Scientists are increasingly turning to numerical simulation in order to investigate and model complex environmental systems. Numerical simulation has enormous advantages over laboratory or field experimentation because it has the potential to allow a much greater parameter space to be considered. Numerical simulation is being used for simulating the formation of photochemical air pollution (smog) in industrialised cities. However, computational hardware demands can be great. In this paper we discuss the computational resources that are required in order to achieve a realistic number of results in a timely manner. We describe the parallelisation and distribution of programs that have been used as part of an air pollution study being conducted in Melbourne, Australia. We also describe some computer tools which proved effective in managing this study.
David Abramson, M. Cope, R. McKenzie