Publications

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Li, C., Martin, R. V., van Donkelaar, A., Jimenez, J. L., Zhang, Q., Turner, J. R., Liu, X., Rowe, M., Meng, J., Yu, W., Thurston, G. D. (2025). Estimates of submicron particulate matter (PM1) concentrations for 1998–2022 across the contiguous USA: leveraging measurements of PM1 with nationwide PM₂.₅ component data. The Lancet Planetary Health, 9(6), e491-e502. DOI: 10.1016/S2542-5196(25)00094-4 [Link]

Li, C., Martin, R. V. van Donkelaar, A (2024). Understanding Reductions of PM₂.₅ Concentration and Its Chemical Composition in the United States: Implications for Mitigation Strategies. ACS ES&T Air. DOI: 10.1021/acsestair.4c00004 [Link]

Shen, S., Li, C. van Donkelaar, A. Jacobs, N. Wang, C. Martin, R. V. (2024). Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning. ACS ES&T Air. DOI: 10.1021/acsestair.3c00054 [Link]

van Donkelaar, A., Martin, R. V., Ford, B., Li, C., Pappin, A. J., Shen, S., Zhang, D. (2024). North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires. ACS ES&T Air. DOI: 10.1021/acsestair.4c00151 [Link]

Hammer, M. S., van Donkelaar, A., Bindle, L., Sayer, A. M., Lee, J., Hsu, N. C., Levy, R.C., Sawyer, V., Garay, M. J., Kalashnikova, O. V., Kahn, R. A., Lyapustin, A., and Martin, R. V. (2023). Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM₂.₅ estimates. Remote Sensing of Environment, Volume 294, 113624, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2023.113624. [Link]

Li, C., van Donkelaar, A., Hammer, M. S., McDuffie, E. E., Burnett, R. T., Spadaro, J. V., Chatterjee, D., Cohen, A. J., Apte, J. S., Southerland, V. A., Anenberg, S. C., Brauer, M., and Martin, R. V. (2023). Reversal of trends in global fine particulate matter air pollution. Nat Commun, 5349. https://doi.org/10.1038/s41467-023-41086-z. [Link]

van Donkelaar, A., Hammer, M. S., Bindle, L., Brauer, M., Brook, J. R., Garay, M. J., Hsu, N. C., Kalashnikova, O. V., Kahn, R. A., Lee, C., Levy, R. C., Lyapustin, A., Sayer, A. M., and Martin, R. V. (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty., Environ. Sci. Technol., doi:10.1021/acs.est.1c05309. [Link]

Hammer, M. S., A. van Donkelaar, C. Li, A. Lyapustin, A. M. Sayer, N. C. Hsu, R. C., Levy, M. Garay, O. Kalashnikova, R. A. Kahn, M. Brauer, J. S. Apte, D. K. Henze, L. Zhang, Q. Zhang, B. Ford, J. R. Pierce, R. V. Martin (2020).  Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018). Environ. Sci. Technol. doi:10.1021/acs.est.oco1764. [Link]

Meng, J., C. Li, R. V. Martin, A. van Donkelaar, P. Hystad, M. Brauer (2019). Estimated Long-Term (1981–2016) Concentrations of Ambient Fine Particulate Matter across North America from Chemical Transport Modeling, Satellite Remote Sensing, and Ground-Based Measurements., Environ. Sci. Technol., doi: 10.1021/acs.est.8b06875. [Link](Open Access) [Data set]

van Donkelaar, A., R. V. Martin, C. Li, R. T. Burnett (2019). Regional Estimates of Chemical Composition of Fine Particulate Matter using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol., doi: 10.1021/acs.est.8b06392. [Link]

Li, C., R. V. Martin, A. van Donkelaar, B. Boys, M. Hammer, J.-W. Xu, E. A. Marais, A. Reff, M. Strum, D. Ridley, M. Crippa, M. Brauer, and Q. Zhang (2017). Trends in chemical composition of global and regional population-weighted fine particulate matter estimated for 25 years, Environ. Sci. Technol., doi: 10.1021/acs.est.7b02530. [Link]

van Donkelaar, A., R.V Martin, M.Brauer, N. C. Hsu, R. A. Kahn, R. C Levy, A. Lyapustin, A. M. Sayer, and D. M Winker (2016). Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol., doi: 10.1021/acs.est.5b05833. [Link] [Open Access Version]
 

van Donkelaar, A., R. V. Martin, M. Brauer and B. L. Boys (2015). Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter, Environmental Health Perspectives, 123, 135-143, do:10.1289/ehp.1408646. [Link]
 

van Donkelaar, A., R. V. Martin, R. J. D. Spurr and R. T. Burnett (2015). High-resolution satellite-derived PM2.5 from optimal estimation and geographically weighted regression over North America, Environ. Sci. and Tech., doi 10.1021/acs.est.5b02076. [Link]

Boys, B.L., Martin, R.V., van Donkelaar, A., MacDonell, R., Hsu, N.C., Cooper, M.J., Yantosca,R.M., Lu, Z., Streets,D.G., Zhang,Q., Wang,S. (2014), Fifteen-year global time series of satellite-derived fine particulate matter, Environ. Sci. Technol, 10.1021/es502113p. [Link]

Philip, S., R.V. Martin, A. van Donkelaar, J. Wai-Ho Lo, Y. Wang, D. Chen, L. Zhang, P. S. Kasibhatla, S. W. Wang, Q. Zhang, Z. Lu, D. G. Streets, S. Bittman, and D. J. Macdonald (2014). Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment, Environ. Sci. Technol., 48, 13060-13068, doi: 10.1021/es502965b. [Link].

van Donkelaar, A., R.V. Martin, R. J. D. Spurr, E. Drury, L. A. Remer, R. C. Levy, and J. Wang (2013), Optimal estimation for global ground-level fine particulate matter concentrations, J. Geophys. Res., 118, doi: 10.1002/jgrd.50479. [Full Text (PDF)]

van Donkelaar, A., R.V. Martin, A.N. Pasch, J.J. Szykman, L. Zhang, Y. X. Wang, and D. Chen (2012). Improving the accuracy of daily satellite-derived ground-level fine aerosol concentration estimates for North America, Env. Sci. and Tech., 46: 11971–11978. [Full Text (PDF)]

van Donkelaar, A., R.V. Martin, R.C. Levy, A.M. da Silva, M. Krzyzanowski, N.E. Chubarova, E. Semutnikova and A.J. Cohen (2011), Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010, Atmospheric Environment, 45 (2011) 6225-6232, doi:10.1016/j.atmosenv.2011.07.068. [Full Text (PDF)]

van Donkelaar, A., R.V. Martin, M. Brauer, R. Kahn, R. Levy, C. Verduzco, and P.J. Villeneuve, Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application (2010), Environ. Health Perspec., doi:10.1289/ehp.0901623, 118(6). [Full Text (PDF)]. EHP Paper of the Year.

van Donkelaar, A., R.V. Martin, and R.J. Park (2006), Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing, J. Geophys. Res., 111, D21201, doi:10.1029/2005JD006996. [Full Text (PDF)]