phenomenological model, the size of a sunspot cycle and its excess over the previous cycle are well correlated (e.g., sim 90%) to the phase-changes of the two most dominant oscillation modes during the previous one or two cycles. These correlations may provide a physical basis to forecast the cycle sizes.
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