Bayesian Calibration for Exascale Simulation Models

Bayesian calibration (Kennedy & O’Hagan, 2001) for large datasets and complex models.

Embedding machine-learnt sub-grid variability improves climate model precipitation patterns

Using Gaussian processes to model sub-grid variability induced by clouds and injecting this stochastically at run-time into climate simulations.

Upper Atmosphere Modelling with Uncertainty Quantification

Extending the Met Office’s Unified Model into the thermosphere for modelling space weather events.