The proposers will develop a strategic capability for solar physics modeling by combining SAIC's MAS code with Colorado's ENLIL code, which are among the most sophisticated models available today. Coupling MAS and ENLIL will deliver cutting-edge techniques for deriving time-dependent photospheric magnetic field data, as well as result in a GUI-driven product that will appeal broadly to the solar and heliospheric scientific community. The proposing team includes experts in solar magnetometry, surface flux evolution modeling, coronal and solar wind modeling, and computational physics. Their new model will encapsulate the capabilities of both MAS and ENLIL, as well as important improvements that will be developed and incorporated during the course of this work.

Observed photospheric magnetic fields are the primary boundary conditions to the MAS and ENLIL simulations, and their solar wind solutions are strongly dependent on these boundary conditions. Thus the proposed work includes detailed studies to improve the quality of this observational input. The proposers intend to drive their new model with time-dependent output from flux transport codes, allowing production of a real-time model of the solar wind which would be delivered to the Community Coordinated Modeling Center (CCMC). Ultimately, this model might replace the current Wang-Sheeley-Arge model at the National Weather Service's Space Environment Center in Boulder, Colorado. While global magnetohydrodynamic (MHD) models are, by necessity, complex, the proposers plan to minimize unnecessary complications for users by providing a uniform GUI interface with which to initiate model runs. The collaborators here will also provide a set of GUI tools for post-processing, analysis, and visualization of model output, since much of this work has already been done as part of previous and ongoing programs.

Agency
National Science Foundation (NSF)
Institute
Division of Atmospheric and Geospace Sciences (AGS)
Type
Standard Grant (Standard)
Application #
1138256
Program Officer
Therese Moretto Jorgensen
Project Start
Project End
Budget Start
2011-01-01
Budget End
2012-08-31
Support Year
Fiscal Year
2011
Total Cost
$31,277
Indirect Cost
Name
Predictive Science Incorporated
Department
Type
DUNS #
City
San Diego
State
CA
Country
United States
Zip Code
92121