Rachel Prudden: Stochastic Downscaling for Convective Regimes with Gaussian Random Fields

Bio

Rachel is a senior scientist in the Informatics Lab, working on ways to combine physics-based numerical simulation with machine learning. Her research spans several projects with collaborators in the Met Office and beyond - active projects include emulation of gravity wave parameterisations with ML models; applications of causal inference to climate indices; using spatial statistical models to understand convective-scale variability; and new methods for spatial verification. She is currently undertaking a PhD at the University of Exeter, with a focus on using Gaussian random fields for stochastic super-resolution of convective-scale fields.