This project is a collaborative effort with scientists at the Los Alamos National Laboratory to develop a real-time model for specifying and forecasting the state of Earth's radiation belt. The project will utilize data assimilation methods in conjunction with physical models and modern machine learning techniques to examine the acceleration, transport and loss processes for energetic electrons in the radiation belt. The resulting model will include confidence limits on the system-wide forecasts, making the results useful for operational space weather predicitions. The project will benefit society by making improved radiation-belt predictions at reduced operational costs and the forecasts will be made freely available online.

The project includes a strong educational and teaching component through the participation of graduate students at the University of Colorado. In addition the research will be integrated with the Los Alalmos Space Science Outreach (LASSO) program, which offers teacher training to underrepresented groups and individuals with disabilities.

Agency
National Science Foundation (NSF)
Institute
Division of Atmospheric and Geospace Sciences (AGS)
Application #
1131869
Program Officer
Raymond J. Walker
Project Start
Project End
Budget Start
2011-07-15
Budget End
2015-06-30
Support Year
Fiscal Year
2011
Total Cost
$124,320
Indirect Cost
Name
University of Colorado at Boulder
Department
Type
DUNS #
City
Boulder
State
CO
Country
United States
Zip Code
80309