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Milken Institute School of Public Health

 

Daniel Goldberg

Dan

Daniel Goldberg

Ph.D., M.S.

Assistant Research Professor

Full-time Faculty

School: Milken Institute School of Public Health

Department: Environmental and Occupational Health

Contact:

Daniel Goldberg Resume/CV
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Milken Institute School of Public Health 950 New Hampshire Avenue, NW Washington DC 20052

Dr. Goldberg combines satellite data with model output and in situ data to quantify the emissions of and exposures to air pollution. His most recent work involves using the TROPOMI satellite instrument to identify near-real-time changes in air pollution emissions and concentrations. Results from his ongoing analyses have allowed the scientific and policy communities to gain better insight on the emissions of nitrogen oxides (NOx) and greenhouse gases, and to better estimate pollutant exposures for health impact assessments. He holds a “Tiger Team” leadership position on the NASA Health and Air Quality Applied Sciences Team, and has made impactful contributions to several additional NASA science teams, including DISCOVER-AQ and KORUS-AQ. He actively collaborates with scientists and policymakers at NASA, NOAA, EPA, IHME, multi-jurisdictional organizations, state agencies, non-profit organizations, and other academic institutions.

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Ph.D., 2015, University of Maryland, Atmospheric & Oceanic Science

M.S., 2013, University of Maryland, Atmospheric & Oceanic Science

B.S., 2009, Lafayette College, Chemical Engineering, Minor: Environmental Science

Climate Change

Environmental and Occupational Health

Global Environmental Health

Peer-Reviewed Publications (17 first-author, 3 senior-author, 58 total; h-index: 30)

2026 (1 first-author, 4 total)

  1. Goldberg, D. L., Johnson, J., Nawaz, M. O., Kerr G. H., Chen, L., Huber, D., Judd, L. M. Contrasting the TEMPO and TROPOMI Views of Tropospheric NO2: Implications for Diurnal Variability and Model Evaluation, Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2026JD046905, 2026.
  2. Huber, D. E., Kerr, G. H., Nawaz, M. O., Runkel, S., Anenberg, S. C., Goldberg, D. L. Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots, Atmospheric Chemistry & Physics,https://doi.org/10.5194/acp-26-3783-2026, 2026.
  3. Jaffe, D., Lee, H. B., Goldberg, D. L., O’Dell, K., Magzaman, S. Health and Regulatory Impacts of PM2.5 from Wildland Fires for 2019-2024 in the U.S. GeoHealth, https://doi.org/10.1029/2025GH001576, 2026.
  4. Eckel, S. P., Chen, F., Silva, S. J., Goldberg, D. L., Johnston, J., Palinkas, L. A., Campos, A., Franco, W., and Garcia, E.: Zero-emissions vehicle adoption and satellite-measured NO2 air pollution in California, USA, from 2019 to 2023: a longitudinal observational study, Lancet Planet. Health, 101379, https://doi.org/10.1016/j.lanplh.2025.101379, 2026.

2025 (1 first-author, 9 total)

  1. Goldberg, D. L., Nawaz, M. O., Lyu, C., He, J., Carlton, A. G., Kondragunta, S., and Anenberg, S. C.: Clear-sky and cloudy-sky differences in NO2 concentrations over the United States: implications for satellite measurement applications, Atmos Chem Phys, 25, 16287–16302, https://doi.org/10.5194/acp-25-16287-2025, 2025.
  2. Siu, T. K., Goldberg, D. L., Kerr, G. H., Chen, L., Nawaz, M. O., Chang, R. Y. ‐W., and Fong, K. C.: Tropospheric NO2 Patterns in Eastern Canada Using the First Year of TEMPO Observations, Journal of Geophysical Research: Atmospheres, 130, https://doi.org/10.1029/2025JD044757, 2025.
  3. Burkart, K., Wozniak, S., Anenberg, S., Pereda, A., Gilbertson, N., Ashbaugh, C., Goldberg, D., Hystad, P., Kerr, G. H., McLaughlin, S. A., Mohegh, A., and Brauer, M.: Global, regional and national estimates of the burden of childhood asthma attributable to NO2 exposure for 204 countries and territories from 1990 to 2023: a Global Burden of Disease study 2023, EClinicalMedicine, 90, 103580, https://doi.org/10.1016/j.eclinm.2025.103580, 2025.
  4. Nawaz, M. O., Huber, D. E., Kerr, G. H., Judd, L. M., Acker, S. J., and Goldberg, D. L.: A Comparative Analysis of TEMPO NO2 Remote Sensing With Surface‐Level Monitoring Through Diurnal and Seasonal Trends, Meteorology, and Monitor Characteristics, Journal of Geophysical Research: Atmospheres, 130, https://doi.org/10.1029/2025JD043923, 2025.
  5. Farzad, K., Zhang, Y., Wang, K., Chen, X., Goldberg, D. L., Lyapustin, A., Wang, Y., and Bell, M. L. Statistical downscaling of coarse-resolution 3-D model PM2.5 predictions to 1-km over the Contiguous United States: Model development, evaluation, and implication in health impact assessment, Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2025.180302, 2025.
  6. Ahn, D. Y., Goldberg, D. L., Liu, F., Anderson, D. C., Coombes, T., Loughner, C. P., Kiel, M., Chatterjee, A. Regional and Socioeconomic Characteristics in C40 Cities’ CO2 Emissions Revealed from Space, AGU Advances, https://doi.org/10.1029/2025AV001747, 2025.
  7. Lawal, A., Skipper, T.N., Ivey, C. E., Goldberg, D. L., Kaiser, J., Russell, A. G. Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals, Environmental Science & Technology – Air, https://pubs.acs.org/doi/full/10.1021/acsestair.4c00198, 2025.
  8. Nawaz, M. O., Goldberg, D. L., Kerr, G. H., and Anenberg, S. C.: Incorporating fine resolution observations from TROPOMI reduces complexity and improves predictive accuracy of LUR modeling of NO2 in the US, Environmental Science & Technology – Air, https://pubs.acs.org/doi/10.1021/acsestair.4c00153, 2025.

