Corona-Solar Wind Energetic Particle Acceleration (C-SWEPA) Modules

ROSES ID: NNH11ZDA001N      Selection Year: 2012       Duration: 5 years

Program Element: NSF Partnership

Principal Investigator: Nathan Schwadron

Affiliation(s): Boston University

Summary:

The 3-D Coronal-Solar Wind Energetic Particle Acceleration (C-SWEPA) modules provide tools for taking the critical next step in understanding Solar Energetic Particle (SEP) events and characterizing their hazards through physics-based modeling from the low corona through the inner heliosphere. C-SWEPA s central objective is to develop and validate a numerical framework of physics-based modules that couple the low corona and CMEs with solar wind, shocks, acceleration and composition of energetic particles, and the fluctuations and turbulence within solar wind that buffet terrestrial and planetary magnetospheres. Using pre-existing EMMREM modules, we characterize time- dependent radiation exposure in interplanetary space environments. Simulated observers (e.g., spacecraft near L1, Earth, moon, Mars, etc.) provide basis for comparison with spacecraft and tools to explore simulated mission datasets (e.g., Solar Probe Plus, SPP, and Solar Orbiter, SolO).

C-SWEPA fulfills the need for a transformative synthesis of LWS capabilities by bringing together an exceptional team of leading experts from five institutions in solar, heliospheric and magnetospheric physics and two successful LWS strategic capabilities: the Earth-Moon-Mars Radiation Environment Modules (EMMREM), and the Next Generation Model for the Corona and Solar Wind. C-SWEPA leverages new advancements in High Performance Computing (HPC) through the use of heterogeneous architectures (Graphical Processing Units; GPUs) and develops an innovative approach to delivering complex models that enables the CCMC to use dedicated GPU-enabled and massively parallelized systems for C-SWEPA simulations.

C-SWEPA is a transformational project providing: an integration between observationally-driven modeling of CMEs, solar wind, shocks and energetic particles from the low corona through the heliosphere; incorporation of seed populations and associated compositional dependencies; new fundamental information via highly- resolved inertial node-lines vital to studies of the magnetosphere (e.g., by the upcoming Radiation Belt Storm Probes mission, RBSP), other planetary magnetospheres and the microstates and turbulence within solar wind; and detailed models that probe the steady and disturbed corona thus paving the way for Solo and SPP studies.

C-SWEPA deliverables include: two numerical systems (one at the CCMC and one at UNH) that run C-SWEPA; documentation; and an intuitive interface. These systems provide: on-line availability and event scenarios from Sun-to-Earth; runs that include solar wind, CMEs and associated shock(s), SEP flux time series, dose & dose-equivalent rates, integrated doses behind various layers of shielding; and results of runs made for specific campaign events of interest to the science community at large. Both EMMREM and CORHEL run at the CCMC and the associated teams have a strong history of partnering with the CCMC.

C-SWEPA answers fundamental scientific questions via four science subgroups that study the corona, solar wind, CME initiation, shocks, solar energetic particle acceleration and propagation, and solar wind waves and turbulence. Core team members have experience working together and leverage developments from CISM, EMMREM, CORHEL, NSF s FESD Sun-to-Ice project, and existing Focus Science Teams (FSTs) of NASA's Living With a Star (LWS) Program.

C-SWEPA provides broad impacts by advancing discovery and understanding while also promoting teaching, training of graduate students, undergraduate involvement, and participation of under-represented groups. C-SWEPA enhances the infrastructure for research and education through development of computing capabilities for the science community. By advancing tools for understanding and predicting space weather, C- SWEPA provides important societal benefits enabling expansion of space technologies.

Publications:

Performance Year	Reference	Investigation Type	Actions
1	Kozarev K. A.; Evans R. M.; Schwadron N. A.; Dayeh M. A.; Op...	Simulations
1	Goelzer M. L.; Smith C. W.; Schwadron N. A.; McCracken K. G....	Data Model Comparison
1	McComas D. J.; Angold N.; Elliott H. A.; Livadiotis G.; Schw...	Data Analysis
1	Smith C. W.; Schwadron N. A.; DeForest C. E.; (2013). Declin...	Data Model Comparison
1	Joyce C. J.; Schwadron N. A.; Wilson J. K.; Spence H. E.; Ka...	Data Model Comparison
1	Schwadron N. A.; Smith S.; Spence H. E.; (2013). The CRaTER ...	Data Model Comparison
1	Lionello R.; Downs C.; Linker J. A.; Torok T.; Riley P.; Mik...	Theory and Model Development
1	Leake J. E.; Linton M. G.; Torok T.; (2013). Simulations of ...	Simulations
1	Lugaz N.; Farrugia C. J.; Manchester W. B.; Schwadron N.; (2...	Simulations
2	Joyce C. J.; Schwadron N. A.; Wilson J. K.; Spence H. E.; Ka...	Data Model Comparison
2	Schwadron N. A.; Gorby M.; Torok T.; Downs C.; Linker J.; Li...	Theory and Model Development
2	Schwadron N. A.; Blake J. B.; Case A. W.; Joyce C. J.; Kaspe...	Data Analysis
2	Smith C. W.; McCracken K. G.; Schwadron N. A.; Goelzer M. L....	Data Analysis
2	Titov V. S.; Torok T.; Mikic Z.; Linker J. A.; (2014). A Met...	Theory and Model Development
2	Torok T.; Leake J. E.; Titov V. S.; Archontis V.; Mikic Z.; ...	Simulations
2	van Driel-Gesztelyi L.; Baker D.; Torok T.; Pariat E.; Green...	Data Analysis
2	Torok T.; Kliem B.; Berger M. A.; Linton M. G.; Demoulin P.;...	Simulations
2	Kliem B.; Lin J.; Forbes T. G.; Priest E. R.; Torok T.; (201...	Theory and Model Development
2	Kliem B.; Torok T.; Titov V. S.; Lionello R.; Linker J. A.; ...	Simulations
2	Dalmasse K.; Aulanier G.; Demoulin P.; Kliem B.; Torok T.; P...	Simulations
2	Schwadron N. A.; Lee M. A.; Gorby M.; Lugaz N.; Spence H. E....	Theory and Model Development
2	Schwadron N. A.; Goelzer M. L.; Smith C. W.; Kasper J. C.; K...	Data Analysis
1	Cooper John F.; King Joseph H.; Papitashvili Natalia E.; Lal...	Data Analysis
2	Porter J. A.; Townsend L. W.; Spence H.; Golightly M.; Schwa...	Data Model Comparison

Presentations:

Performance Year	Reference	Actions
1	Cooper, J. F., J. H. King, N. E. Papitashvili, N. Lal, E. C....
1	Cooper, J. F., N. E. Papitashvili, R. C. Johnson, N. Lal, an...
3	Cooper, J. F., N. E. Papitashvili, N. Lal, R. C. Johnson, a...
2	Cooper, J. F., J. H. King, N. E. Papitashvili, N. Lal, T. J....
2	Cooper, J. F., J. H. King, N. E. Papitashvili, N. Lal, T. J....

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