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Improved Forecasts of Solar Particle Events using Eruptive Event Generators based on Gibson-Low and Titov-Demoulin Magnetic Configurations

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CG51P
Agency Tracking Number: 150054
Amount: $124,934.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T6.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-17
Award End Date (Contract End Date): 2016-06-17
Small Business Information
1777 Highland Drive, Suite B
Ann Arbor, MI 48108-2285
United States
DUNS: 969868298
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Lewis
 Vice President
 (734) 975-8777
 mlewis@michaero.com
Business Contact
 John Dodds
Title: Business Official
Phone: (734) 975-8777
Email: jdodds@michaero.com
Research Institution
 The Regents of the University of Michigan
 Blair Gerdes
 
2455 Hayward St.
Ann Arbor, MI 48109-2143
United States

 (734) 763-7343
 Domestic Nonprofit Research Organization
Abstract

Radiation hazards constitute a serious risk to human and robotic space operations beyond Low-Earth orbit. Primary contributors to space radiation include Solar Particle Events (SPEs) associated with Coronal Mass Ejections (CMEs).

Because the mechanisms that produce coronal mass ejections (CME) are exceedingly complex, no reliable deterministic methods for predicting eruptions are yet available, and the most successful approaches are phenomenological and probabilistic in nature. But predicting the eruption is only part of the problem.

In order to forecast the time, location, flux, and the energy spectrum of a Solar Particle Event (in order to better model its effect on specific hardware and instruments, for example) we must also understand the intervening plasma environment, including the steady-state magnetic configuration, as well as the dynamic, eruption driven configurations that provide for the time dependent transport and diffusive acceleration of solar energetic particles.

Progress has been made in the understanding of the solar atmosphere due to the increased availability of observational data and the development of analytical and numerical models of the solar wind. One aspect of this development is the construction of complex three-dimensional (3D) models, which can be validated with observations and further refined to improve the comparison.

In order to improve SPE forecasts Michigan Aerospace Corporation (MAC) and the University of Michigan's department of Atmospheric, Oceanic, and Space Science (AOSS) intend to cooperate on this STTR project, which seeks, over Phase 1 and Phase 2, to 1) Use data-driven statistical models to forecast the likelihood of solar eruptions; 2) Couple these predictions with eruption generation models in the context of the Space Weather Modeling Framework (SWMF) to forecast the likely time, location, flux, and energy spectrum of Solar Energetic Particles.

* Information listed above is at the time of submission. *

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