2024 (2 first-author, 7 total)

  1. Goldberg, D. L., B. de Foy, M. O. Nawaz, J. Johnson, G. Yarwood, L. Judd. Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models, Environmental Science & Technology – Air, https://pubs.acs.org/doi/10.1021/acsestair.4c00097, 2024.
  2. Goldberg, D. L., Tao, M., Kerr, G. H., Ma, S., Tong, D. Q., Fiore, A. M., Dickens, A. F., Adelman, Z. E., and Anenberg, S. C.: Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2, Remote Sens Environ, 300, 113917, https://doi.org/10.1016/j.rse.2023.113917, 2024.
  3. Kim, E. J., Holloway, T., Kokandakar, A., Harkey, M., Elkins, S., Goldberg, D. L., and Heck, C.: A Comparison of Regression Methods for Inferring Near‐Surface NO2 With Satellite Data, Journal of Geophysical Research: Atmospheres, 129, https://doi.org/10.1029/2024JD040906, 2024.
  4. Kerr, G. H., Meyer, M., Goldberg, D. L., Miller, J., and Anenberg, S. C.: Air pollution impacts from warehousing in the United States uncovered with satellite data, Nature Communications, 15, 6006, https://doi.org/10.1038/s41467-024-50000-0, 2024.
  5. Nawaz, M. O., Johnson, J., Yarwood, G., de Foy, B., Judd, L., and Goldberg, D. L.: An intercomparison of satellite, airborne, and ground-level observations with WRF–CAMx simulations of NO2 columns over Houston, Texas, during the September 2021 TRACER-AQ campaign, Atmos Chem Phys, 24, 6719–6741, https://doi.org/10.5194/acp-24-6719-2024, 2024.
  6. Kerr, G. H., van Donkelaar, A., Martin, R. V., Brauer, M., Bukart, K., Wozniak, S., Goldberg, D. L., and Anenberg, S. C.: Increasing Racial and Ethnic Disparities in Ambient Air Pollution-Attributable Morbidity and Mortality in the United States, Environ Health Perspectives, 132, https://doi.org/10.1289/EHP11900, 2024.
  7. O’Dell, K., Kondragunta, S., Zhang, H., Goldberg, D. L., Kerr, G. H., Wei, Z., Henderson, B. H., and Anenberg, S. C.: Public Health Benefits From Improved Identification of Severe Air Pollution Events With Geostationary Satellite Data, GeoHealth, 8, https://doi.org/10.1029/2023GH000890, 2024.

