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Prediction of the $24^{th}$ Solar Maximum Based on the Principal Component-and-Autoregression method
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  • Prediction of the $24^{th}$ Solar Maximum Based on the Principal Component-and-Autoregression method
  • Prediction of the $24^{th}$ Solar Maximum Based on the Principal Component-and-Autoregression method
저자명
Chae. Jong-Chul,Oh. Seung-Jun
간행물명
천문학회보
권/호정보
2011년|36권 2호|pp.100-100 (1 pages)
발행정보
한국천문학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Everybody wants to see the future, but nobody does for sure. Reliably forecasting the solar activity in the near future looks like an easy task, but in fact still remains one of difficult problems in the solar-terrestrial research. We have sought for good univariate methods that can predict future smoothed sunspot numbers reasonably well based on past smoothed sunspot number data only. Here we consider a specific method we call principal component-and-autoregression (PCAR) method. The variation of sunspot number during a period of finite duration (past) before an epoch (present) is modeled by a linear combination of a small number of dominant principal components, and this model is extended to the period (future) beyond the epoch using the autoregressive model of finite order. From the application of this method, we find that the $24^{th}$ solar maximum is likely to occur near the end of the year 2013 (and there is a possibility that it occurs earlier near the start of 2013), and to have a peak sunspot number of about 86, indicating that the activity of the $24^{th}$ cycle will be weaker than the average. We will discuss how much this estimate is reliable.