2005
DOI: 10.1029/2005ja011126
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Space Weather Modeling Framework: A new tool for the space science community

Abstract: [1] The Space Weather Modeling Framework (SWMF) provides a high-performance flexible framework for physics-based space weather simulations, as well as for various space physics applications. The SWMF integrates numerical models of the Solar Corona, Eruptive Event Generator, Inner Heliosphere, Solar Energetic Particles, Global Magnetosphere, Inner Magnetosphere, Radiation Belt, Ionosphere Electrodynamics, and Upper Atmosphere into a high-performance coupled model. The components can be represented with alternat… Show more

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Cited by 694 publications
(609 citation statements)
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References 44 publications
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“…BATS-R-US is the Global Magnetosphere (GM) module of the Space Weather Modeling Framework (SWMF) designed to model the space environment for various space physics applications [Tóth et al, 2005]. The SWMF contains nine modules that cover the various regions between the Sun and Earth.…”
Section: Simulationsmentioning
confidence: 99%
“…BATS-R-US is the Global Magnetosphere (GM) module of the Space Weather Modeling Framework (SWMF) designed to model the space environment for various space physics applications [Tóth et al, 2005]. The SWMF contains nine modules that cover the various regions between the Sun and Earth.…”
Section: Simulationsmentioning
confidence: 99%
“…However, for CMEs near the sun, the magnetic configuration in the sheath and its evolution are not well understood. Manchester et al (2005) simulated the CME with an earlier version of the Space Weather Modeling Framework (SWMF) developed at the University of Michigan (Toth et al 2005). In their simulation, the heating of the solar wind is assumed to be a given function of latitude.…”
Section: Introductionmentioning
confidence: 99%
“…The results from the IMAGE and POLAR observations will be compared to the outputs of the SWMF/BATS-R-US model both with and without the Comprehensive Ring Current Model (referred to as BATSRUS and BATS-CRCM from here on) [Tóth et al, 2005], the OpenGGCM model [Raeder et al, 2001;Fuller-Rowell et al, 1996], and the CMIT/LFM-MIX model (referred to as LFM) [Lyon et al, 2004;Merkin and Lyon, 2010]. We ran all of these models from the NASA Community …”
Section: Modelsmentioning
confidence: 99%