Luke D. Ziemba

Organization

NASA Langley Research Center

First Author Publications

Ziemba, L.D., et al. (2013), Airborne observations of aerosol extinction by in situ and remote-sensing techniques: Evaluation of particle hygroscopicity, Geophys. Res. Lett., 40, 417-422, doi:10.1029/2012GL054428.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

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.
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.
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.
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.
Zhang, J., et al. (2024), Stratospheric air intrusions promote global-scale new particle formation.Science, Wang, 385, 210-216, doi:10.1126/science.adn2961.
Brunke, M.A., et al. (2023), Aircraft Observations of Turbulence in Cloudy and Cloud-Free Boundary Layers Over the Western North Atlantic Ocean From ACTIVATE and Implications for the Earth System Model Evaluation and Development, J. Geophys. Res..
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.
Ferrare, R.A., 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.
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.
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.
Vömel, H.1.✉., et al. (2023), OPEN Dropsonde observations during Data Descriptor the Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment, Nature, doi:10.1038/s41597-023-02647-5.
Zhu, H., et al. (2023), Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties, Atmos. Chem. Phys., doi:10.5194/acp-23-5023-2023.
Corral, A., et al. (2022), Cold Air Outbreaks Promote New Particle Formation Off the U.S. East Coast, Geophys. Res. Lett..
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.
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.
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.
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.
LeBlanc, S., et al. (2022), Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties, Atmos. Chem. Phys., doi:10.5194/acp-22-11275-2022.
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.
Schlosser, J.S., et al. (2022), Polarimeter + Lidar–Derived Aerosol Particle Number Concentration, Front. Remote Sens., 3, 885332, doi:10.3389/frsen.2022.885332.
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.
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.
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.
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.
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.
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.
Sinclair, K.A., et al. (2020), Observations of Aerosol‐Cloud Interactions During the North Atlantic Aerosol and Marine Ecosystem Study, Geophys. Res. Lett., 47, 1-10, doi:10.1029/2019GL085851.
Froyd, K.D., et al. (2019), A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry, Atmos. Meas. Tech., 12, 6209-6239, doi:10.5194/amt-12-6209-2019.
Schuster, G., et al. (2019), A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, Remote Sensing, 11, doi:10.3390/rs11050498.
Sinclair, K.A., et al. (2019), Polarimetric retrievals of cloud droplet number concentrations T a,b,⁎ b,c b b,c, Remote Sensing of Environment, 228, 227-240, doi:10.1016/j.rse.2019.04.008.
Aldhaif, A.M., et al. (2018), Characterization of the Real Part of Dry Aerosol Refractive Index Over North America From the Surface to 12 km, J. Geophys. Res., 123, doi:10.1029/2018JD028504.
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.
Ervens, B., et al. (2018), Is there an aerosol signature of chemical cloud processing?, Atmos. Chem. Phys., 18, 16099-16119, doi:10.5194/acp-18-16099-2018.
Jean-Paul, J.J., et al. (2018), Batal: The Balloon Measurement Campaigns of the Asian Tropopause Aerosol Layer, Bull. Am. Meteorol. Soc., 955, doi:10.1175/BAMS-D-17-0014.1.
Buchard-Marchant, V.J., et al. (2017), The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies, J. Climate, 30, 6851-6872, doi:10.1175/JCLI-D-16-0613.1.
Espinosa, W.R., et al. (2017), Retrievals of aerosol optical and microphysical properties from Imaging Polar Nephelometer scattering measurements, Atmos. Meas. Tech., 10, 811-824, doi:10.5194/amt-10-811-2017.
Perring, A.E., et al. (2017), In situ measurements of water uptake by black carbon-containing aerosol in wildfire plumes, J. Geophys. Res., 122, 1086-1097, doi:10.1002/2016JD025688.
