Adaptive numerical algorithms in space weather modeling

By G. T'oth, B. Holst, Igor M. Sokolov, D. D. De Zeeuw, Tamas I. Gombosi, Fang Fang, W. Manchester IV, Xing Meng, D. Najib, Kenneth G. Powell and 4 more. Journal of Computational Physics, 2012

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Particle Dynamics in the Earth's Radiation Belts: Review of Current Research and Open Questions (2020, background): “The American Block‐Adaptive‐Tree‐Solarwind‐Roe‐Upwind‐Scheme code (Powell et al., 1999; De Zeeuw et al., 2000; Gombosi et al., 2004) today embedded within the Space Weather Modeling Framework (Ellington et al., 2016; Glocer et al., 2013; Haiducek et al., 2017; Morley, Welling, & Woodroffe, 2018; Tót”
The Interaction of Successive Coronal Mass Ejections: A Review (2016, methodology): “With a full 3D MHD code under the Space SOLA: Review_v4.tex; 16 March 2017; 5:40; p. 12 Weather Modeling Framework (Tóth et al., 2012; van der Holst et al., 2014), Jin et al. (2016) numerically studied the long-distance magnetic impacts of CMEs.”
The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting (2019, methodology): “(2005) model from 2010 until 2018, when the Wing Kp was replaced by the physics-based Geospace model developed at the University of Michigan (Tóth et al., 2012).”