The Computational Atmospheric Chemistry and Exposure Lab is led by Dr. Kristina Wagstrom. The goal of the group is to improve existing air pollution modeling tools and develop novel modeling approaches that will enable policy makers at different levels to make more scientifically informed air quality management decisions. We aim to bring lab and monitoring based science to tools already in use in the policy community and provide new tools to the community. We work to bridge the divide between scientists and regulators.
In general projects in the group focus on:
1) Developing new tools and algorithms for use in regional air pollution models (which basically model the atmosphere as a very large, very complex series of chemical reactor). These tools will provide both scientists and policy makers with a plethora of additional information about the state of the atmosphere. We particularly focus on tools allowing researchers to track contributions to pollutant concentrations and their impacts (e.g. climate forcing, human exposure, ecosystem impacts) from different source types and processes.
2) Developing approaches that will fill the gap in our understanding of spatial gradients in pollutant concentrations between local spatial scales (i.e. within a few hundred meters of a road) and regional spatial scales (i.e. the entire Northeastern United States). This is a first step towards greatly improving our ability to model human exposure to atmospheric pollutants.
3) Testing approaches for using low-cost, low-fidelity air pollutant sensors for actual research purposes.
If you are potentially interested in joining the group or would just like more details, please feel free to email Dr. Wagstrom.