Greg McFarquhar

Organization

University of Oklahoma

Email

Contact person by 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

Website

http://www.atmos.uiuc.edu/~mcfarq

First Author Publications

McFarquhar, G.M., et al. (2011), Airborne Instrumentation Needs For Climate And Atmospheric Research, Bull. Am. Meteorol. Soc., 1193.
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.
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.
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

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.
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.
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.
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.
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.
Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Baumgardner, D., et al. (2012), In Situ, Airborne Instrumentation: Addressing and Solving Measurement Problems in Ice Clouds, Bull. Am. Meteorol. Soc., ES29-ES34.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Greg McFarquhar

National Aeronautics and Space Administration

National Aeronautics and
Space Administration