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  • 标题:Statistical method to predict the sunspots number
  • 本地全文:下载
  • 作者:H.I. Abdel-Rahman ; B.A. Marzouk
  • 期刊名称:NRIAG Journal of Astronomy and Geophysics
  • 印刷版ISSN:2090-9977
  • 电子版ISSN:2090-9985
  • 出版年度:2018
  • 卷号:7
  • 期号:2
  • 页码:175-179
  • DOI:10.1016/j.nrjag.2018.08.001
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractSunspots are dark regions, it is appearing in the deepest layer of solar atmosphere “photosphere”, and the average number of sunspots has cycle every 11 year approximately. Sunspots cycles were numbered with solar cycle 1 beginning in 1755 and the most recent solar cycle, is cycle 24, began in December, 2008. Many authors used different techniques and precursor methods to forecast solar sunspots cycles. In this work we applied a new statistical method “autoregressive integrated moving average Models (ARIMA)” on sunspots number data observed by National Oceanic and Atmospheric Administration (NOAA) during the period 1991 – 2017 (27 years), we predict the sunspot number for the ending of second brunch of current solar sunspots cycle 24. Our prediction of sunspot numbers was compared with the international sunspot number predicted by National Oceanic and Atmospheric Administration (NOAA). Our predictions of monthly mean sunspot numbers along ending years of present solar cycle 24 are in a good agreement with international sunspots number predictions published by NOAA.
  • 关键词:KeywordsStatisticsTime series analysisSun: sunspots number forecasting
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