Andreas Beyersdorf

Organization

California State University, San Bernardino

Email

Contact person by email

Business Phone

Mobile

:

(949) 510-6840

Business Address

California State University, San Bernardino
5500 University Parkway
San Bernardino, CA 92407
United States

Website

Beyersdorf Group

First Author Publications

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.

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

Co-Authored Publications

Gordon, H., et al. (2024), NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS-AQ Data, J. Adv. Modeling Earth Syst..
Cuchiara, G.C., et al. (2023), Effect of Marine and Land Convection on Wet Scavenging of Ozone Precursors Observed During a SEAC 4RS Case Study, J. Geophys. Res..
Kacenelenbogen, M.S., et al. (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022.
Nair, A.A., et al. (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles, Geophys. Res. Lett., doi:10.1029/2021GL094133.
Cuchiara, G.C., et al. (2020), Vertical Transport, Entrainment, and Scavenging Processes Affecting Trace Gases in a Modeled and Observed SEAC4RS Case Study, J. Geophys. Res., 125, doi:10.1029/2019JD031957.
Eck, T.F., et al. (2020), Influence of cloud, fog, and high relative humidity during pollution transport events in South Korea: Aerosol properties and PM2.5 variability, Atmos. Environ., 232, 117530, doi:10.1016/j.atmosenv.2020.117530.
Heim, E.W., et al. (2020), Asian dust observed during KORUS-AQ facilitates the uptake and incorporation of soluble pollutants during transport to South Korea, Atmos. Environ., 224, 117305, doi:10.1016/j.atmosenv.2020.117305.
Jordan, C.E., et al. (2020), Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ, variability across the South Korean Peninsula during KORUS-AQ, 8, 28, doi:10.1525/elementa.424.
Saide Peralta, P.E., et al. (2020), Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ, Atmos. Chem. Phys., 20, 6455-6478, doi:10.5194/acp-20-6455-2020.
Schuster, G., et al. (2019), A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, Remote Sensing, 11, doi:10.3390/rs11050498.
Lamb, K.D., et al. (2018), Estimating Source Region Influences on Black Carbon Abundance, Microphysics, and Radiative Effect Observed Over South Korea, J. Geophys. Res., 123, 13,527-13,548, doi:10.1029/2018JD029257.
Nault, B.A., et al. (2018), Secondary organic aerosol production from local emissions dominates the organic aerosol budget over Seoul, South Korea, during KORUS-AQ, Atmos. Chem. Phys., 18, 17769-17800, doi:10.5194/acp-18-17769-2018.
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.
Liu, X., et al. (2017), Airborne measurements of western U.S. wildfire emissions: Comparison with prescribed burning and air quality implications, J. Geophys. Res., 122, 6108-6129, doi:10.1002/2016JD026315.
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.
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.
Müller, M., et al. (2016), In situ measurements and modeling of reactive trace gases in a small biomass burning plume, Atmos. Chem. Phys., 16, 3813-3824, doi:10.5194/acp-16-3813-2016.
Pusede, S.E., et al. (2016), On the effectiveness of nitrogen oxide reductions as a control over ammonium nitrate aerosol, Atmos. Chem. Phys., 16, 2575-2596, doi:10.5194/acp-16-2575-2016.
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.
Yates, E.L., et al. (2016), Airborne measurements and emission estimates of greenhouse gases and other trace constituents from the 2013 California Yosemite Rim wildfire, Atmos. Environ., 127, 293-302, doi:10.1016/j.atmosenv.2015.12.038.
Diskin, G.S., et al. (2015), Ammonia and methane dairy emission plumes in the San Joaquin Valley of California from individual feedlot to regional scales, J. Geophys. Res., NH3, CH4.
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.
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.
Lathem, T.L., et al. (2013), Analysis of CCN activity of Arctic aerosol and Canadian biomass burning during summer 2008, Atmos. Chem. Phys., 13, 2735-2756, doi:10.5194/acp-13-2735-2013.
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.
Corr, C.A., et al. (2012), Spectral absorption of biomass burning aerosol determined from retrieved single scattering albedo during ARCTAS, Atmos. Chem. Phys., 12, 10505-10518, doi:10.5194/acp-12-10505-2012.
Bon, D.M., et al. (2011), Measurements of volatile organic compounds at a suburban ground site (T1) in Mexico City during the MILAGRO 2006 campaign: measurement comparison, emission ratios, and source attribution, Atmos. Chem. Phys., 11, 2399-2421, doi:10.5194/acp-11-2399-2011.
Barletta, B., et al. (2009), Characterization of volatile organic compounds (VOCs) in Asian and north American pollution plumes during INTEX-B: identification of specific Chinese air mass tracers, Atmos. Chem. Phys., 9, 5371-5388, doi:10.5194/acp-9-5371-2009.
de Gouw, J.A., et al. (2009), Emission and chemistry of organic carbon in the gas and aerosol phase at a sub-urban site near Mexico City in March 2006 during the MILAGRO study, Atmos. Chem. Phys., 9, 3425-3442, doi:10.5194/acp-9-3425-2009.
Blake, N.J., et al. (2008), Carbonyl sulfide (OCS): Large-scale distributions over North America during INTEX-NA and relationship to CO2, J. Geophys. Res., 113, D09S90, doi:10.1029/2007JD009163.
Heald, C.L., et al. (2008), Total observed organic carbon (TOOC) in the atmosphere: a synthesis of North American observations, Atmos. Chem. Phys., 8, 2007-2025, doi:10.5194/acp-8-2007-2008.
Heald, C.L., et al. (2008), Total observed organic carbon (TOOC) in the atmosphere: a synthesis of North American observations, Atmos. Chem. Phys., 8, 2007-2025.

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

Andreas Beyersdorf

National Aeronautics and Space Administration

National Aeronautics and
Space Administration