Space Weather Modeling Framework: A new tool for the space science community

By G. T'oth, Igor M. Sokolov, Tamas I. Gombosi, D. Chesney, C. Robert Clauer, D. D. De Zeeuw, K. Hansen, Kevin Kane, W. Manchester IV, R. Oehmke and 10 more. Journal of Geophysical Research, 2005

698 citations recorded by the source corpus.

[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 alternative physics models, and any physically meaningful subset of the components can be used. The components are coupled to the control module via standardized interfaces, and an efficient parallel coupling toolkit is used for the pairwise coupling of the components. The execution and parallel layout of the components is controlled by the SWMF. Both sequential and concurrent execution models are supported. The SWMF enables simulations that were not possible with the individual physics models. Using reasonably high spatial and temporal resolutions in all of the coupled components, the SWMF runs significantly faster than real time on massively parallel supercomputers. This paper presents the design and implementation of the SWMF and some demonstrative tests. Future papers will describe validation (comparison of model results with measurements) and applications to challenging space weather events. The SWMF is publicly available to the scientific community for doing geophysical research. We also intend to expand the SWMF in collaboration with other model developers.

Subfields: Astronomy and Astrophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/563122b8aa4f50e28c7296fa408b708d5e197a41

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

In Molecular Biology

Citations in the corpus

NUMERICAL SIMULATION OF AN EUV CORONAL WAVE BASED ON THE 2009 FEBRUARY 13 CME EVENT OBSERVED BY STEREO (2009, methodology): “The model is based on the global MHD BATSRUS code (Powell et al. 1999) and is part of the Space Weather 3 Modeling Framework (SWMF) (Tóth et al. 2005).”
A Semiempirical Magnetohydrodynamical Model of the Solar Wind (2007, methodology): “SIMULATION We apply the model to the SC module of the Space Weather Modeling Framework code in a similar manner as described in (Tóth et al. 2005).”
Self-consistent Coronal Heating and Solar Wind Acceleration from Anisotropic Magnetohydrodynamic Turbulence (2007, positive): “…description of MHD turbulence can be applied to more advanced modeling efforts—specifically those that attemptto reproduce the full three-dimensional and time-dependent nature of the corona and heliosphere (e.g., Riley et al. 2001; Roussev et al. 2003; Tóth et al. 2005; Usmanov & Goldstein 2006).”
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”
Adaptive numerical algorithms in space weather modeling (2012, methodology): “BATS-R-US solves the ideal or two-temperature MHD equations on a Cartesian grid in either co-rotating or inertial frame, and it can model the propagation of CMEs from the Sun to the Earth [36,37,5].”
MAGNETOHYDRODYNAMIC WAVES AND CORONAL HEATING: UNIFYING EMPIRICAL AND MHD TURBULENCE MODELS (2012, methodology): “The SWMF is a structured collection of software building blocks to develop Sun-Earth system modeling components, in order to couple and assemble them into applications.”
The Heliospheric Magnetic Field (2013, positive): “…magnetograms can also be used to constrain 3-dimensional magnetohydrodynamic (MHD) models of the corona, such as Magnetohydrodynamics Around a Sphere (MAS) (Linker et al., 1999; Mikić et al., 1999, see also http://www.imhd.net) and the Space Weather Modeling Framework (SWMF) (Tóth et al., 2005).”
EMPIRICAL CONSTRAINTS ON PROTON AND ELECTRON HEATING IN THE FAST SOLAR WIND (2009, background): “Most advanced globalmodeling efforts currently include only a one-fluid treatment of the internal energy equation (e.g., Riley et al. 2001, 2006; Roussev et al. 2003; Tóth et al. 2005; Usmanov & Goldstein 2006; Feng et al. 2007).”
Deriving the radial distances of wide coronal mass ejections from elongation measurements in the heliosphere - application to CME-CME interaction (2009, background): “Interplanetary shocks (2139); Flares and mass ejections (7519); Instruments and techniques (7594) Correspondence to: N. Lugaz (nlugaz@ifa.hawaii.edu)”
Origins of the Ambient Solar Wind: Implications for Space Weather (2017, methodology): “…by collaborative efforts such as the Community Coordinated Modeling Center (CCMC; Hesse et al. 2010), the Space Weather Modeling Framework (SWMF; Tóth et al. 2005), the European Heliospheric Forecasting Information Asset (EUHFORIA; Pomoell et al. 2017), and the NOAA Space Weather Prediction…”
The Open Flux Problem (2017, methodology): “Simulations of the corona and solar wind with the Space Weather Modeling Framework (Tóth et al. 2005) have scaled input maps by factors of 2–4 to improve model-observational comparisons (Cohen et al. 2007; Jin et al. 2012; Oran et al. 2015).”
Three-dimensional MHD Simulation of the 2003 October 28 Coronal Mass Ejection: Comparison with LASCO Coronagraph Observations (2008, methodology): “The SWMF is a fully functional and documented framework that provides high-performance computational capability to simulate the physics from the low solar corona to the upper atmosphere of the Earth.”