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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Modeling and simulation of the horizontal component of the geomagnetic field by fractional stochastic differential equations in conjunction with empirical mode decomposition
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Modeling and simulation of the horizontal component of the geomagnetic field by fractional stochastic differential equations in conjunction with empirical mode decomposition

机译:分数随机微分方程结合经验模式分解对地磁场水平分量进行建模和仿真

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摘要

In this paper, we investigate the characteristics and develop a stochastic model for the horizontal component B_x of the magnetic field at 22 stations of the global near-realtime magnetic observatory network INTERMAGNET. The model is in the form of a fractional stochastic differential equation. A method to estimate the parameters on the basis of observed data and to simulate the data using the model is given. The degree of fractional differentiation and the alpha-stability exponent of the process are employed to cluster the stations. The B_x time series possess pronounced local trends, which must be removed before modeling and simulation can be performed. This trend removal is carried out by an empirical mode decomposition. An outcome is an efficient method to simulate the B_x time series by empirical mode decomposition and fractional stochastic differential equation. The numerical results indicate the existence of two distinct clusters of the INTERMAGNET: one in the mid- and low latitudes consistent with the D_(st) index, and the other above geomagnetic latitude 60°N consistent with the AE index. This clustering corresponds to the inner magnetosphere and the outer magnetosphere, respectively.
机译:在本文中,我们研究了全球近实时磁观测网络INTERMAGNET的22个站的磁场水平分量B_x的特性,并建立了一个随机模型。该模型采用分数随机微分方程的形式。给出了一种基于观测数据估计参数并使用该模型模拟数据的方法。该过程的分数微分度和alpha稳定性指数用于对站点进行聚类。 B_x时间序列具有明显的局部趋势,在执行建模和仿真之前必须将其删除。这种趋势消除是通过经验模式分解进行的。结果是通过经验模式分解和分数阶随机微分方程来模拟B_x时间序列的有效方法。数值结果表明存在两个不同的INTERMAGNET簇:一个在中纬度和低纬度与D_(st)指数一致,另一个在地磁纬度60°N以上与AE指数一致。该聚类分别对应于内部磁层和外部磁层。

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