- PhD project Title
- Short-Term Forecasting of Atmospheric Convection using Simplified Model
Background:I graduated from the University of Leeds in 2021 with an Integrated Masters in Mathematics. During my degree, I focused on applied mathematics, in particular undertaking modules in fluid dynamics. I participated in a summer placement at the university in 2020, where I researched viscous rock flows and for my final year project I investigated the dynamics of equatorial waves. It was during these projects that I developed an interest in research.
Research Interests:In my PhD project, I am using simplified models to investigate the secondary convective initiation by gravity waves. Understanding how initiations occur and how cells develop and move is vital for accurate short-term prediction. Using machine learning, in particular echo-state networks, we want to predict the likelihood of convective cells occurring in some location.
Why I chose the CDT in Fluid Dynamics: I knew I wanted to continue studying fluid dynamics as I found this most interesting in my first degree. Since I was unsure on a particular area the CDT appealed to me as I’d have the chance to find out what specifically interests me before choosing a project. I was also excited about the cohort approach and the chance to work and collaborate with people from different academic backgrounds.
Linked in Profile: You can find out more about me at my Linked in profile.