ATom

Yu, P., et al. (2019), Efficient In‐Cloud Removal of Aerosols by Deep Convection, Geophys. Res. Lett., 46, 1061-1069, doi:10.1029/2018GL080544.

Hodzic, A., et al. (2016), Rethinking the global secondary organic aerosol (SOA) budget: stronger production, faster removal, shorter lifetime, Atmos. Chem. Phys., 16, 7917-7941, doi:10.5194/acp-16-7917-2016.

Hall, S.R., et al. (2018), Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission, Atmos. Chem. Phys., 18, 16809-16828, doi:10.5194/acp-18-16809-2018.

Strode, S.A., et al. (2018), Forecasting carbon monoxide on a global scale for the ATom-1 aircraft mission: insights from airborne and satellite observations and modeling, Atmos. Chem. Phys., 18, 10955-10971, doi:10.5194/acp-18-10955-2018.

Prather, M.J., et al. (2018), How well can global chemistry models calculate the reactivity of short-lived greenhouse gases in the remote troposphere, knowing the chemical composition, Atmos. Meas. Tech., 11, 2653-2668, doi:10.5194/amt-11-2653-2018.

Williamson, C., et al. (2018), Fast time response measurements of particle size distributions in the 3–60 nm size range with the nucleation mode aerosol size spectrometer, Atmos. Meas. Tech., 11, 3491-3509, doi:10.5194/amt-11-3491-2018.

Kupc, A., et al. (2018), Modification, calibration, and performance of the Ultra-High Sensitivity Aerosol Spectrometer for particle size distribution and volatility measurements during the Atmospheric Tomography Mission (ATom) airborne campaign, Atmos. Meas. Tech., 11, 369-383, doi:10.5194/amt-11-369-2018.

Prather, M.J., et al. (2017), Global atmospheric chemistry – which air matters, Atmos. Chem. Phys., 17, 9081-9102, doi:10.5194/acp-17-9081-2017.

Murphy, D.M., et al. (2018), An aerosol particle containing enriched uranium encountered in the remote T upper troposphere, Journal of Environmental Radioactivity, 184–185, 95-100, doi:10.1016/j.jenvrad.2018.01.006.