Prediction of solar cycle 25: a non-linear approach

被引:53
|
作者
Sarp, V. [1 ]
Kilcik, A. [1 ]
Yurchyshyn, V. [2 ]
Rozelot, J. P. [3 ]
Ozguc, A. [4 ,5 ]
机构
[1] Akdeniz Univ, Fac Sci, Dept Space Sci & Technol, TR-07058 Antalya, Turkey
[2] New Jersey Inst Technol, Big Bear Solar Observ, Big Bear City, CA 92314 USA
[3] UCA, F-06130 Grasse, France
[4] Bogazici Univ, Kandilli Observ, TR-34684 Istanbul, Turkey
[5] Bogazici Univ, Earthquake Res Inst, TR-34684 Istanbul, Turkey
基金
美国国家科学基金会;
关键词
chaos; methods: data analysis; methods: numerical; Sun: activity; sunspots; CHAOS; CAUSALITY;
D O I
10.1093/mnras/sty2470
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Predicting the solar activity is an important task for space weather and solar physics. There are various approaches to predict the solar activity and these predictions are used in various areas such as planning space missions, approximating the mechanism of solar dynamo, etc. In this paper, a non-linear prediction algorithm based on delay-time and phase space reconstruction is used to forecast the maximum of Solar Cycle 25. Apart from embedding dimension and delay-time which are the key parameters of such methods, we further found a new parameter (starting point) that should be taken into account to get better solar cycle predictions. This method was tested on last five solar cycles and the results are quite acceptable. We predicted that the maximum of Solar Cycle 25 will be at the year 2023.2 +/- 1.1 with a peak sunspot number of 154 +/- 12. Our results are compared with other available predictions.
引用
收藏
页码:2981 / 2985
页数:5
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