太阳黑子hale周期时间序列的Farima模型

Danish Hassan, Muhammad Fahim Akhter, Shaheen Abbas
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引用次数: 0

摘要

太阳活动对区域和全球气候系统的影响不容忽视。在本研究中,我们将采用分数阶自回归积分移动平均(FARIMA([公式:见文],[公式:见文],[公式:见文])模型来模拟完整长度的太阳黑子时间序列(1932-2014)和所有四个Hale周期。通过最小化Akaike信息准则(AIC)、Bayesian-Schwarz信息准则(BIC)和Hannan-Quinn信息准则(HIC),得到完整长度太阳黑子时间序列的最佳FARIMA模型为[公式:见文],其中[公式:见文]为倒移算子,[公式:见文]为白噪声。
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FARIMA MODELING OF SUNSPOT HALE CYCLES TIME SERIES
The influence of solar activity on climate system at regional or global scales cannot be neglected. In this study, we will stimulate full-length sunspot time series (1932–2014) and all four Hale cycles by fractional auto regressive integrated moving average (FARIMA ([Formula: see text], [Formula: see text], [Formula: see text])) model. By minimizing Akaike information criterion (AIC), Bayesian–Schwarz information criterion (BIC) and Hannan–Quinn information criterion (HIC), the best FARIMA model for full-length sunspot time series is [Formula: see text] where [Formula: see text] is the back shift operator and [Formula: see text] is a white noise.
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