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Dan L Goldberg

Postdoctoral Appointee


Dan is working with David Streets and Zifeng Lu on processing satellite data to better understand the concentrations and trends of key atmospheric pollutants including NO2 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. 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.

He recently published a manuscript on estimating daily PM2.5 concentrations at 1 x 1 km spatial resolution in the eastern United States. This work will be used as part of Yale University’s Solutions for Energy, Air, Climate and Health (SEARCH) project to assess the health impacts of particulate matter.

Goldberg, D. L., P. Gupta, K. Wang, C. Jena, Y. Zhang, Z. Lu, D. G. Streets (2019), Using MAIAC AOD and WRF-Chem to estimate daily PM2.5 concentrations at 1 km resolution in the eastern United States, Atmos. Environ, 199, 443-452, https://​doi​.org/​10​.​1016​/​j​.​a​t​m​o​s​e​n​v​.​2018​.​11.049.

He also works on developing new strategies to better quantify the air pollutant NO2 from satellite information. Enhancing NO2 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 the air quality policy community.

Goldberg, D. L., P. E. Saide, L. N. Lamsal, B. de Foy, Z. Lu, J.-H. Woo, Y. Kim, J. Kim, M. Gao, G. Carmichael, D. G. Streets (2019), A top-down assessment using OMI NO2 suggests an underestimate in the NOx emissions inventory in Seoul, South Korea, during KORUS-AQ, Atmos. Chem. Phys., 19, 1801-1818, https://​doi​.org/​10​.​5194​/​a​c​p​-​19​-​1801​-2019.

Goldberg, D. L., L. N. Lamsal, C.P. Loughner, W. H. Swartz, Z. Lu, D. G. Streets (2017), A high-resolution and observationally constrained OMI NO2 satellite retrieval, Atmos. Chem. Phys., 17, 11403-11421, https://​doi​.org/​10​.​5194​/​a​c​p​-​17​-​11403​-2017.

All publications in which Dan has contributed to can be found in his CV located in the link to the right.