Bridging the gap between atmospheric models and observations

Back to search results
Atmospheric scientists who measure the distribution and concentration of compounds in the atmosphere use sophisticated models to rationalise their measurements. But a model’s predictive power is only as good as the underlying chemistry. History is strewn with examples where models failed to predict future events, e.g. ozone depletion, and aerosol effects on climate change. This project brings together laboratory chemists with atmospheric modellers to identify model weaknesses and to measure laboratory data to rectify them. The successful applicant will learn how to model, and improve, existing global models. S/he will collaborate with experimentalists to design and conduct experiments.

The ideal student will have an undergraduate degree in physical science (physics or chemistry). Good knowledge of theoretical chemistry or physics as normally taught at the undergraduate level is required. Some experience in coding or in use of computer models, e.g. chemical structure packages (Gaussian or any other) or atmospheric model packages (GEOS-Chem or any other) would be an advantage.

Supervisory team
Scott
Kable

Science
Chemistry
Laura
McKemmish

Science
Chemistry
Jenny
Fisher

University of Wollongong
Centre for Atmospheric Chemistry
s.kable@unsw.edu.au