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DC3
Cummings, K.A., et al. (2024), Evaluation of Lightning Flash Rate Parameterizations in a Cloud‐Resolved WRF‐Chem Simulation of the 29-30 May 2012 Oklahoma Severe Supercell System Observed, J. Geophys. Res., 129, e2023JD039492., doi:10.1029/2023JD039492.
Pickering, K.E., et al. (2024), Lightning NOx in the 29–30 May 2012 Deep Convective Clouds and Chemistry (DC3) Severe Storm and Its Downwind Chemical Consequences, J. Geophys. Res., 129, e2023JD039439., doi:10.1029/2023JD039439.
Apel, E.C., et al. (2015), Upper tropospheric ozone production from lightning NOx-impacted convection: Smoke ingestion case study from the DC3 campaign, J. Geophys. Res., 120, 2505-2523, doi:10.1002/2014JD022121.
Carter, T.S., et al. (2022), An improved representation of fire non-methane organic gases (NMOGs) in models: emissions to reactivity, Atmos. Chem. Phys., 22, 12093-12111, doi:10.5194/acp-22-12093-2022.
Maciel, F.V., et al. (2023), Examination of aerosol indirect effects during cirrus cloud evolution, Atmos. Chem. Phys., 23, 1103-1129, doi:10.5194/acp-23-1103-2023.
Dorsi, S., et al. (2014), A Fiber-Coupled Laser Hygrometer for Airborne Total Water Measurements, Atmos. Meas. Tech., 7, 215-223, doi:10.5194/amt-7-215-2014.
Day, D.A., et al. (2022), A systematic re-evaluation of methods for quantification of bulk particle-phase organic nitrates using real-time aerosol mass spectrometry, Atmos. Meas. Tech., 15, 459-483, doi:10.5194/amt-15-459-2022.
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.
Carter, T.S., et al. (2020), How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America, Atmos. Chem. Phys., 20, 2073-2097, doi:10.5194/acp-20-2073-2020.