Ben began his PhD at the Institute for Marine and Antarctic Studies (IMAS) in early 2016. His research explores the performance of numerical weather prediction (NWP) south of -50 degrees, specifically examining the Australian global NWP model, ACCESS-G. In performing a thorough verification of the model in this region, he aims to identify and implement opportunities to improve model forecast performance for logistics and operations in the region.
Before joining IMAS Ben worked as a Scientific Programmer at the Bureau of Meteorology, investigating the use of Artificial Neural Networks in precipitation now-casting. It was in this role that Ben was exposed to atmospheric modelling on the fastest supercomputers in the country, inspiring his pursuit of a PhD in the field.
Ben holds a Master of Information Technology, majoring in Machine Learning and High-Performance Computing, as well as Bachelors in Communication and I.T., and a Postgraduate Certificate in Antarctic Studies.
THESIS: Towards improved modelling of the high southern latitudes
Ben's research involves the use and design of NWP models for forecasting. This project is targeted at the short-term projection of atmospheric conditions (weather) and involves many of the same skills required for working with longer time scales (climate).