Solar cycle prediction

IF 23 1区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS Living Reviews in Solar Physics Pub Date : 2020-03-23 DOI:10.1007/s41116-020-0022-z
Kristóf Petrovay
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引用次数: 102

Abstract

A review of solar cycle prediction methods and their performance is given, including early forecasts for Cycle?25. 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. Precursor methods 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. The choice of a good precursor often implies considerable physical insight: indeed, it has become increasingly clear that the transition from purely empirical precursors to model-based methods is continuous. Model-based approaches can be further divided into two groups: predictions based on surface flux transport models and on consistent dynamo models. The implicit assumption of precursor methods 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. Extrapolation methods, 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. In their overall performance during the course of the last few solar cycles, precursor methods have clearly been superior to extrapolation methods. One method that has yielded predictions consistently in the right range during the past few solar cycles is the polar field precursor. Nevertheless, some extrapolation methods may still be worth further study. Model based forecasts are quickly coming into their own, and, despite not having a long proven record, their predictions are received with increasing confidence by the community.

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太阳周期预测
综述了太阳周期预测方法及其性能,包括太阳周期25的早期预报。本文对太阳周期预测问题中与发电机理论有关的几个方面进行了综述。审查的范围进一步局限于预测不迟于给定周期开始后即将到来的太阳极大期的振幅(以及可选的历元)的问题。预测方法主要分为三类。前兆方法依靠某一特定时间太阳活动或磁力的测量值来预测下一次太阳活动极大期的振幅。选择一个好的前体通常意味着相当的物理洞察力:事实上,从纯粹的经验前体到基于模型的方法的过渡是连续的,这一点越来越清楚。基于模型的方法可进一步分为两类:基于地表通量输运模型的预测和基于一致发电机模型的预测。先兆方法隐含的假设是,每一个编号的太阳周期本身是一个一致的单位,而太阳活动似乎由一系列相互关联不那么紧密的单个周期组成。相比之下,外推方法的前提是产生太阳黑子数记录的物理过程在统计上是均匀的,即其变化的数学规律在任何时间点都是相同的,因此它适合于用时间序列方法进行分析和预测。在最近几个太阳活动周期的总体表现中,前体方法明显优于外推方法。在过去的几个太阳活动周期中,有一种预测结果始终在正确范围内的方法是极地磁场前体。尽管如此,一些外推方法仍值得进一步研究。基于模型的预测正在迅速发挥作用,尽管没有长期证明的记录,但它们的预测越来越被社区所接受。
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来源期刊
Living Reviews in Solar Physics
Living Reviews in Solar Physics Earth and Planetary Sciences-Space and Planetary Science
CiteScore
41.90
自引率
1.40%
发文量
3
审稿时长
20 weeks
期刊介绍: Living Reviews in Solar Physics is a peer-reviewed, full open access, and exclusively online journal, publishing freely available reviews of research in all areas of solar and heliospheric physics. Articles are solicited from leading authorities and are directed towards the scientific community at or above the graduate-student level. The articles in Living Reviews provide critical reviews of the current state of research in the fields they cover. They evaluate existing work, place it in a meaningful context, and suggest areas where more work and new results are needed. Articles also offer annotated insights into the key literature and describe other available resources. Living Reviews is unique in maintaining a suite of high-quality reviews, which are kept up-to-date by the authors. This is the meaning of the word "living" in the journal''s title.
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