Atmospheric Composition Modeling and Analysis Program

Li, K.-F., et al. (2012), Vertical structure of MJO-related subtropical ozone variations from MLS, TES, and SHADOZ data, Atmos. Chem. Phys., 12, 425-436, doi:10.5194/acp-12-425-2012.

Li, K.-F., et al. (2013), A link between tropical intraseasonal variability and Arctic stratospheric ozone, J. Geophys. Res., 118, 4280-4289, doi:10.1002/jgrd.50391.

Hearty, T.J., et al. (2014), Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis, J. Geophys. Res., 119, 2725-2741, doi:10.1002/2013JD021205.

Sun, W., et al. (2014), The response of the equatorial tropospheric ozone to the Madden–Julian Oscillation in TES satellite observations and CAM-chem model simulation, Atmos. Chem. Phys., 14, 11775-11790, doi:10.5194/acp-14-11775-2014.

Ranjithkumar, A., et al. (2021), Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements, Atmos. Chem. Phys., 21, 4979-5014, doi:10.5194/acp-21-4979-2021.

Miller, D.O., and W.H. Brune (2022), Investigating the Understanding of Oxidation Chemistry Using 20 Years of Airborne OH and HO2 Observations, J. Geophys. Res., 127, e2021JD035368, doi:10.1029/2021JD035368.

Hilario, M.R.A., et al. (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett..

Satellite, N.O., et al. (2021), US COVID-19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From, Geophys. Res. Lett..

Varon, D.J., et al. (2021), High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations, Atmos. Meas. Tech., 14, 2771-2785, doi:10.5194/amt-14-2771-2021.