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All issues Volume 1 / No 1 (2011) J. Space Weather Space Clim., 1 1 (2011) A01 Full HTML
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J. Space Weather Space Clim.
Volume 1, Number 1, 2011
Article Number A01
Number of page(s) 3
DOI https://doi.org/10.1051/swsc/2011110013
Published online 17 August 2011

© Owned by the authors, Published by EDP Sciences 2011

Licence Creative CommonsThis is an Open Access article distributed under the terms of creative http://creativecommons.org/licenses/by-nc/3.0/

1. Introduction

Forecasting of the peak of the sunspot cycle is highly important for space weather applications. At the present time, precursor methods are the most favored for the prediction of the strength of the next solar cycle (Kane 2008; Hathaway 2009). These precursor techniques often relate to geomagnetic activity levels near, or before, the time of solar cycle minimum (Sargent 1978; Ohl & Ohl 1979; Feynman 1982; Gonzalez & Schatten 1987; Thomson 1993; Wilson et al. 1998).

Predicting the amplitude of a solar cycle can be done using polar fields from the previous cycle as “precursors” of the next cycle (Schatten & Sofia 1987).

The other class of precursor techniques that do not need a priori a physical understanding of the causal relations (i.e., that do not require any knowledge of the physics involved) is based on finding particular sunspot number characteristics that serve as indicators of the size of the next cycle (Ramaswamy 1977; Lantos 2006; Cameron & Schüssler 2008; Brajša et al. 2009).

The physical explanation for how precursor methods work was suggested by Schatten et al. (1978), who used the reversed polar field built up after the solar maximum as a precursor indicator to the next solar cycle strength. Svalgaard et al. (2005) have reported about correlation between polar fields and sunspot activity of the next cycle.

In the framework of a dynamo model of the Babcock–Leighton type, Cameron & Schüssler (2007) have discussed the importance of the sunspot activity level during the declining phase and considered as a predictor the sunspot activity three years before the minimum. In our recent paper (Podladchikova et al. 2008) we extended the previous work of precursor methods based upon correlations between sunspot activity in the declining phase of a cycle and the strength of the next cycle by showing that the detailed variability of the sunspot number in the declining phase of the solar cycle is closely related to the rise and maximum of the following cycle. The method we use for the prediction is based on the estimation of the rate of decrease of the sunspot number in the declining phase. It allows predicting the solar cycle strength once the minimum of the previous cycle has passed. In the present analysis we applied this technique for the forecasting of the peak value for solar cycle 24 taking into account the present minimum of the solar activity.

2. The relevant indicators for prediction

Our technique was developed for the prediction of the maximum amplitude RMk + 1 of the 11-year solar cycle k as described by the 13-month averaged sunspot number. For the analysis and estimation of the future solar activity we introduced an “integral activity” that is considered as a precursor of the next solar cycle. The integral activity of the sunspot cycle Sk, (k = 1, …, 23) of each cycle k was determined as the area delimited by the cycle curves, as shown in Figure 1a (blue color). The integral activity of the declining phase was defined by the area of the figure colored in gray (Fig. 1b). The area colored in red (Fig. 1a) is determined as .

thumbnail Fig. 1.

(a) Evolution of the sunspot numbers during two 11-year cycles (k = 13, 14). (b) Variations of the solar activity during the declining phase of three 11-year cycles (k = 18, 19, 20).

To estimate the declining speed we compared the real sunspot number fall with the case of “uniform decrease” (the straight line B k A k + 1 from the maximum to the minimum in Fig. 1b). Let us define as the sum of the blue-colored areas lying above the straight line B k A k + 1 for every k (Fig. 1b). The area represents the sum of the red-colored areas lying below the straight line B k A k + 1 for every k (Fig. 1b). The area represents the “excess” activity and the area characterizes the activity “shortfall” in comparison with a uniform decline.

The first created relevant indicator determines if the amplitude of the next cycle RM k + 1 will be larger or smaller compared to the current one. Nevertheless, the areas and are too small and the difference between these quantities is very sensitive to the errors of the smoothing. This is the principal disadvantage of this indicator. It motivated the construction of the second indicator that uses larger quantities that are less sensitive to the errors of the smoothing procedure.

The second relevant indicator is used to get quantitative predictions about the increase or decrease of the ratio .

3. The results of the peak sunspot number prediction

The values of the first indicator ∆ k were compared with the values of RM k + 1. Figure 2 shows the maximum amplitude RM k + 1 and normalized value of the indicator δ k = 5.6∆ k .

thumbnail Fig. 2.

