Dr. Kevin W. Bowman’s research interests broadly cover the use of satellite data to provide observational constraints on general circulation and chemical transport models through the use of optimal state estimation (data assimilation) techniques. He is focused on the development of these techniques to understanding processes controlling ozone and their impact on air quality and climate, providing “top-down” constraints on carbon dioxide fluxes, and creating a framework to reduce uncertainty in the climate response to anthropogenic forcing. In addition, Dr. Bowman is actively involved in the conception and development of observation system simulation experiments to formally link science requirements to satellite measurement requirements. With this approach, satellite observations can help understand atmospheric processes and their quantitative description through model development, which in turn can inform new observational strategies.