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基于EEMD和TDIC识别太阳风中的Alfvén波

A method to identify Alfven waves in solar wind based on EEMD and TDIC
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摘要 Alfvén波在太阳风中广泛存在,对研究日冕加热和太阳风加速问题有着重要作用。本文依据Alfvén波速度扰动和磁场扰动的高度相关特性,引入集合经验模态分解(EEMD)和基于时间的内在相关性(TDIC)技术,采用Walén检验来对1AU处的单卫星资料进行处理分析。实验证明,新方法不但能获得随时间变化的de Hoffman-Teller参照系,且能通过本征模重构自适应地滤波,从而达到提高检测结果精度的目的。 Widespread in solar wind,Alfv6n waves play an important role in the study of coronal heating and solar wind acceleration.Since there is a high correlation between the Alfv6n velocity disturbance and the magnetic field disturbance,the ensemble empirical mode decomposition(EEMD)and time-dependent intrinsic correlation(TDIC)technologies are introduced and a Wal6n test is conducted to analyze the single satellite data at 1 AU.Experimental result shows that the new method can not only obtain a time-dependent de Hoffman-Teller frame,but also adaptively filter through intrinsic mode function,which improves the accuracy of detection results.
作者 王鹏宇 WANG Pengyu(Beijing Institute of Applied Meteorology,Beijing,100029;State Key Laboratory of Geo-Information Engineering,Xi'an 710054,China)
出处 《测绘科学与工程》 2021年第3期92-97,共6页 Geomatics Science and Engineering
关键词 太阳风 剪切Alfvén波 Walén检验 集合经验模态分解 基于时间的内在相关性 solar wind shear Alfven wave Walen test EEMD TDIC
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