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Matthew McGill
Organization:
University of Iowa
Email:
Business Phone:
Mobile:
(410) 474-7306
Business Address:
University of Iowa
Dept. of Chemical and Biochemical Engineering
4133 Seamans Center
Iowa City, IA 52242
United StatesFirst Author Publications:
- McGill, M., et al. (2023), (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice., TYPE Original Research, doi:10.3389/frsen.2023.1116817.
- McGill, M., and J. Yorks (2020), Observation and quantification of westerly outflow from southern Africa using spaceborne lidar, S Afr J Sci., 116, 6398-6404, doi:10.17159/sajs.2020/6398.
- McGill, M., et al. (2007), Airborne validation of spatial properties measured by the CALIPSO lidar, J. Geophys. Res., 112, D20201, doi:10.1029/2007JD008768.
- McGill, M., et al. (2004), Combined lidar-radar remote sensing: Initial results from CRYSTAL-FACE, J. Geophys. Res., 109, D07203, doi:10.1029/2003JD004030.
- McGill, M., et al. (2002), The Cloud Physics Lidar: Instrument Description and Initial Measurement Results, Appl. Opt., 41, 3725-3734.
Co-Authored Publications:
- Nowottnick, E. P., et al. (2022), Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling, Atmosphere, 13, 1439, doi:10.3390/atmos13091439.
- Chen, X., et al. (2021), First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates, Remote Sensing of Environment, 265, 112674, doi:10.1016/j.rse.2021.112674.
- Zhou, D. K., et al. (2021), Wildfire-Induced CO Plume Observations From NAST-I During the FIREX-AQ Field Campaign, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 14, 2901-2910, doi:10.1109/JSTARS.2021.3059855.
- Midzak, N., et al. (2020), A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign, J. Atmos. Oceanic Technol., 37, 2185-2196, doi:10.1175/JTECH-D-20-0037.1.
- Christian, K., et al. (2019), Radiative Forcing and Stratospheric Warming of Pyrocumulonimbus Smoke Aerosols: First Modeling Results With Multisensor (EPIC, CALIPSO, and CATS) Views from Space, Geophys. Res. Lett., 46, 10,061-10,071, doi:10.1029/2019GL082360.
- Pauly, R., et al. (2019), Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation, Atmos. Meas. Tech., 12, 6241-6258, doi:10.5194/amt-12-6241-2019.
- Jensen, E., et al. (2017), The NASA Airborne Tropical TRopopause EXperiment (ATTREX): High-altitude aircraft measurements in the tropical western Pacific, Bull. Am. Meteorol. Soc., 12/2015, 129-144, doi:10.1175/BAMS-D-14-00263.1.
- Sinclair, K., et al. (2017), Remote sensing of multiple cloud layer heights using multi-angular measurements, Atmos. Meas. Tech., 10, 2361-2375, doi:10.5194/amt-10-2361-2017.
- Alexandrov, M. D., et al. (2016), Polarized view of supercooled liquid water clouds, Remote Sensing of Environment, 181, 96-110, doi:10.1016/j.rse.2016.04.002.
- Hughes, E. J., et al. (2016), Using CATS near-real-time lidar observations to monitor and constrain volcanic sulfur dioxide (SO2) forecasts, Geophys. Res. Lett., 43, 11,089-11,097, doi:10.1002/2016GL070119.
- Yorks, J., et al. (2016), An overview of the CATS level 1 processing algorithms and data products, Geophys. Res. Lett., 43, 4632-4639, doi:10.1002/2016GL068006.
- Alexandrov, M. D., et al. (2015), Liquid water cloud properties during the Polarimeter Definition Experiment (PODEX), Remote Sensing of Environment, 169, 20-36, doi:10.1016/j.rse.2015.07.029.
- Yorks, J., et al. (2014), The Airborne Cloud–Aerosol Transport System: Overview and Description of the Instrument and Retrieval Algorithms, J. Atmos. Oceanic Technol., 31, 2482-2497, doi:10.1175/JTECH-D-14-00044.1.
- Jensen, E., et al. (2013), Ice nucleation and dehydration in the Tropical Tropopause Layer, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1217104110.
