Forecasting Space Weather

Improving forecasts of space weather has been identified as a major goal for the space community. Space weather has substantial effects on space and ground operations, yet accurate forecast lead times are typically only a few hours to days at most. The goal of this PhD is to improve our understanding and forecasting capability of space weather through physics-based models and/or machine learning.

Research at UNSW Canberra has already shown forecasts can be improved with modern machine learning techniques. PhD topics could include solar wind, magnetic and density wave forecasts. Modelling changes on the Sun€™s surface is also of interest. Opportunities to tailor forecasts for future UNSW Canberra satellite missions are available.

Contact:

Dr James Gilmore james.gilmore@unsw.edu.au

Dr Melrose Brown melrose.brown@adfa.edu.au

Supervisor(s)

Dr James Gilmore james.gilmore@unsw.edu.au

Supervisor