Environmental Science and Engineering Seminar

A fundamental challenge of atmospheric chemistry is bridging the gap between the detailed molecular-level knowledge generated by laboratory experiments and computationally constrained large-scale models. I will discuss our recent progress in automating the reduction in scale of complex atmospheric chemical mechanisms for inclusion in large-scale models, with the example of our new reduced isoprene mechanism AMORE-Isoprene, which has been included in the latest release of EPA's Community Multiscale Air Quality model (CMAQ). I will also provide case studies illustrating my group's approach using process models to: (a) extract kinetic parameters necessary for modeling novel chemistry from laboratory studies (b) evaluate the potential impact of that chemistry under ambient environmental conditions (c) parameterize these processes for large-scale modeling and (d) focus and inform future laboratory studies.