Goals and objectives: The quantitative prediction and specification of the Earth’s inner magnetospheric environment based on Sun/solar wind driving inputs.
Questions: How does the inner magnetosphere respond as a coupled system to Sun/solar-wind driving?
Data/theory/modeling: A combinationofphysicalandstatistical (machine learning) modeling, theory, and observations from various platforms.
Anticipated outcome: A better understanding of the physical processes leading to a series of coupled, related models that quantitatively predict the dynamical evolution of the inner magnetospheric state.
Co-leaders: Jacob Bortnik (USA), Craig Rodger (NZ)