Dan is working with David Streets and Zifeng Lu on processing satellite data to better understand the global emissions, concentrations, and trends of several air pollutants including NO2 and fine particulate matter (PM2.5).
His most recent first-author publications can be found below:
Goldberg, D. L., Z. Lu, D. G. Streets, B. de Foy, D. Griffin, C. A. McLinden, L. N. Lamsal, N. A. Krotkov, H. Eskes (2019), Enhanced Capabilities of TROPOMI NO2: Estimating NOX from North American Cities and Power Plants, 653, 21, 12594-12601,https://pubs.acs.org/doi/abs/10.1021/acs.est.9b04488.
Goldberg, D. L., Z. Lu, T. Oda, L. N. Lamsal, F. Liu, D. Griffin, C. A. McLinden, N. A. Krotkov, B. N., Duncan, D. G. Streets (2019), Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities, Sci. Tot., Environ., 695, 133805, https://doi.org/10.1016/j.scitotenv.2019.133805.
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/acp-19-1801-2019.
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.atmosenv.2018.11.049.
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/acp-17-11403-2017.
All publications in which Dan has contributed to can be found in his Google Scholar page or in his CV located in the link to the right. Please email me directly if you cannot access any publication due to a paywall, but would like it.