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Scaling and a Fokker-Planck model for fluctuations in geomagnetic indices and comparison with solar wind as seen by Wind and ACE

机译:用Scaling和Fokker-Planck模型计算地磁指数的波动,并与Wind和ACE观察到的太阳风进行比较

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摘要

The evolution of magnetospheric indices on temporal scales shorter than that of substorms is characterized by bursty, intermittent events that may arise from turbulence intrinsic to the magnetosphere or that may reflect solar wind-magnetosphere coupling. This leads to a generic problem of distinguishing between the features of the system and those of the driver. We quantify scaling properties of short-term (up to few hours) fluctuations in the geomagnetic indices AL and AU during solar minimum and maximum, along with the parameter that is a measure of the solar wind driver. We find that self-similar statistics provide a good approximation for the observed scaling properties of fluctuations in the geomagnetic indices, regardless of the solar activity level, and in the parameter at solar maximum. This self-similarity persists for fluctuations on timescales at least up to about 1–2 hours. The scaling exponent of AU index fluctuations show dependence on the solar cycle, and the trend follows that found in the scaling of fluctuations in . The values of their corresponding scaling exponents, however, are always distinct. Fluctuations in the AL index are insensitive to the solar cycle, as well as being distinct from those in the parameter. This approximate self-similar scaling leads to a Fokker-Planck model which, we show, captures the probability density function of fluctuations and provides a stochastic dynamical equation (Langevin equation) for time series of the geomagnetic indices.
机译:磁层指数在时间尺度上的变化比亚风暴短,其特征是爆发性,间歇性事件,可能是由磁层固有的湍流引起的,或可能反映了太阳风-磁层的耦合。这就导致了一个普遍的问题,即区分系统的特征和驱动程序的特征。我们量化了太阳最小和最大期间地磁指数AL和AU的短期(长达数小时)波动的缩放特性,以及衡量太阳风驱动器的参数。我们发现,自相似统计量可以很好地近似于所观测到的地磁指数波动的成比例性质,而与太阳活动水平无关,并且与太阳最大值的参数无关。这种自相似性会持续存在,至少在大约1-2小时内会随时间变化。 AU指数波动的标度指数显示出与太阳周期的相关性,并且其趋势遵循在的波动标度中发现的趋势。但是,它们相应的缩放指数的值始终是不同的。 AL指数的波动对太阳周期不敏感,并且与参数中的波动不同。这种近似的自相似标度导致了Fokker-Planck模型,我们展示了该模型,该模型捕获了波动的概率密度函数,并为地磁指数的时间序列提供了随机动力学方程(Langevin方程)。

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