Organization
University of Oklahoma
Email
Business Phone
Work
(217) 265-5458
Mobile
(217) 299-2340
Fax
(217) 244-4393
Business Address
University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
120 David L. Bohren Blvd.
Norman, OK 73072
United States
First Author Publications
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McFarquhar, G.M., et al. (2011), Airborne Instrumentation Needs For Climate And Atmospheric Research, Bull. Am. Meteorol. Soc., 1193.
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McFarquhar, G.M., et al. (2007), Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment: 1. Observations, J. Geophys. Res., 112, D24201, doi:10.1029/2007JD008633.
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McFarquhar, G.M., et al. (2006), Factors Affecting the Evolution of Hurricane Erin (2001) and the Distributions of Hydrometeors: Role of Microphysical Processes, J. Atmos. Sci., 63, 127-150.
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McFarquhar, G.M., et al. (2004), Trade wind cumuli statistics in clean and polluted air over the Indian Ocean from in situ and remote sensing measurements, Geophys. Res. Lett., 31, L21105, doi:10.1029/2004GL020412.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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De Vera, M.V., et al. (2024), Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables, Atmos. Chem. Phys., doi:10.5194/acp-24-5603-2024.
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McMurdie, L.A., et al. (2024), Chasing Snowstorms The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Campaign, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-20-0246.1.
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Zaremba, T.J., et al. (2024), Cloud-Top Phase Characterization of Extratropical Cyclones over the Northeast and Midwest United States: Results from IMPACTS, J. Atmos. Sci., 81, 341-361, doi:10.1175/JAS-D-23-0123.1.
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Dunnavan, E.L., et al. (2023), High-Resolution Snowstorm Measurements and Retrievals Using Cross-Platform Multi-Frequency and Polarimetric Radars, Geophys. Res. Lett., 50, e2023GL103692, doi:10.1029/2023GL103692.
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Janiszeski, A., et al. (2023), A Kinematic Modeling Study of the Reorganization of Snowfall between Cloud-Top Generating Cells and Low-Level Snowbands in Midlatitude Winter Storms, J. Atmos. Sci., 80, 2729-2745, doi:10.1175/JAS-D-23-0024.1.
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Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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Fu, D., et al. (2022), An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2 Ex, Atmos. Chem. Phys., doi:10.5194/acp-22-8259-2022.
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Gupta, S., et al. (2021), Impact of the Variability in Vertical Separation between BiomassBurning Aerosols and Marine Stratocumulus on Cloud Microphysical Properties over the Southeast Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-2020-1039.
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Miller, R.M., et al. (2021), Observations of Supermicron-Sized Aerosols Originating from Biomass Burning in South Central Africa, Atmos. Chem. Phys. Discuss., [preprint], in review, doi:10.5194/acp-2021-414.
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Redemann, J., et al. (2021), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507-1563, doi:10.5194/acp-21-1507-2021.
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Gupta, S., et al. (2020), Impact of the Variability in Vertical Separation between Biomass-Burning Aerosols and Marine Stratocumulus on Cloud Microphysical Properties over the Southeast Atlantic, Atmos. Chem. Phys. Discuss., in review, doi:10.5194/acp-2020-1039.
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Redemann, J., et al. (2020), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the Southeast Atlantic basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2020-449.
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Fridlind, A.M., et al. (2017), Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case, Atmos. Chem. Phys., 17, 5947-5972, doi:10.5194/acp-17-5947-2017.
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Fridlind, A.M., et al. (2016), Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model, Atmos. Chem. Phys., 16, 7251-7283, doi:10.5194/acp-16-7251-2016.
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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.
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Endo, S., et al. (2015), RACORO continental boundary layer cloud investigations: 2. Large-eddy simulations of cumulus clouds and evaluation with in situ and ground-based observations, J. Geophys. Res., 120, 5993-6014, doi:10.1002/2014JD022525.
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Jackson, R.C., et al. (2015), The dependence of cirrus gamma size distributions expressed as volumes in N0-λ-μ phase space and bulk cloud properties on environmental conditions: Results from the Small Ice Particles in Cirrus Experiment (SPARTICUS), J. Geophys. Res., 120, doi:10.1002/2015JD023492.
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Ovchinnikov, M., et al. (2014), Intercomparison of large-eddy simulations of Arctic mixed-phase clouds: Importance of ice size distribution assumptions, J. Adv. Modeling Earth Syst., 6, 223-248, doi:10.1002/2013MS000282.
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Baumgardner, D., et al. (2012), In Situ, Airborne Instrumentation: Addressing and Solving Measurement Problems in Ice Clouds, Bull. Am. Meteorol. Soc., ES29-ES34.
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Lazzara, M.A., et al. (2012), David H. Bromwich,1,2 Julien P. Nicolas,1,2 Keith M. Hines,1 Jennifer E. Kay,3 Erica L. Key,4, Rev. Geophys., 50, RG1004, doi:10.1029/2011RG000363.
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Vogelmann, A.M., et al. (2012), Racoro Extended-Term Aircraft Observations Of Boundary Layer Clouds, Bull. Am. Meteorol. Soc., 861-878, doi:10.1175/BAMS-D-11-00189.1.
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Avramov, A., et al. (2011), Toward ice formation closure in Arctic mixed‐phase boundary layer clouds during ISDAC, J. Geophys. Res., 116, D00T08, doi:10.1029/2011JD015910.
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Botta, G., et al. (2011), Millimeter wave scattering from ice crystals and their aggregates: Comparing cloud model simulations with X‐ and Ka‐band radar measurements, J. Geophys. Res., 116, D00T04, doi:10.1029/2011JD015909.
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Dey, S., et al. (2011), Satellite‐observed relationships between aerosol and trade‐wind cumulus cloud properties over the Indian Ocean, Geophys. Res. Lett., 38, L01804, doi:10.1029/2010GL045588.
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Klein, S.A., et al. (2009), Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single-layer cloud, Q. J. R. Meteorol. Soc., 135, 979-1002, doi:10.1002/qj.416.
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van Diedenhoven, B., et al. (2009), An evaluation of ice formation in large-eddy simulations of supercooled Arctic stratocumulus using ground-based lidar and cloud radar, J. Geophys. Res., 114, D10203, doi:10.1029/2008JD011198.
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Luo, Y., et al. (2008), Multi-layer arctic mixed-phase clouds simulated by a cloud-resolving model: Comparison with ARM observations and sensitivity experiments, J. Geophys. Res., 113, D12208, doi:10.1029/2007JD009563.
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Fridlind, A.M., et al. (2007), Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment: 2. Model results, J. Geophys. Res., 112, D24202, doi:10.1029/2007JD008646.
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Rolland, P., et al. (2000), Remote sensing of optical and microphysical properties of cirrus clouds using Moderate-Resolution Imaging Spectroradiometer channels: Methodology and sensitivity to physical assumptions, J. Geophys. Res., 105, 11721-11738.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
