Although the EPA regularly monitors ground-level ozone in the US, information about regional intra- and inter-regional transport comes from the measurements of ozone profiles, as they encompass concentrations in the middle and lower troposphere. The 2011 DISCOVER-AQ (Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality) campaign by NASA was a four-year campaign to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enables effective use of current and future satellites to diagnose ground level conditions influencing air quality. Although humidity and temperature being driving factors for pollutants are known, the models generated from this data cannot predict the complexities of pollution variabilities due to rapidly changing climates. In this study we focus on ozone soundings taken during DISCOVER-AQ at the Beltsville, Maryland of downtown Washington, DC, and at Edgewood, Maryland of downtown Baltimore. Measured pollutants were surface ozone, NOy, NOx, SO2, PM2.5, NO and CO. Excel was used to visually represent the data to observe patterns in air pollutants. The anticipated analysis will provide insight into causes and patterns of air pollutants, to eventually generate an accurate model.
