Dan is a post-doctoral appointee working with David Streets, Zifeng Lu, and Leah Guzowski in the Energy Systems Division. He is working on processing satellite data to better understand the concentrations and trends of key atmospheric pollutants including NO2, SO2, and fine particulate matter (PM2.5). Dan graduated from the University of Maryland with a Ph.D. and M.S. in Atmospheric and Oceanic Science. His Ph.D. dissertation was on the lifetime and distribution of ozone air pollution in the eastern United States. Most of his current and Ph.D. work involves extensive collaboration with NASA, NOAA, state agencies, non-profit organizations, and the EPA. He received his B.S. in Chemical Engineering from Lafayette College in Easton, PA.
His most recent work involves developing new strategies to generate high resolution snapshots of the air pollutant NO2 from satellite information. Improving the spatial resolution of satellite data products will allow scientists to: improve surface level air pollutant estimates used for health assessment studies, evaluate emission inventories on a local scale, and spur the use of satellite data by EPA and the air quality policy community.
Goldberg, D. L., Lamsal, L. N., Loughner, C. P., Swartz, W. H., Lu, Z., and Streets, D. G.: A high-resolution and observationally constrained OMI NO2 satellite retrieval, Atmos. Chem. Phys., 17, 11403-11421, https://doi.org/10.5194/acp-17-11403-2017, 2017.