Shannon L Capps

Atmospheric chemistry, data assimilation, advanced sensitivity analysis, inverse modeling.

Computational models based on the principles of fluid dynamics, mass transfer, and phase equilibria that represent the Earth’s atmosphere enable the investigation of air quality and climate issues as well as estimation of the impacts of potential technological solutions to these challenges. Augmenting models with sensitivity analysis capabilities allows production of policy-relevant insights in addition to enabling the assimilation of observations of the chemical constituents of the atmosphere to improve uncertain model parameters. Societal endpoints that can be probed in these frameworks include human health impacts, ecological degradation, and changing climatic conditions.