Space-based observations of aerosols and tropospheric NO2 offer considerable potential for air quality observation, particularly because these atmospheric constituents are largely concentrated in the lower atmospheric mixed layer.
Objective: Develop the application of satellite observations for insight into surface air quality.
Project Leaders:
References:
2025
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]
2024
Chatterjee, D., Martin, R. V., Li, C., Zhang, D., Zhu, H., Henze, D. K., Crawford, J. H., Cohen, R. C., Lamsal, L. N., and Cede, A. M.: Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications. Atmos. Chem. Phys., 24, 12687–12706, 2024. DOI: 10.5194/acp-24-12687-2024 [Link]
Shen, S. Li, C. van Donkelaar, A. Jacobs, N. Wang, C. Martin, R. V.: 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.: North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires. ACS ES&T Air, 2024. DOI: 10.1021/acsestair.4c00151 [Link]
2023
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.: Reversal of trends in global fine particulate matter air pollution. Nat Commun14, 5349 (2023). https://doi.org/10.1038/s41467-023-41086-z. [Link]