Atmospheric Composition Modeling and Analysis Program

Ma, X., et al. (2018), Opposite Aerosol Index-Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans, Geophys. Res. Lett., 45, 5771-5778, doi:10.1029/2018GL077562.

Nair, A.A., et al. (2019), All Rights Reserved. Spatioseasonal Variations of Atmospheric Ammonia Concentrations Over the United States: Comprehensive Model‐Observation Comparison, J. Geophys. Res., 124, doi:10.1029/2018JD030057.

Williamson, C.J., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, doi:10.1038/s41586-019-1638-9.

Goldberg, D.L., et al. (2019), Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities☆, Science of the Total Environment, 695, 133805, doi:10.1016/j.scitotenv.2019.133805.

Liu, F., et al. (2020), A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide, Atmos. Chem. Phys., 20, 99-116, doi:10.5194/acp-20-99-2020.

Wang, Y., and J. Wang (2020), Short communication Tropospheric SO2 and NO2 in 2012–2018: Contrasting views of two sensors (OMI and OMPS) from space, Atmos. Environ., 223, 117214, doi:10.1016/j.atmosenv.2019.117214.

Xu, X., et al. (2019), Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space, Atmos. Meas. Tech., 12, 3269-3288, doi:10.5194/amt-12-3269-2019.

Wang, Y., et al. (2020), Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts, Atmos. Chem. Phys., 20, 6651-6670, doi:10.5194/acp-20-6651-2020.

Wang, J., et al. (2020), Development of a nighttime shortwave radiative transfer model for remote T sensing of nocturnal aerosols and fires from VIIRS, Remote Sensing of Environment, 241, 111727, doi:10.1016/j.rse.2020.111727.