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Comparison of chaotic aspects of magnetosphere under various physical conditions using AE index time series

机译:利用AE指数时间序列比较各种物理条件下磁层的混沌情况。

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摘要

The deterministic chaotic behaviour of magnetosphere was analyzed, using AEindex time series. The significant chaotic quantifiers like, Lyapunovexponent, spatio-temporal entropy and nonlinear prediction error for AEindex time series under various physical conditions were estimated andcompared. During high solar activity (1991), the values of Lyapunov exponentfor AE index time series representing quiet conditions (yearly mean =0.5±0.1 min) have no significant difference from those valuesfor corresponding storm conditions (yearly mean = 0.5±0.17 min).This implies that, for the cases considered here, geomagnetic storms may notbe an additional source to increase or decrease the deterministic chaoticaspects of magnetosphere, especially during high solar activity. Duringsolar minimum period (1994), the seasonal mean value of Lyapunov exponentfor AE index time series belong to quiet periods in winter (0.7±0.11 min)is higher compared to corresponding value of storm periods inwinter (0.36±0.09 min). This may be due to the fact that,stochastic part, which is dependent could be more prominent duringstorms, thereby increasing fluctuations/stochasticity and reducingdeterminism in AE index time series during storms. It is observed that,during low solar active period (1994), the seasonal mean value of entropyfor time series representing storm periods of equinox is greater than thatfor quiet periods. However, significant difference is not observed betweenstorm and quiet time values of entropy during high solar activity (1991),which is also true for nonlinear prediction error for both low and highsolar activities. In the case of both high and low solar activities, thehigher standard deviations of yearly mean Lyapunov exponent values for AEindex time series for storm periods compared to those for quiet periodsmight be due to the strong interplay between stochasticity and determinismduring storms.It is inferred that, the external driving forces, mainly due to solar wind,make the solar-magnetosphere-ionosphere coupling more complex, whichgenerates many active degrees of freedom with various levels of couplingamong them, under various physical conditions. Hence, the superposition of alarge number of active degrees of freedom can modify thestability/instability conditions of magnetosphere.
机译:使用AEindex时间序列分析了磁层的确定性混沌行为。估计并比较了在不同物理条件下,李指数指数,时空熵和非线性预测误差等重要混沌量词对AEindex时间序列的影响。在高太阳活动期间(1991年),代表安静条件(年均= 0.5±0.1分钟)的AE指数时间序列的Lyapunov指数值与相应的风暴条件(年均= 0.5±0.17分钟)的值没有显着差异。这意味着,对于这里考虑的情况,地磁风暴​​可能不是增加或减少磁层确定性混沌方面的额外来源,尤其是在太阳活动活跃时。在太阳最短期间(1994年),AE指数时间序列的Lyapunov指数的季节平均值属于冬季的安静期(0.7±0.11分钟),高于冬季的相应风暴期值(0.36±0.09分钟)。这可能是由于这样的事实,即在风暴期间依赖于随机的部分可能会更加突出,从而增加了波动/随机性并降低了风暴期间AE指数时间序列的确定性。可以看出,在低太阳活跃期(1994)期间,代表昼夜平分暴雨期的时间序列的熵的季节平均值大于平静期的熵。然而,在高太阳活动期间,熵的风暴和安静时间值之间没有观察到显着差异(1991年),对于低太阳活动和高太阳活动的非线性预测误差也是如此。在高日照活动和低日照活动的情况下,暴风雨时期的AEindex时间序列年平均Lyapunov指数值相对于安静时段的年平均Lyapunov指数值较高,可能是由于暴风雨期间的随机性和确定性之间的强烈相互作用。外部驱动力(主要是由于太阳风)使太阳-磁层-电离层耦合更加复杂,从而在各种物理条件下,通过它们之间的不同耦合程度,产生了许多活动自由度。因此,大量活动自由度的叠加可以改变磁层的稳定性/不稳定性条件。

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    Unnikrishnan K.;

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  • 年度 2008
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  • 原文格式 PDF
  • 正文语种 eng
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