Atmospheric Composition Modeling and Analysis Program

Ring, A.M., et al. (2018), Evaluating commercial marine emissions and their role in air quality policy MARK using observations and the CMAQ model, Atmos. Environ., 173, 96-107, doi:10.1016/j.atmosenv.2017.10.037.

Singh, A., et al. (2025), Inferring near-surface ozone production regimes: Insights from using satellite retrievals over the contiguous US, Atmos. Environ., 352, 121208, doi:10.1016/j.atmosenv.2025.121208.

Narayan, K.B., et al. (2023), Environ. Sci. Technol, Environ. Sci. Technol., 57, 11134-11143, doi:10.1021/acs.est.2c07056.

Wang, J., et al. (2024), published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided , Wang Et Al., 1, 15.

Wei, J., et al. (2024), Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

Wang, Z., et al. (2024), Soil NOx Emission Prediction via Recurrent Neural Networks, Tech Science Press, doi:10.32604/cmc.2023.044366.

Nawaz, M.O., et al. (2024), 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., doi:10.5194/acp-24-6719-2024.

Goldberg, D.L., et al. (2024), Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2, Remote Sensing of the Environment, 300, 113917, doi:10.1016/j.rse.2023.113917.

Kerr, G.H., et al. (2024), Ethnoracial Disparities in Nitrogen Dioxide Pollution in the United States: Comparing Data Sets from Satellites, Models, and Monitors, Environ. Sci. Technol., doi:10.1021/acs.est.3c03999.