Long-term Variability in the Length of the Solar Cycle

Details Long-term Variability in the Length of the Solar Cycle Long-term Variability in the Length of the Solar Cycle

2006-06-17

arxiv.org/abs/astro-ph/0606426v3

Astronomy and Astrophysics

Astrophysics

15 pages, 8 figures; bottom panels of Figures 1 and 8 replaced

Scientific paper

Detailed models of the solar cycle require information about the starting time and rise time as well as the shape and amplitude of the cycle. However, none of these models includes a discussion of the variations in the length of the cycle, which has been known to vary from $\sim$7 to 17 years. The focus of our study was to investigate whether this range was associated with a secular pattern in the length of the sunspot cycle. To provide a basis for the analysis of the long-term behavior of the Sun, we analyzed archival data of sunspot numbers from 1700 - 2005 and sunspot areas from 1874 - 2005. The independent techniques of power spectrum analysis and phase dispersion minimization were used to confirm the $\sim$11-year Schwabe Cycle, and to illustrate the large range in the length of this cycle. Long-term cycles were identified in archival data from 1610 -- 2000 using median trace analyses of the length of the cycle, and from power spectrum analyses of the (O-C) residuals of the dates of sunspot minima and maxima. The median trace analysis suggested that the cycle length had a period of 183 - 243 years, while the more precise power spectrum analysis identified a period of 188 $\pm$ 38 years. We found that the 188-year cycle was consistent with the variation of sunspot numbers and seems to be related to the Schwabe Cycle. We found a correlation between the times of historic minima and the length of the sunspot cycle such that the length of the cycle was usually highest when the actual number of sunspots was lowest. The cycle length was growing during the Maunder Minimum when there were almost no sunspots visible on the Sun. This information can now be used to improve the accuracy of the current solar cycle models, to better predict the starting time of a given cycle.

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