Organization
NASA Langley Research Center
Email
Business Phone
Mobile
(757) 506-6132
Work
(757) 864-5793
Business Address
NASA Langley Research Center
MS 483
Hampton, VA 23681
United States
Co-Authored Publications
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Crosbie, E.C., et al. (2024), Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus, Atmos. Chem. Phys., doi:10.5194/acp-24-6123-2024.
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Edwards, E., et al. (2024), Sea salt reactivity over the northwest Atlantic: an in-depth look using the airborne ACTIVATE dataset, Atmos. Chem. Phys., doi:10.5194/acp-24-3349-2024.
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Li, X., et al. (2024), Process Modeling of Aerosol‐Cloud Interaction in Summertime Precipitating Shallow Cumulus Over the Western North Atlantic, J. Geophys. Res., 129, e2023JD039489, doi:10.1029/2023JD039489.
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Schlosser, J.S., et al. (2024), Maximizing the Volume of Collocated Data from Two Coordinated Suborbital Platforms, J. Atmos. Oceanic Technol., 41, 189-201, doi:10.1175/JTECH-D-23-0001.1.
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Xu, Y., et al. (2024), Boundary Layer Structures Over the Northwest Atlantic Derived From Airborne High Spectral Resolution Lidar and Dropsonde Measurements During the ACTIVATE Campaign, J. Geophys. Res., 129, e2023JD039878, doi:10.1029/2023JD039878.
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Zhang, J., et al. (2024), Stratospheric air intrusions promote global-scale new particle formation.Science, Wang, 385, 210-216, doi:10.1126/science.adn2961.
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Corral, A., et al. (2023), Environmental Science: Atmospheres View Article Online PAPER View Journal Dimethylamine in cloud water: a case study over, The Author(s). Published by the Royal Society of Chemistry Environ. Sci.: Atmos, 10.1039/D2EA00117A, doi:10.1039/d2ea00117a.
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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.
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Sorooshian, A., et al. (2023), Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset, Earth Syst. Sci. Data, 15, 3419-3472, doi:10.5194/essd-15-3419-2023.
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Corral, A., et al. (2022), Cold Air Outbreaks Promote New Particle Formation Off the U.S. East Coast, Geophys. Res. Lett..
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Dadashazar, H., et al. (2022), Analysis of MONARC and ACTIVATE Airborne Aerosol Data for Aerosol-Cloud Interaction Investigations: Efficacy of Stairstepping Flight Legs for Airborne In Situ Sampling, hosseind@arizona.edu (H.D.armin@arizona.edu (A.S., 13, 1242, doi:10.3390/atmos13081242.
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Dadashazar, H., et al. (2022), Organic enrichment in droplet residual particles relative to out of cloud over the northwestern Atlantic: analysis of airborne ACTIVATE data, Atmos. Chem. Phys., doi:10.5194/acp-22-13897-2022.
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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.
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Sanchez, K., et al. (2022), North Atlantic Ocean SST-gradient-driven variations in aerosol and cloud evolution along Lagrangian cold-air outbreak trajectories, Atmos. Chem. Phys., 22, 2795-2815, doi:10.5194/acp-22-2795-2022.
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Schlosser, J.S., et al. (2022), Polarimeter + Lidar–Derived Aerosol Particle Number Concentration, Front. Remote Sens., 3, 885332, doi:10.3389/frsen.2022.885332.
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Tornow, F., et al. (2022), Dilution of Boundary Layer Cloud Condensation Nucleus Concentrations by Free Tropospheric Entrainment During Marine Cold Air Outbreaks, Geophys. Res. Lett., 49, e2022GL09844, doi:10.1029/2022GL098444.
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van Diedenhoven, B., et al. (2022), Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry, Atmos. Meas. Tech., 15, 7411-7434, doi:10.5194/amt-15-7411-2022.
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Moore, R., et al. (2021), Sizing response of the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) and Laser Aerosol Spectrometer (LAS) to changes in submicron aerosol composition and refractive index, Atmos. Meas. Tech., 14, 4517-4542, doi:10.5194/amt-14-4517-2021.
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Sanchez, K., et al. (2021), Linking marine phytoplankton emissions, meteorological processes, and downwind particle properties with FLEXPART, Atmos. Chem. Phys., 21, 831-851, doi:10.5194/acp-21-831-2021.
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Wiggins, E.B., et al. (2021), Reconciling assumptions in bottom-up and top-down approaches for estimating aerosol emission rates from wildland fires using observations from FIREX-AQ, J. Geophys. Res., 126, e2021JD035692, doi:10.1029/2021JD035692.
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Crosbie, E.C., et al. (2020), Coupling an Online Ion Conductivity Measurement with the Particle-into-Liquid Sampler: Evaluation and Modeling Using Laboratory and Field Aerosol Data, Aerosol Sci. Tech., 54, 1542-1555, doi:10.1080/02786826.2020.1795499.
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Schuster, G., et al. (2019), A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, Remote Sensing, 11, doi:10.3390/rs11050498.
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Alexandrov, M.D., et al. (2018), Retrievals of cloud droplet size from the research scanning polarimeter data: T Validation using in situ measurements, Remote Sensing of Environment, 210, 76-95, doi:10.1016/j.rse.2018.03.005.
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Corr, C.A., et al. (2016), Observational evidence for the convective transport of dust over the Central United States, J. Geophys. Res., 121, doi:10.1002/2015JD023789.
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Crumeyrolle, S., et al. (2014), Factors that influence surface PM2.5 values inferred from satellite observations: perspective gained for the US Baltimore–Washington metropolitan area during DISCOVER-AQ, Atmos. Chem. Phys., 14, 2139-2153, doi:10.5194/acp-14-2139-2014.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
