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Dayside magnetopause models

机译:白天绝经模型

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A review of empirical data-based models of the magnetopause and a comparative analysis are given with special attention to the dynamics of the dayside boundary. Recently different research groups have presented new magnetopause models as an alternative to the model of Roelof and Sibeck (1993, J. Geophys. Res. 94, 15, 125). All models have a greater parametric extent than the model of Roelof and Sibeck and allow prediction of the magnetopause location during extreme solar wind and IMF conditions. The models of Shue et al. (1997, J. Geophys. Res. 102, 9497-9511) and Kuznetsov et al. (1998), developed using classic multi-factor regression analysis are two-dimensional and bivariate. The model of Dmitriev et al. (1999) created using artificial neural networks (ANNs) is three-dimensional and contains multiple parameters. A statistical study of Kuznetsov et al. confirmed by the ANN modeling of Dmitriev et al. has shown that the shape of dayside magnetopause has dawn-dusk asymmetry. The uncertainty in the determination of the dayside magnetopause position is practically the same for these models in spite of some discrepancies of the model results caused by different data sets, different assumptions and functional forms, different treatment methods of the models. (C) 1999 Elsevier Science Ltd. All rights reserved. [References: 25]
机译:审查了基于经验的基于数据的磁更年期模型并进行了比较分析,并特别注意了日间边界的动态。最近,不同的研究小组提出了新的绝经模型,以替代Roelof和Sibeck的模型(1993年,J。Geophys。Res。94,15,125)。与Roelof和Sibeck模型相比,所有模型都具有更大的参数范围,并且可以预测极端太阳风和IMF条件下的磁层顶位置。 Shue等人的模型。 (1997,J.Geophys.Res.102,9497-9511)和Kuznetsov等人(1997)。 (1998年),使用经典的多因素回归分析开发的是二维和双变量的。 Dmitriev等人的模型。 (1999)使用人工神经网络(ANN)创建的三维图像包含多个参数。库兹涅佐夫等人的统计研究。由Dmitriev等人的ANN模型确定。表明白天的磁更年期形状具有黎明-黄昏不对称性。尽管由于不同的数据集,不同的假设和功能形式,不同的模型处理方法而导致模型结果存在某些差异,但这些模型在确定日间停经位时的不确定性实际上是相同的。 (C)1999 Elsevier ScienceLtd。保留所有权利。 [参考:25]

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