2023 (0 first-author, 6 total)

  1. Kerr, G. H., Goldberg, D. L., Harris, M. H., Henderson, B. H., Hystad, P., Roy, A., and Anenberg, S. C.: Ethnoracial Disparities in Nitrogen Dioxide Pollution in the United States: Comparing Data Sets from Satellites, Models, and Monitors, Environ Sci Technol, https://doi.org/10.1021/acs.est.3c03999, 2023.
  2. Tzortziou, M., Loughner, C. P., Goldberg, D. L., Judd, L., Nauth, D., Kwong, C. F., Lin, T., Cede, A., and Abuhassan, N.: Intimately tracking NO2 pollution over the NYC - Long Island Sound land-water continuum: An integration of shipboard, airborne, satellite observations, and models, Science of The Total Environment, 165144, https://doi.org/10.1016/j.scitotenv.2023.165144, 2023.
  3. Larkin, A., Anenberg, S., Goldberg, D. L., Mohegh, A., Brauer, M., and Hystad, P.: A global spatial-temporal land use regression model for nitrogen dioxide air pollution, Front Environ Sci, 11, 484, https://doi.org/10.3389/FENVS.2023.1125979, 2023.
  4. Ahn, D. Y., Goldberg, D. L., Coombes, T., Kleiman, G., Anenberg, S. C.: CO2 Emissions from C40 Cities: Citywide Emission Inventories and Comparisons with Global Gridded Emission Datasets, Environmental Research Letters, 18, 034032, https://doi.org/10.1088/1748-9326/acbb91, 2023.
  5. Nawaz, M. O., Henze, D. K., Anenberg, S. C., Ahn, D. Y., Goldberg, D. L., Tessum, C. W., and Chafe, Z. A.: Sources of air pollution-related health impacts and benefits of radially applied transportation policies in 14 US cities, Frontiers in Sustainable Cities, 5, https://doi.org/10.3389/frsc.2023.1102493, 2023.
  6. Bechle, M. J., Bell, M. L., Goldberg, D. L., Hankey, S., Lu, T., Presto, A. A., Robinson, A. L., Schwartz, J., Shi, L., Zhang, Y., and Marshall, J. D.: Intercomparison of Six National Empirical Models for PM2.5 Air Pollution in the Contiguous US, Findings, https://doi.org/10.32866/001c.89423, 2023.

2022 (1 first-author, 6 total)

  1. Goldberg, D. L., Harkey, M., de Foy, B., Judd, L., Johnson, J., Yarwood, G. and Holloway, T.: Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO, Atmos. Chem. Phys., 22(16), 10875–10900, https://doi.org/10.5194/acp-22-10875-2022, 2022.
  2. Kerr, G. H., Goldberg, D. L., Knowland, K. E., Keller, C. A., Oladini, D., Kheirbek, I., Mahoney, L., Lu, Z. and Anenberg, S. C.: Diesel passenger vehicle shares influenced COVID-19 changes in urban nitrogen dioxide pollution, Environ. Res. Lett., 17(7), 074010, https://doi.org/10.1088/1748-9326/AC7659, 2022.
  3. Ahn, D. Y., Salawitch, R. J., Canty, T. P., He, H., Ren, X. R., Goldberg, D. L., Dickerson, R. R. The U.S. power sector emissions of CO2 and NOx during 2020: Separating the impact of the COVID-19 lockdowns from the weather and decreasing coal in fuel-mix profile, Atmospheric Environment: X, Volume 14, https://doi.org/10.1016/j.aeaoa.2022.100168, 2022.
  4. Tzortziou, M., Kwong, C. F., Goldberg, D. L., Schiferl, L., Commane, R., Abuhassan, N., Szykman, J. and Valin, L.: Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area, Atmos. Chem. Phys., 1–30, https://doi.org/10.5194/ACP-2021-592, 2022.
  5. Jing, P. and Goldberg, D. L.: Influence of conducive weather on ozone in the presence of reduced NOx emissions: A case study in Chicago during the 2020 lockdowns, Atmos. Pollut. Res., 13(2), 101313,https://doi.org/10.1016/J.APR.2021.101313, 2022.
  6. Anenberg, S. C., Mohegh, A., Goldberg, D. L., Kerr, G. H., Brauer, M., Burkart, K., Hystad, P., Larkin, A., Wozniak, S. and Lamsal, L.: Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets, Lancet Planet. Heal., 6(1), e49–e58, https://doi.org/10.1016/S2542-5196(21)00255-2, 2022.

2021 (3 first-author, 9 total)

