I am a first year PhD student in the Institute for Climate and Atmospheric Science and a member of the Atmospheric Chemistry and Aerosols research group. In 2018, I completed an integrated MPhys degree at Heriot-Watt University in mathematical physics.
My research involves using statistical emulation of high–resolution cloud simulations to quantify and visualise shallow cloud responses to changing aerosol and environmental conditions, in order to better understand aerosol-cloud interaction radiative forcing. Aerosol-cloud interactions are the largest source of uncertainty in estimates of radiative forcing since the industrial period. Some individual cloud responses to changing aerosol conditions are well understood, yet when combined with each other and environmental factors the outcome can be very difficult to predict and understand. One-at-a-time testing cannot capture such complex behaviour, but computational expense limits the number of simulations that can be run. This is especially true in shallow cloud systems, which form and develop on small timescales, rapidly adjusting to changes, and are therefore difficult to simulate. High-resolution cloud-resolving models are used to study cloud processes and formulate parameterisations for use in general circulation models. Using statistical emulation, aspects of the high-resolution model output can be approximated and sampled millions of times at reduced computational cost compared with the model itself. With this method, we can feasibly study the tangled responses of clouds to many changing conditions and visualise their complex behaviour.
- MPhys Mathematical Physics
Research groups and institutes
- Institute for Climate and Atmospheric Science
- Atmospheric Chemistry and Aerosols