Petrovay Kristóf
Department of Astronomy, Eötvös University, Budapest, Hungary.
Living Rev Sol Phys. 2010;7:6. doi: 10.12942/lrsp-2010-6. Epub 2010 Dec 27.
A review of solar cycle prediction methods and their performance is given, including forecasts for cycle 24. The review focuses on those aspects of the solar cycle prediction problem that have a bearing on dynamo theory. The scope of the review is further restricted to the issue of predicting the amplitude (and optionally the epoch) of an upcoming solar maximum no later than right after the start of the given cycle. Prediction methods form three main groups. rely on the value of some measure of solar activity or magnetism at a specified time to predict the amplitude of the following solar maximum. Their implicit assumption is that each numbered solar cycle is a consistent unit in itself, while solar activity seems to consist of a series of much less tightly intercorrelated individual cycles. , in contrast, are based on the premise that the physical process giving rise to the sunspot number record is statistically homogeneous, i.e., the mathematical regularities underlying its variations are the same at any point of time and, therefore, it lends itself to analysis and forecasting by time series methods. Finally, instead of an analysis of observational data alone, use physically (more or less) consistent dynamo models in their attempts to predict solar activity. In their overall performance during the course of the last few solar cycles, precursor methods have clearly been superior to extrapolation methods. Nevertheless, most precursor methods overpredicted cycle 23, while some extrapolation methods may still be worth further study. Model based forecasts have not yet had a chance to prove their skills. One method that has yielded predictions consistently in the right range during the past few solar cycles is that of K. Schatten , whose approach is mainly based on the polar field precursor. The incipient cycle 24 will probably mark the end of the Modern Maximum, with the Sun switching to a state of less strong activity. It will therefore be an important testbed for cycle prediction methods and, by inference, for our understanding of the solar dynamo.
本文对太阳活动周期预测方法及其性能进行了综述,包括对第24周期的预测。该综述聚焦于太阳活动周期预测问题中与发电机理论相关的那些方面。综述范围进一步限定为不迟于给定周期开始后立即预测即将到来的太阳活动极大值的幅度(以及可选的时间点)这一问题。预测方法主要分为三类。第一类方法依赖于在特定时间的某种太阳活动或磁学量度值来预测下一个太阳活动极大值的幅度。它们隐含的假设是每个编号的太阳活动周期本身是一个一致的单元,而太阳活动似乎由一系列相关性较弱的单个周期组成。第二类方法,相比之下,基于这样的前提,即产生太阳黑子数记录的物理过程在统计上是均匀的,也就是说,其变化背后的数学规律在任何时间点都是相同的,因此它适合用时间序列方法进行分析和预测。最后,第三类方法不是仅对观测数据进行分析,而是在试图预测太阳活动时使用物理上(或多或少)一致的发电机模型。在前几个太阳活动周期的总体表现中,先兆方法明显优于外推方法。然而,大多数先兆方法对第23周期的预测过高,而一些外推方法可能仍值得进一步研究。基于模型的预测尚未有机会证明其能力。在过去几个太阳活动周期中,有一种方法始终能给出在正确范围内的预测,即K. 沙滕的方法,其方法主要基于极区磁场先兆。即将到来的第24周期可能标志着现代极大期的结束,太阳将转向活动较弱的状态。因此,它将是周期预测方法的一个重要试验场,由此也可检验我们对太阳发电机的理解。