| Qualification Type: | PhD |
|---|---|
| Location: | Exeter |
| Funding for: | UK Students, International Students |
| Funding amount: | For eligible students the studentship will cover home tuition fees plus an annual tax-free stipend. |
| Hours: | Full Time |
| Placed On: | 13th November 2026 |
|---|---|
| Closes: | 7th January 2027 |
| Reference: | 6038 |
(a) Key science questions and their importance
The stratified atmospheric boundary layer is a key component in high-impact weather and climate predictions. Forecast applications include polar surface temperatures, the timing of thunderstorms and night-time low temperatures. There is a need to improve the way the stratified boundary layer is represented (parametrized) in these simulations and interrogate the models with high-quality observations. This project asks whether extending the parametrization from first to second order can improve simulations. It also asks whether observations can better constrain simulations of the stratified boundary layer.
(b) Methods
The project will develop and test a second-order boundary-layer parametrization in single column and Large Eddy Simulation settings, evaluating it against state-of-the-art British Antarctic Survey (BAS) observations under stably stratified conditions. Computational modelling will use Python and FORTRAN, with AI tools explored to analyse modelled turbulence patterns.
(c) Training opportunities for the Doctoral Researcher
The student will be trained in weather/climate model structure and in computational modelling using Python and FORTRAN, alongside a range of project-relevant Masters modules at the University of Exeter. The supervisory team and partners will also provide other hands-on training: interrogating models against BAS observations (see BAS visits below), developing data-analysis and scientific-writing skills. The student will take increasing ownership of the project in its duration, eventually writing their own code, initiating scientific writing and presenting their work to the scientific community. This training will equip them for a career in atmospheric science.
(d) Collaboration with project partners
The project is co-supervised by the British Antarctic Survey (Dr Alex Weiss) and SAMS (Dr Phil Anderson, formerly BAS), collaborations giving the student access to specialist polar observations and expertise. There will be at least one visit a year to BAS for the student, and Dr Weiss will visit Exeter at least once a year.
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