Atmospheric Composition Modeling and Analysis Program

Natarajan, M., et al. (2015), Sensitivity of simulated Martian atmospheric temperature to prescribed dust opacity distribution: Comparison of model results with reconstructed data from Mars Exploration Rover missions, J. Geophys. Res., 120, 2002-2019, doi:10.1002/2015JE004813.

de Gouw, J.A., et al. (2020), Daily Satellite Observations of Methane from Oil and Gas Production Regions in the United States, Sci Rep, 10, 1379, doi:10.1038/s41598-020-57678-4.

Dix, B., et al. (2020), Nitrogen oxide emissions from U.S. oil and gas production: Recent trends and source attribution, Geophys. Res. Lett., 47, doi:10.1029/2019GL085866.

Pierce, R.B., et al. (2003), Large-scale chemical evolution of the Arctic vortex during the 1999/ 2000 winter: HALOE/POAM III Lagrangian photochemical modeling for the SAGE III—Ozone Loss and Validation Experiment (SOLVE) campaign, J. Geophys. Res., 108, 8317, doi:10.1029/2001JD001063.

Fairlie, T.D., et al. (2007), Impact of multiscale dynamical processes and mixing on the chemical composition of the upper troposphere and lower stratosphere during the Intercontinental Chemical Transport Experiment-North America, J. Geophys. Res., 112, D16S90, doi:10.1029/2006JD007923.

Fairlie, T.D., et al. (2007), The impact of transpacific transport of mineral dust in the United States, Atmos. Environ., 41, 1251-1266, doi:10.1016/j.atmosenv.2006.09.048.

Fairlie, T.D., et al. (2014), Dispersion of the Nabro volcanic plume and its relation to the Asian summer monsoon, Atmos. Chem. Phys., 14, 7045-7057, doi:10.5194/acp-14-7045-2014.

Holmes, C.D., et al. (2019), The Role of Clouds in the Tropospheric NOx Cycle: A New Modeling Approach for Cloud Chemistry and Its Global Implications, Geophys. Res. Lett., 46, doi:10.1029/2019GL081990.

Holmes, C.D. (2018), Methane Feedback on Atmospheric Chemistry: Methods, Models, and Mechanisms, J. Adv. Modeling Earth Syst., 10, doi:10.1002/2017MS001196.