My research focuses on the role that atmospheric constituents such as ozone, nitrogen oxides (NOx) and particulate matter (aerosols) play in local air quality, long range pollution transport, and climate change. Numerical models of chemical and physical processes in the atmosphere provide valuable estimates of the sources and fates of these species. In addition, spaceborn measurements and coordinated field campaigns provide an unprecedented wealth of observations related to the chemical state of the atmosphere. A large part of our research stems from chemical data assimilation, the process by which both models and observations are combined to produce estimates of the atmospheric state that are often more complete than those provided by either approach alone. This encompasses more specific interests in adjoint sensitivity analysis, source apportionment, and remote sensing.
Aerosols and air quality, Climatology and atmospheric chemistry, Adjoint sensitivity analysis, Data assimilation and remote sensing
MCEN 3030 - Computational Methods
Spring 2019 / Spring 2020
Studies fundamental numerical techniques for the solution of commonly encountered engineering problems. Includes methods for linear and nonlinear algebraic equations, data analysis, numerical differentiation and integration, ordinary and partial differential equations.