Publication Citation
Ferrare, R., et al. (2023), Airborne HSRL-2 measurements of elevated aerosol depolarization associated with non-spherical sea salt, TYPE Original Research, doi:10.3389/frsen.2023.1143944.
Gonzalez, M., et al. (2022), Relationships between supermicrometer particle concentrations and cloud water sea salt and dust concentrations: analysis of MONARC and ACTIVATE data, Environmental Science: Atmospheres, doi:10.1039/d2ea00049k.
Gryspeerdt, E., et al. (2020), Surprising similarities in model and observational aerosol radiative forcing estimates, Atmos. Chem. Phys., 20, 613-623, doi:10.5194/acp-20-613-2020.
Gryspeerdt, E., et al. (2022), The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data, Atmos. Meas. Tech., doi:10.5194/amt-2021-371.
Gryspeerdt, E., et al. (2023), Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., doi:10.5194/acp-23-4115-2023.
Hilario, M., et al. (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett..
Kirschler, S., et al. (2022), Seasonal updraft speeds change cloud droplet number concentrations in low-level clouds over the western North Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-22-8299-2022.
Li, X., et al. (2022), Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part I: Case Setup and Sensitivities to Large-Scale Forcings, J. Atmos. Sci., 79, 73-100, doi:10.1175/JAS-D-21-0123.1.
Li, X., et al. (2023), Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part II: Aerosol–Meteorology–Cloud Interaction, J. Atmos. Sci., 80, 1025-1045, doi:10.1175/JAS-D-21-0324.1.
Ma, L., et al. (2021), Contrasting wet deposition composition between three diverse islands and coastal North American sites, Atmos. Environ., 244, 117919, doi:10.1016/j.atmosenv.2020.117919.
MacDonald, A. B., et al. (2020), On the relationship between cloud water composition and cloud droplet number concentration, Atmos. Chem. Phys., 20, 7645-7665, doi:10.5194/acp-20-7645-2020.
Mardi, A. H., et al. (2019), All Rights Reserved. Effects of Biomass Burning on Stratocumulus Droplet Characteristics, Drizzle Rate, and Composition, J. Geophys. Res., 124, 12,301-12,318, doi:10.1029/2019JD031159.
Mardi, A. H., et al. (2021), Biomass Burning Over the United States East Coast and Western North Atlantic Ocean: Implications for Clouds and Air Quality, J. Geophys. Res., 126, e2021JD034916, doi:10.1029/2021JD034916.
Nied, J., et al. (2023), A cloud detection neural network for above-aircraft clouds using airborne cameras, Frontiers in Remote Sensing, 4, 10.3389/frsen.2023.1118745, doi:10.3389/frsen.2023.1118745.
Ouyed, A., et al. (2021), Two-Stage Artificial Intelligence Algorithm for Calculating Moisture-Tracking Atmospheric Motion Vectors, J. Appl. Meteor. Climat., 60, 1671-1684, doi:10.1175/JAMC-D-21-0070.1.
Painemal, D., et al. (2020), Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations, Atmos. Chem. Phys., 20, 7167-7177, doi:10.5194/acp-20-7167-2020.
Painemal, D., et al. (2021), All Rights Reserved. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast— Part 2: Circulation, Boundary Layer, and Clouds, J. Geophys. Res., 126, e2020JD033423, doi:10.1029/2020JD033423.
Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.
Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.
Park, H. J., et al. (2020), Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model, J. Geophys. Res., 125, e2020JD032731, doi:10.1029/2020JD032731.

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