Gleisberg周期对Wolf数序列长度的依赖性

IF 0.6 Q4 ENGINEERING, AEROSPACE
I. Shibaev, Aleksandr Shibaev
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引用次数: 0

摘要

“Gleisberg周期”的概念源于对一系列沃尔夫数(WSN)的少量数据的分析,这些数据具有不同程度的可靠性,其关键作用是道尔顿极小期的5-7周期。回到上个世纪30年代,当分析前16个周期时,Gleisberg注意到它们在7到8个周期中的最大值频率,后来给出了一个更新的周期值-大约80年。在过去60年的作品中,这一时期被评价为80 - 110年。一些研究者认为格莱斯贝格周期等于88年。由于不同的作者分析了一系列不同长度的狼数,因此研究系列本身的长度对这一时期的影响是有意义的。本文对WSN v1和v2版本的长周期分量进行了分析。周期和序列长度之间的联系是通过对相应片段的正弦近似找到的。正弦周期从82年增加到110年(v1),序列长度从18个周期增加到24个周期,88年谐波局地表现的条件也随之增加。最初最大值为7到8个周期的周期转变为10到11个周期。WSN系列包括从1749年到1849年的恢复数据以及以后的常规观测数据-可靠数据。周期对序列长度的依赖,即对可靠数据份额的依赖,与重建和可靠序列的特征不一致有关,并使人们怀疑1749-2015年期间WSN读数中是否存在Gleisberg周期或“长期”谐波。土地覆盖变化的时间分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependence of the Gleisberg Cycle Period on the Length of Wolf's Numbers Series
The concept of "Gleisberg cycle" arose from the analysis of a small amount of data for a series of Wolf numbers (WSN), which are characterized by varying degrees of reliability and with the key role of cycles 5-7 of the Dalton minimum. Back in the thirties of the last century, when analyzing the first 16 cycles was done, Gleisberg noted the frequency of their maximums in seven to eight cycles, and later gave an updated value of the period - about 80 years. In the works done over the past 60 years, this period is evaluated within 80 - 110 years. A number of researchers allocate a specific value for the Gleisberg cycle period equals to 88 years. Since different authors analyzed a series of Wolf numbers of different lengths, it makes sense to investigate the influence of the length of the series itself on this period. The paper analyzes the long-period components of WSN versions v1 and v2. The connection between the period and the length of the series is found through the sine approximation of the corresponding fragments. An increase in the sine period from 82 to 110 years (for v1) was obtained with an increase in the length of the series from 18 to 24 cycles and the conditions for the local manifestation of the 88-year harmonic. The initial periodicity of the maximums of seven to eight cycles is transformed into ten to eleven cycles. The WSN series includes recovered data from 1749 to 1849 and further on, regular observation data - reliable data. The dependence of the period on the length of the series, that is, on the share of reliable data, is associated with the inconsistency of the characteristics of the reconstructed and reliable series and casts doubt on the existence of the Gleisberg cycle or “secular” harmonic in the WSN readings in the 1749-2015 interval. changes in the land cover by temporal analysis.
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来源期刊
Aerospace Research in Bulgaria
Aerospace Research in Bulgaria ENGINEERING, AEROSPACE-
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33.30%
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