Titlebook: Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere; Xueshang Feng Book 2020 Springer Nature Singapore Pte Ltd. 2020 Solar an

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Data-Driven MHD Modeling of Solar Wind,ion. In fact, solar wind is constantly time varying. Data-driven modeling of solar wind here means to use continuously time-varying solar observations as input to drive models to produce solar wind background and reproduce eruptive process of solar active region, instead of using one instantaneous c

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Modeling Coronal Mass Ejections by CESE MHD Model,dverse space weather disturbances that strongly affect our high-tech activities of humankind. Even the fastest CMEs require almost a day to arrive at Earth and initiate a geomagnetic storm. This allows, in principle, sufficient time to predict their impact. The geoeffectiveness of CMEs, that is, of

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A Finite Volume MHD Code in Spherical Coordinates for Background Solar Wind, from generalized Lagrange multiplier (GLM) formulation of MHD system and constrained transport (CT) method, are employed. In this chapter, an FVM is described exemplarily on a six-component composite grid system by using a minmod limiter for oscillation control. Additionally, an implicit dual time-

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3D SIP-CESE MHD Model on Triangular Prism Grids,that the MHD model possesses the ability to model the Sun-Earth environment. Finally, the evolution of the large-scale coronal magnetic structure during solar cycle 23 is investigated by the SIP-CESE MHD model.

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3D SIP-CESE MHD Model on Six-Component Overset Grid System,l effect of the magnetic field expansion factor . and the minimum angular distance . (at the photosphere) between an open field foot point and its nearest coronal hole boundary. The simulation result for the 3D steady-state background solar wind during Carrington rotation (CR) 1911 from the Sun to E

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