A new project in collaboration with Prof. V Faye McNeill's group at Columbia (Lead PI) will develop the Columbia University Atmospheric Chemistry Model Reduction (AMORE) algorithm, an automated tool for flexibly generating accurate condensed chemical mechanisms for use in atmospheric chemistry and air quality models. We will apply AMORE to develop an updated condensed gas-phase isoprene oxidation mechanism, and implement it into GEOS-Chem and CMAQ in order to study the impact of using condensed mechanisms on simulations of ozone, PM and components, and the air toxic HCHO.
Modeling of air quality globally and regionally, especially over sub-Saharan Africa and India. We use the GEOS-Chem model among others. We also use satellite retrievals of air quality-relevant properties to understand local and regional air quality.
Other projects include sensitivity of PM2.5 concentrations to meteorology and climate change, impact of aerosols on tropospheric oxidants, new particle formation modeling, and many others.