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.
Co-Authored Publications:
- DeMott, P. J., et al. (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles.
- 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.
- Crosbie, E., 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., 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., 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., 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., 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., 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., 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., 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., 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), 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.
- 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.
- 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, 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.