Open AccessSpace Weather Modeling Framework: A new tool for the space science community
Author(s) -
Tóth Gábor,
Sokolov Igor V.,
Gombosi Tamas I.,
Chesney David R.,
Clauer C. Robert,
De Zeeuw Darren L.,
Hansen Kenneth C.,
Kane Kevin J.,
Manchester Ward B.,
Oehmke Robert C.,
Powell Kenneth G.,
Ridley Aaron J.,
Roussev Ilia I.,
Stout Quentin F.,
Volberg Ovsei,
Wolf Richard A.,
Sazykin Stanislav,
Chan Anthony,
Yu Bin,
Kóta József
Publication year - 2005
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2005ja011126
Subject(s) - space weather , space physics , heliosphere , supercomputer , magnetosphere , coupling (piping) , computer science , climate model , event (particle physics) , space (punctuation) , massively parallel , space environment , computational science , physics , aerospace engineering , meteorology , solar wind , geophysics , parallel computing , engineering , operating system , mechanical engineering , ecology , plasma , quantum mechanics , climate change , magnetic field , biology
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.