Chemical Transport Modeling of Aerosols
Peter J. Adams, Carnegie Mellon University, USA
Abstract: Chemical transport models (CTMs) are numerical simulations representing the interplay of emissions, chemistry, transport, microphysics, and deposition that determine the behavior of atmospheric aerosols. As research tools, they play several important roles: assessing the significance of newly discovered or hypothesized processes in an atmospheric context, testing our knowledge of aerosol behavior against ambient observations, and predicting the impacts of policy decisions. Conceptually, they are simple mass and population balances. Complexity arises from several factors: the chemical and physical interactions of many dozen species; transport across a three-dimensional grid representing an urban airshed, a geographic region or even the entire globe; and the numerical approximations required to solve the resulting equations efficiently. This tutorial will provide an overview of the essential components of CTMs, surveying the major algorithms for representing aerosol emissions, chemistry, microphysics, phase partitioning, transport, and deposition. Special focus will be paid to numerical algorithms for representing aerosol size distributions and their evolution via the microphysical processes of condensation, coagulation, and nucleation.
Short bio: Peter J. Adams is a professor at Carnegie Mellon University with a joint appointment between the Department of Civil and Environmental Engineering and the Department of Engineering and Public Policy. He earned his bachelor’s degree in chemical engineering from Cornell University, followed by a master’s and then PhD in chemical engineering at the California Institute of Technology. His research interests include aerosol-climate interactions, global and regional aerosol modeling and the development of aerosol microphysical simulations in climate models. Dr. Adams received the Sheldon K. Friedlander Award in 2004 from AAAR.