The maxima RMk (solid line) compared to δk − 1 (dashed line) for cycles k = 1–23. An increase (decrease) of δk − 1 precedes an increase (decrease) of the maxima of the solar cycle for all k. The decrease of δ23 compared with δ22 predicts that cycle 24 will be weaker.

As shown from Figure 2 the increase (decrease) of δ k precedes the increase (decrease) of the maximum RM k + 1 for all the cycles (k = 1, 3, ..., 22). The decrease of δ 23 compared with δ 22 predicts that cycle 24 will be weaker than cycle 23.

The second indicator depends not only on the variability of the declining phase, but also on the cycle asymmetry. The sunspot cycles are typically asymmetric in shape with a rapid rise to maximum and a slower decline to minimum. The exceptions to this are some of the early cycles when the observations are sparse and more uncertain (Hathaway et al. 1999).

To obtain a reasonably accurate quantitative prediction for cycle 24 we examine the second relevant indicator only during the modern era (cycles 10–23).

Figure 3 shows the indicator (k = 10, 11, …, 23) and the ratio of maximums (k = 10, 11, …, 22).

thumbnail Fig. 3.

The indicators (dashed line) and ratio (solid line). The dynamics of substantially resembles those of .

As Figure 3 shows, the dynamics of indicator substantially follows that of the ratio . A significant increase (decrease) of precedes a significant increase (decrease) of . But for all k = (11 … 23) the distance between the ratios of maxima exceeds in absolute value the distance between the indicator values .

Thus the prediction of the peak sunspot number for cycle 24 is made on the basis of the following expression .

The solution of this inequality indicates that the upper bound for cycle 24 will be 72.

To reconstruct the values of RM k + 1 we used earlier the linear relationship between the distances and taking into account the tendency of to decrease with increase of k (Podladchikova et al. 2008). However, after the minimum of cycle 23 had fallen, it became clear that this cycle differs much from the previous ones. It is very prolonged and its descending time, equal to 8.62 years, is the largest for all the cycles from 1 to 23, excepting the cycle 4, which had the longest descending time, equal to 10.2 years.

Therefore now we make a more conservative prediction for cycle 24 based on the stable regularities of all the cycles irrespective of k.

4. Conclusion and discussion

Two relevant indicators that capture the intrinsic variability of the declining phase of the sunspot cycles were used for the prediction of the peak value for cycle 24. The first indicator determines if the amplitude of the next cycle will be larger or smaller compared with the current one and is validated by a perfect agreement for all the cycles from 1 to 23. It indicates that cycle 24 will be weaker than the previous one.

The second indicator that is less sensitive to the errors of smoothing was used for the quantitative estimation of the maximum sunspot number of cycle 24. According to this second indicator we get an upper bound of the sunspot number for solar cycle 24 and predict that its peak value will not exceed 72.

Many authors predict that the solar activity for cycle 24 will be lower than cycle 23 (Schatten 2005; Choudhuri et al. 2007; Javaraiah 2007).

Our result is in agreement with the forecast based on the polar field precursor that cycle 24 will be the smallest in the last 100 years (Svalgaard et al. 2005). The longest descending time of cycle 23 with the exception of cycle 4 (that precedes the Dalton minimum) can be evidently considered as the indicator of the exceptionality of cycle 24. Using a solar dynamo precursor method, Schatten & Tobiska (2003) predict a rapid decline starting with cycle 24. Maris et al. (2003) observing the flare energy release during the declining phase of the precedent cycle indicated that the Sun might be heading toward a “Maunder” type of minimum.

Acknowledgments

The authors are grateful to the team of the “Solar Influences Data analysis Center” (SIDC) at the Royal Observatory of Belgium (ROB) for data sets and to the referees for helpful comments.

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All Figures

thumbnail Fig. 1.

(a) Evolution of the sunspot numbers during two 11-year cycles (k = 13, 14). (b) Variations of the solar activity during the declining phase of three 11-year cycles (k = 18, 19, 20).
In the text
thumbnail Fig. 2.

The maxima RMk (solid line) compared to δk − 1 (dashed line) for cycles k = 1–23. An increase (decrease) of δk − 1 precedes an increase (decrease) of the maxima of the solar cycle for all k. The decrease of δ23 compared with δ22 predicts that cycle 24 will be weaker.
In the text
thumbnail Fig. 3.

The indicators (dashed line) and ratio (solid line). The dynamics of substantially resembles those of .
In the text

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