A fundamental understanding of how ice crystals scatter light is critical for understanding the natural world. As this understanding is based on computational electromagnetic modelling, it is rooted in physical and mathematical sciences. This science underpins many environmental observational techniques, and yet our understanding and data processing methods fall short of what is needed to best take advantage of these measurements. In this project, we aim to address this gap, having the student methodically explore the parameter space of these observations with computational electromagnetic modelling techniques. The student will start by creating synthetic observations which will then be used to create a set of data analysis methods based on known inputs. The student will then apply the novel data analysis method to real-world datasets. To date, we do not know anyone who has done this.
This project is in competition for a 3.5 years EPSRC DTP 2020 Environment which includes tuition fees (£4,500), tax-free stipend (£15,009 for 2019/20), and a research training and support grant.