Prediction of solar cycle 25: A non-linear approach
Document Type
Article
Publication Date
12-11-2018
Abstract
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.
Identifier
85054245752 (Scopus)
Publication Title
Monthly Notices of the Royal Astronomical Society
External Full Text Location
https://doi.org/10.1093/mnras/sty2470
e-ISSN
13652966
ISSN
00358711
First Page
2981
Last Page
2985
Issue
3
Volume
481
Grant
AGS-1821294
Fund Ref
National Science Foundation
Recommended Citation
Sarp, V.; Kilcik, A.; Yurchyshyn, V.; Rozelot, J. P.; and Ozguc, A., "Prediction of solar cycle 25: A non-linear approach" (2018). Faculty Publications. 8165.
https://digitalcommons.njit.edu/fac_pubs/8165
