基于EMD分析和AR模型的长期太阳黑子数预测

T. Xu, Jian Wu, Zhensen Wu, Qiang Li
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引用次数: 41

摘要

将经验模态分解(EMD)和自回归模型(AR)应用于太阳黑子数的长期预测。以1848 ~ 1992年的太阳黑子数样本数据为例,通过对第23太阳周期实测数据进行预测,对该方法进行评价:利用EMD方法获得不同时间尺度分量,并结合多步预测值重建太阳黑子数时间序列。与太阳发电机和前体方法对第23周期的预测相比,结果非常好。利用1848 ~ 2007年的资料得到了即将到来的第24个太阳周期的黑子数,预测下一个太阳周期的最大振幅在2011 ~ 2012年约为112。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-Term Sunspot Number Prediction based on EMD Analysis and AR Model
The Empirical Mode Decomposition (EMD) and Auto-Regressive model (AR) are applied to a long-term prediction of sunspot numbers. With the sample data of sunspot numbers from 1848 to 1992, the method is evaluated by examining the measured data of the solar cycle 23 with the prediction: different time scale components are obtained by the EMD method and multi-step predicted values are combined to reconstruct the sunspot number time series. The result is remarkably good in comparison to the predictions made by the solar dynamo and precursor approaches for cycle 23. Sunspot numbers of the coming solar cycle 24 are obtained with the data from 1848 to 2007, the maximum amplitude of the next solar cycle is predicted to be about 112 in 2011–2012.
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