  1. Goldberg, D. L., Anenberg, S. C., Lu, Z., Streets, D. G., Lamsal, L., McDuffie, E. and Smith, S.: Urban NOx emissions around the world declined faster than anticipated between 2005 and 2019, Environ. Res. Lett.,https://doi.org/10.1088/1748-9326/AC2C34, 2021.
  2. Goldberg, D. L., Anenberg, S. C., Kerr, G. H., Lu, Z. and Streets, D. G.: TROPOMI: A revolutionary new satellite instrument measuring NO2 air pollution, Environ. Manag., 2021.
  3. Goldberg, D. L., Anenberg, S. C., Mohegh, A., Lu, Z. and Streets, D. G.: TROPOMI NO2 in the United States: A detailed look at the annual averages, weekly cycles, effects of temperature, and correlation with surface NO2concentrations, Earth’s Future, https://doi.org/10.1029/2020EF001665, 2021.
  4. Nawaz, M. O., Henze, D. K., Harkins, C., Cao, H., Nault, B., Jo, D., Jimenez, J., Anenberg, S. C., Goldberg, D. L.and Qu, Z.: Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC, Elem. Sci. Anthr., 9(1), https://doi.org/10.1525/elementa.2021.00043, 2021.
  5. Laughner, J. L., …, Goldberg, D. L., …, Zeng, Z.-C.: Societal shifts due to COVID-19 reveal large-scale complexities and feedbacks between atmospheric chemistry and climate change, Proc. Natl. Acad. Sci., 118(46), https://doi.org/10.1073/PNAS.2109481118, 2021.
  6. Anenberg, S., Kerr, G. H. and Goldberg, D. L.: Leveraging satellite data to address air pollution inequities, Environ. Manag., 2021.
  7. Kondragunta, S., Wei, Z., McDonald, B. C., Goldberg, D. L. and Tong, D. Q.: COVID-19 Induced Fingerprints of a New Normal Urban Air Quality in the United States, J. Geophys. Res. Atmos., e2021JD034797, https://doi.org/10.1029/2021JD034797, 2021.
  8. Kerr, G. H., Goldberg, D. L. and Anenberg, S. C.: COVID-19 pandemic reveals persistent disparities in nitrogen dioxide pollution, Proc. Natl. Acad. Sci., 118(30), e2022409118, https://doi.org/10.1073/pnas.2022409118, 2021.
  9. Gorris, M. E., Anenberg, S. C., Goldberg, D. L., Kerr, G. H., Stowell, J. D., Tong, D. Q., and Zaitchik, B. F.: Shaping the future of science: COVID‐19 highlighting the importance of GeoHealth, GeoHealth, 5, e2021GH000412, https://doi.org/10.1029/2021gh000412, 2021.

2020 (1 first-author, 5 total)

  1. Goldberg, D. L., Anenberg, S. C., Griffin, D., McLinden, C. A., Lu, Z. and Streets, D. G.: Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability, Geophys. Res. Lett., 47(17), https://doi.org/10.1029/2020GL089269, 2020.
  2. Mohegh, A., Goldberg, D. L., Achakulwisut, P. and Anenberg, S. C.: Sensitivity of estimated NO2 -attributable pediatric asthma incidence to grid resolution and urbanicity, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/abce25, 2020.
  3. Anenberg, S. C., Bindl, M., Brauer, M., Castillo, J. J., Cavalieri, S., Duncan, B. N., Fiore, A. M., Fuller, R., Goldberg, D. L., Henze, D. K., Hess, J., Holloway, T., James, P., Jin, X., Kheirbek, I., Kinney, P. L., Liu, Y., Mohegh, A., Patz, J., Jimenez, M. P., Roy, A., Tong, D., Walker, K., Watts, N. and West, J. J.: Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA‐Supported Science‐Stakeholder Collaborative, GeoHealth, 4(7), https://doi.org/10.1029/2020GH000270, 2020.
  4. Saide, P. E., Gao, M., Lu, Z., Goldberg, D. L., Streets, D. G., … , and Crawford, J. H.: Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ, Atmos. Chem. Phys., 20(11), 6455–6478, https://doi.org/10.5194/acp-20-6455-2020, 2020.
  5. Liu, F., Duncan, B. N., Krotkov, N. A., Lamsal, L. N., Beirle, S., Griffin, D., McLinden, C. A., Goldberg, D. L. and Lu, Z.: A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide, Atmos. Chem. Phys., 20(1), 99–116, https://doi.org/10.5194/acp-20-99-2020, 2020.

2019 (4 first-author, 4 total)

  1. Goldberg, D. L., Saide, P. E., Lamsal, L. N., De Foy, B., Lu, Z., Woo, J.-H., Kim, Y., Kim, J., Gao, M., Carmichael, G. and Streets, D. G.: 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(3), https://doi.org/10.5194/acp-19-1801-2019, 2019.
  2. Goldberg, D. L., Lu, Z., Streets, D. G., de Foy, B., Griffin, D., McLinden, C. A., Lamsal, L. N., Krotkov, N. A. and Eskes, H.: Enhanced Capabilities of TROPOMI NO2 : Estimating NOx from North American Cities and Power Plants, Environ. Sci. Technol., acs.est.9b04488, https://doi.org/10.1021/acs.est.9b04488, 2019.
  3. Goldberg, D. L., Lu, Z., Oda, T., Lamsal, L. N., Liu, F., Griffin, D., McLinden, C. A., Krotkov, N. A., Duncan, B. N. and Streets, D. G.: Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities, Sci. Total Environ., 695, 133805, https://doi.org/10.1016/j.scitotenv.2019.133805, 2019.
  4. Goldberg, D. L., Gupta, P., Wang, K., Jena, C., Zhang, Y., Lu, Z. and Streets, D. G.: Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM 2.5 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, 2019.

