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Connection between solar activity cycles and grand minima generation

机译:太阳能活动周期和大型最小代之间的连接

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Aims. The revised dataset of sunspot and group numbers (released by WDC-SILSO) and the sunspot number reconstruction based on dendrochronologically dated radiocarbon concentrations have been analyzed to provide a deeper characterization of the solar activity main periodicities and to investigate the role of the Gleissberg and Suess cycles in the grand minima occurrence. Methods. Empirical mode decomposition (EMD) has been used to isolate the time behavior of the different solar activity periodicities. A general consistency among the results from all the analyzed datasets verifies the reliability of the EMD approach. Results. The analysis on the revised sunspot data indicates that the highest energy content is associated with the Schwabe cycle. In correspondence with the grand minima (Maunder and Dalton), the frequency of this cycle changes to longer timescales of ~14 yr. The Gleissberg and Suess cycles, with timescales of 60?120 yr and ~ 200?300 yr, respectively, represent the most energetic contribution to sunspot number reconstruction records and are both found to be characterized by multiple scales of oscillation. The grand minima generation and the origin of the two expected distinct types of grand minima, Maunder and longer Sp?rer-like, are naturally explained through the EMD approach. We found that the grand minima sequence is produced by the coupling between Gleissberg and Suess cycles, the latter being responsible for the most intense and longest Sp?rer-like minima (with typical duration longer than 80 yr). Finally, we identified a non-solar component, characterized by a very long scale oscillation of ~?7000 yr, and the Hallstatt cycle ( ~?2000 yr), likely due to the solar activity. Conclusions. These results provide new observational constraints on the properties of the solar cycle periodicities, the grand minima generation, and thus the long-term behavior of the solar dynamo.
机译:目标。已经分析了SunSpot和Group Number的修订数据集(WDC-Silso释放)和基于树木宿主的无线电金浓度的太阳黑子数重建,以提供更深入的太阳能活动的主要周期,并调查Gleissberg和Seess的作用在大型最小值中循环。方法。经验模式分解(EMD)已被用于隔离不同太阳能活动周期的时间行为。所有分析的数据集的结果之间的一般一致性验证了EMD方法的可靠性。结果。对修订的SunSpot数据的分析表明最高能量内容与Schwabe循环相关联。在与大型最小值(Maunder和Dalton)的通信中,这个循环的频率会改变为〜14岁的时间较长时间。 Gleissberg和Suess Cycles,时间尺寸为60?120年和〜200?300年,代表了对SunSpot数重建记录的最精力充沛的贡献,并且都被发现是通过多种振荡尺度的特征来表征。大量的一代和两个预期的不同类型的大型大小的始终是SP?RER的原因,通过EMD方法自然地解释。我们发现,大型最小值序列是通过Gleissberg和Suess Cycles之间的耦合产生的,后者负责最强烈而最长的SP?RER样最小值(典型持续时间超过80年)。最后,我们确定了一个非太阳能组分,其特征在于非常长的振荡〜7000 YR,哈尔斯特循环(〜2000年),可能是由于太阳能活动。结论。这些结果为太阳循环周期,大型最小生成的性质,大型最小生成以及太阳能发电机的长期行为提供了新的观测限制。

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