Ensemble modelling of space-weather drivers. This project aims to develop methods for forecasting the evolution of magnetic fields on the Sun's surface, and to use the results to drive an ensemble of

Description

Ensemble modelling of space-weather drivers. This project aims to develop methods for forecasting the evolution of magnetic fields on the Sun's surface, and to use the results to drive an ensemble of numerical simulations of the evolution of the magnetic field in the overlying atmosphere. The project expects to create a new framework for forecasting the evolution of solar active regions, applying, for the first time, methods established in Numerical Weather Prediction. The expected outcomes are physics-based prediction of solar atmospheric magnetic field evolution, including explosive eruptions. The results should have significant benefit in improving prediction of extreme space weather events, which pose an increasing threat to our technologically-dependent society.. Scheme: Discovery Projects. Field: 5101 - Astronomical Sciences. Lead: Prof David Pontin