2018 (0 first-author, 1 total)

  1. Ring, A. M., Canty, T. P., Anderson, D. C., Vinciguerra, T. P., He, H., Goldberg, D. L., Ehrman, S. H., Dickerson, R. R. and Salawitch, R. J.: Evaluating commercial marine emissions and their role in air quality policy using observations and the CMAQ model, Atmos. Environ., 173(June 2017), 96–107, https://doi.org/10.1016/j.atmosenv.2017.10.037, 2018.

2017 (1 first-author, 1 total)

  1. 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(18), 11403–11421,https://doi.org/10.5194/acp-17-11403-2017, 2017.

2016 (1 first-author, 2 total)

  1. Goldberg, D. L., Vinciguerra, T. P., Anderson, D. C., Hembeck, L., Canty, T. P., Ehrman, S. H., Martins, D. K., Stauffer, R. M., Thompson, A. M., Salawitch, R. J. and Dickerson, R. R.: CAMx ozone source attribution in the eastern United States using guidance from observations during DISCOVER-AQ Maryland, Geophys. Res. Lett., 43(5), 2249–2258, https://doi.org/10.1002/2015GL067332, 2016.
  2. Ren, X., Luke, W. T., Kelley, P., Cohen, M. D., Artz, R., Olson, M. L., Schmeltz, D., Puchalski, M., Goldberg, D. L.,Ring, A., Mazzuca, G. M., Cummings, K. A., Wojdan, L., Preaux, S. and Stehr, J. W.: Atmospheric mercury measurements at a suburban site in the Mid-Atlantic United States: Inter-annual, seasonal and diurnal variations and source-receptor relationships, Atmos. Environ., 146, 141–152, https://doi.org/10.1016/j.atmosenv.2016.08.028, 2016.

2015 (1 first-author, 3 total)

  1. Goldberg, D. L., Vinciguerra, T. P., Hosley, K. M., Loughner, C. P., Canty, T. P., Salawitch, R. J. and Dickerson, R. R.: Evidence for an increase in the ozone photochemical lifetime in the eastern United States using a regional air quality model, J. Geophys. Res. Atmos., 120(24), 12778–12793, https://doi.org/10.1002/2015JD023930, 2015.
  2. Canty, T. P., Hembeck, L., Vinciguerra, T. P., Anderson, D. C., Goldberg, D. L., Carpenter, S. F., Allen, D. J., Loughner, C. P., Salawitch, R. J. and Dickerson, R. R.: Ozone and NOx chemistry in the eastern US: Evaluation of CMAQ/CB05 with satellite (OMI) data, Atmos. Chem. Phys., 15(19), 10965–10982, https://doi.org/10.5194/acp-15-10965-2015, 2015.
  3. Stauffer, R. M., Thompson, A. M., Martins, D. K., Clark, R. D., Goldberg, D. L., Loughner, C. P., Delgado, R., Dickerson, R. R., Stehr, J. W. and Tzortziou, M. A.: Bay breeze influence on surface ozone at Edgewood, MD during July 2011, J. Atmos. Chem., 72(3–4), 335–353, https://doi.org/10.1007/s10874-012-9241-6, 2015.

2014 (1 first-author, 2 total)

  1. Goldberg, D. L., Loughner, C. P., Tzortziou, M., Stehr, J. W., Pickering, K. E., Marufu, L. T. and Dickerson, R. R.: Higher surface ozone concentrations over the Chesapeake Bay than over the adjacent land: Observations and models from the DISCOVER-AQ and CBODAQ campaigns, Atmos. Environ., 84, 9–19, https://doi.org/10.1016/j.atmosenv.2013.11.008, 2014.
  2. Loughner, C. P., Tzortziou, M., Follette-Cook, M., Pickering, K. E., Goldberg, D. L., Satam, C., Weinheimer, A., Crawford, J. H., Knapp, D. J., Montzka, D. D., Diskin, G. S. and Dickerson, R. R.: Impact of bay-breeze circulations on surface air quality and boundary layer export, J. Appl. Meteorol. Climatol., 53(7), 1697–1713, https://doi.org/10.1175/JAMC-D-13-0323.1, 2014.

 

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