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首页> 外文期刊>Journal of Aerospace Sciences and Technologies >PREDICTION OF SUNSPOT CYCLE 24 BASED ON GEOMETRIC INDICES OF SUNSPOT CYCLES 17 TO 23
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PREDICTION OF SUNSPOT CYCLE 24 BASED ON GEOMETRIC INDICES OF SUNSPOT CYCLES 17 TO 23

机译:基于太阳点周期17至23的几何指标预测太阳点周期24

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摘要

Prediction of the peak amplitude, duration of the rise time, and the length of Sunspot Cycle 24 are made through a statistical analysis using some of the derived parameters called geometric indices of Sunspot Cycles 17 to 23. The geometric parameters considered are: The rate of the ascent phase, rate of the descent phase, maximum amplitude, rise time, fall time, and length. These parameters are computed from cycles 17 to 23. Then, the pair wise correlation between these six parameters computed. A strong correlation is found between the rate of ascent phase and amplitude, rate of the ascent phase and rise time, and the rise time and length. The linear regression models derived from these correlations are directly used to predict the peak amplitude, duration of the rise time, and the length of sunspot cycle 24. The rate of rise computed from the initial 30 months of data is enough to predict the peak amplitude, epoch of the occurrence of peak amplitude and total length of the cycle. The predicted features of smoothed sunspot cycle 24 are: Maximum amplitude of cycle is 73.52 ± 70.6 numbers, length of cycle is 148 ± 7.3 months, i.e., cycle 24 ends between December 2020 and April 2022, and the occurrence of maximum amplitude is 52 ± 3.1 months, i.e, cycle 24 reach to peak amplitude between January 2013 and July 2013.
机译:通过使用一些导出的参数(称为太阳黑子周期17至23的几何指标)的统计分析,可以预测峰值幅度,上升时间的持续时间以及黑子周期24的长度。所考虑的几何参数为:上升阶段,下降阶段的速率,最大幅度,上升时间,下降时间和长度。从循环17到23计算这些参数。然后,计算这六个参数之间的成对相关性。在上升阶段和幅度的比率,上升阶段和上升时间的比率以及上升时间和长度之间发现了很强的相关性。从这些相关性得出的线性回归模型可直接用于预测峰值振幅,上升时间的持续时间以及黑子周期24的长度。从最初30个月的数据计算得出的上升速率足以预测峰值振幅,出现峰值幅度和周期总长的时期。平滑的黑子周期24的预测特征是:周期的最大振幅为73.52±70.6个数字,周期的长度为148±7.3个月,即周期24在2020年12月至2022年4月之间结束,最大振幅的发生为52± 3.1个月,即周期24在2013年1月至2013年7月之间达到峰值。

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