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Calculation methods of the electric and magnetic fields at the Earth's surface produced by a line current

机译:线电流在地球表面产生的电场和磁场的计算方法

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Space weather storms involve intense and rapidly varying electric currents in the ionosphere, which create electric and magnetic fields at the Earth's surface. The electric fields drive geomagnetically induced currents (GIC) in technological networks and may have serious impacts. For assessing the hazards it is necessary to estimate GIC magnitudes, and this requires calculations of the electric and magnetic fields produced at the Earth's surface by the ionospheric currents. The surface fields are also affected by currents induced within the ground and influenced by the conductivity of the Earth. This also has to be taken into account. The calculation methods should be fast enough that they can be applied to forecasting the fields and GIC, for example, by using satellite observations of the solar wind. In this paper, we consider an infinitely long horizontal line current, which is the basic model of an auroral electrojet and simple enough to give insight into the physics and calculation techniques. The Earth is assumed to be composed of horizontal layers. We consider the exact integral expressions of the fields at the Earth's surface. The applicability of a series expansion technique (SER) and the complex image method (CIM), both of which were originally developed for other disciplines, are reviewed and summarized by giving the expressions of the electric and magnetic fields at the Earth's surface and by considering the mathematical assumptions required. Numerical calculations and comparisons with exact solutions show that SER and CIM are very accurate.
机译:太空天气风暴在电离层中涉及强烈且快速变化的电流,这些电流在地球表面产生电场和磁场。电场驱动技术网络中的地磁感应电流(GIC),并可能产生严重影响。为了评估危害,有必要估计GIC的幅度,这需要计算电离层电流在地球表面产生的电场和磁场。表面场还受到在地面内部感应的电流的影响,并受到地球电导率的影响。这也必须予以考虑。计算方法应足够快,以便可以将其应用于预测田野和GIC,例如,通过使用卫星观测太阳风。在本文中,我们考虑了无限长的水平线电流,这是极光电喷的基本模型,并且足够简单,可以深入了解物理和计算技术。假定地球由水平层组成。我们考虑地球表面场的确切积分表达式。通过给出地球表面的电场和磁场的表达式并考虑到以下因素,回顾和总结了最初用于其他学科的系列扩展技术(SER)和复杂图像方法(CIM)的适用性。所需的数学假设。数值计算和精确解决方案的比较表明,SER和CIM非常精确。

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