Project: Quantifying Discretisation Uncertainty in Climate Models
Supervisors: Jon Cockayne
Project Description:
A significant challenge in climate models is discretisation error: even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. This project will employ cutting-edge probabilistic methods to quantify discretization error in ocean and climate models.