Sawamura, P., et al. (2017), c Author(s) 2017. CC-BY 3.0 License. HSRL-2 aerosol optical measurements and microphysical retrievals vs. airborne in situ measurements during DISCOVER-AQ 2013: an intercomparison study, Atmos. Chem. Phys., doi:10.5194/acp-2016-1164.
Schwarz, J.P., et al. (2017), Aircraft measurements of black carbon vertical profiles show upper tropospheric variability and stability, Geophys. Res. Lett., 44, doi:10.1002/2016GL071241.
Sorooshian, A., et al. (2017), Contrasting aerosol refractive index and hygroscopicity in the inflow and outflow of deep convective storms: Analysis of airborne data from DC3, J. Geophys. Res., 122, 4565-4577, doi:10.1002/2017JD026638.
Beyersdorf, A., et al. (2016), The impacts of aerosol loading, composition, and water uptake on aerosol extinction variability in the Baltimore–Washington, D.C. region, Atmos. Chem. Phys., 16, 1003-1015, doi:10.5194/acp-16-1003-2016.
Brock, C.A., et al. (2016), Aerosol optical properties in the southeastern United States in summer – Part 2: Sensitivity of aerosol optical depth to relative humidity and aerosol parameters, Atmos. Chem. Phys., 16, 5009-5019, doi:10.5194/acp-16-5009-2016.
Brock, C.A., et al. (2016), Aerosol optical properties in the southeastern United States in summer – Part 1: Hygroscopic growth, Atmos. Chem. Phys., 16, 4987-5007, doi:10.5194/acp-16-4987-2016.
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.
Liu, X., et al. (2016), Agricultural fires in the southeastern U.S. during SEAC4RS: Emissions of trace gases and particles and evolution of ozone, reactive nitrogen, and organic aerosol, J. Geophys. Res., 121, 7383-7414, doi:10.1002/2016JD025040.
Shingler, T., et al. (2016), Airborne characterization of subsaturated aerosol hygroscopicity and dry refractive index from the surface to 6.5km during the SEAC4RS campaign, J. Geophys. Res., 121, 4188-4210, doi:10.1002/2015JD024498.
Shingler, T., et al. (2016), Ambient observations of hygroscopic growth factor and f(RH) below 1: Case studies from surface and airborne measurements, J. Geophys. Res., 121, doi:10.1002/2016JD025471.
Yu, P., et al. (2016), Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model, J. Geophys. Res., 121, 7079-7087, doi:10.1002/2015JD024702.
Zamora, L.M., et al. (2016), Aircraft-measured indirect cloud effects from biomass burning smoke in the Arctic and subarctic, Atmos. Chem. Phys., 16, 715-738, doi:10.5194/acp-16-715-2016.
Forrister, H., et al. (2015), Evolution of brown carbon in wildfire plumes, Geophys. Res. Lett., 42, 4623-4630, doi:10.1002/2015GL063897.
Liao, J., et al. (2015), Airborne organosulfates measurements over the continental US, J. Geophys. Res., 120, 2990-3005, doi:10.1002/2014JD022378.
Liu, J., et al. (2015), Brown carbon aerosol in the North American continental troposphere: sources, abundance, and radiative forcing, Atmos. Chem. Phys., 15, 7841-7858, doi:10.5194/acp-15-7841-2015.
Saide Peralta, P.E., et al. (2015), Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion, Geophys. Res. Lett., 42, 3609-3618, doi:10.1002/2015GL063737.
Wagner, N.L., et al. (2015), In situ vertical profiles of aerosol extinction, mass, and composition over the southeast United States during SENEX and SEAC4RS: observations of a modest aerosol enhancement aloft, Atmos. Chem. Phys., 15, 7085-7102, doi:10.5194/acp-15-7085-2015.
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.
Duncan, B., et al. (2014), Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid, Atmos. Environ., 94, 647-662, doi:10.1016/j.atmosenv.2014.05.061.
Liu, J., et al. (2014), Brown carbon in the continental troposphere, Geophys. Res. Lett., 41, 2191-2195, doi:10.1002/2013GL058976.
Sawamura, P., et al. (2014), Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011, Atmos. Meas. Tech., 7, 3095-3112, doi:10.5194/amt-7-3095-2014.
Schafer, J.S., et al. (2014), Intercomparison of aerosol single-scattering albedo derived from AERONET surface radiometers and LARGE in situ aircraft profiles during the 2011 DRAGON-MD and DISCOVER-AQ experiments, J. Geophys. Res., 119, 7439-7452.
DeLeon-Rodriguez, N., et al. (2013), Microbiome of the upper troposphere: Species composition and prevalence, effects of tropical storms, and atmospheric implications, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1212089110.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration