The Advanced Computing for Environmental Science (ACES) research group conducts cutting-edge research in computer science to accelerate environmental science.
Environmental science depends on the analysis of large volumes of observational data and on sophisticated simulation schemes, coupling different physics on multiple time and special scales, demanding both supercomputing and specialised data analysis systems. ACES research themes address the future of the relevant computing and data systems. Current projects include work on developing software to aid scientific programming on next generation computing systems, on cloud computing, on exploiting machine learning in environmental science, and on new software and hardware systems for handling the high volume and high velocity data typical of environmental science workflows.
As well as research, we are involved in both undergraduate teaching and providing training and consultancy for third parties, including the wider scientific community and industry. Get in touch with one of us if you are interested (contact details are on individual web pages linked below).