- Hlavka, D., et al. (2012), Airborne validation of cirrus cloud properties derived from CALIPSO lidar measurements: Optical properties, J. Geophys. Res., 117, D09207, doi:10.1029/2011JD017053.
- Minnis, P., et al. (2012), Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals, Remote Sens., 4, 3022-3054, doi:10.3390/rs4103022.
- Yorks, J., et al. (2011), Statistics of Cloud Optical Properties from Airborne Lidar Measurements, J. Atmos. Oceanic Technol., 28, 869-883, doi:10.1175/2011JTECHA1507.1.
- Yorks, J., et al. (2011), Airborne validation of cirrus cloud properties derived from CALIPSO lidar measurements: Spatial properties, J. Geophys. Res., 116, D19207, doi:10.1029/2011JD015942.
- Avery, M., et al. (2010), Convective distribution of tropospheric ozone and tracers in the Central American ITCZ region: Evidence from observations during TC4, J. Geophys. Res., 115, D00J21, doi:10.1029/2009JD013450.
- Bucholtz, A., et al. (2010), Directly measured heating rates of a tropical subvisible cirrus cloud, J. Geophys. Res., 115, D00J09, doi:10.1029/2009JD013128.
- Chang, F., et al. (2010), Evaluation of satellite‐based upper troposphere cloud top height retrievals in multilayer cloud conditions during TC4, J. Geophys. Res., 115, D00J05, doi:10.1029/2009JD013305.
- Yost, C., et al. (2010), Comparison of GOES‐retrieved and in situ measurements of deep convective anvil cloud microphysical properties during the Tropical Composition, Cloud and Climate Coupling Experiment (TC4), J. Geophys. Res., 115, D00J06, doi:10.1029/2009JD013313.
- Jensen, E., et al. (2009), On the importance of small ice crystals in tropical anvil cirrus, Atmos. Chem. Phys. Discuss., 9, 5321-5370.
- Vaughan, M., et al. (2009), On the spectral dependence of backscatter from cirrus clouds: an assessment of CALIOP's 1064 nm calibration using Cloud Physics Lidar measurements, Atmos. Chem. Phys. (submitted).
- Yorks, J., et al. (2009), Radiative effects of African dust and smoke observed from Clouds and the Earth’s Radiant Energy System (CERES) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data, J. Geophys. Res., 114, D00H04, doi:10.1029/2009JD012000.
- Chiriaco, M., et al. (2007), Comparison of CALIPSO-Like, LaRC, and MODIS Retrievals of Ice-Cloud Properties over SIRTA in France and Florida during CRYSTAL-FACE, J. Appl. Meteor. Climat., 46, 249-272, doi:10.1175/JAM2435.1.
- Noel, V., et al. (2007), Extinction coefficients retrieved in deep tropical ice clouds from lidar observations using a CALIPSO-like algorithm compared to in-situ measurements from the cloud integrating nephelometer during CRYSTAL-FACE, Atmos. Chem. Phys., 7, 1415-1422, doi:10.5194/acp-7-1415-2007.
- Cahalan, B., et al. (2005), THOR—Cloud thickness from offbeam lidar returns, J. Atmos. Oceanic. Technol., 22, 605-627.
- Chepfer, H., et al. (2005), Particle habit in tropical ice clouds during CRYSTAL-FACE: Comparison of two remote sensing techniques with in situ observations, J. Geophys. Res., 110, D16204, doi:10.1029/2004JD005455.
- Jensen, E., et al. (2005), Formation of a Tropopause Cirrus Layer Observed over Florida during CRYSTAL-FACE, J. Geophys. Res., 110, 2005, doi:10.1029/2004JD004671.
- Zhou, D. K., et al. (2005), Thermodynamic and cloud parameter retrieval using infrared spectral data, Geophys. Res. Lett., 32, L15805, doi:10.1029/2005GL023211.
- Garrett, T., et al. (2004), Convective generation of cirrus near the tropopause, J. Geophys. Res., 109, D21203, doi:10.1029/2004JD004952.
- Ridley, B., et al. (2004), Florida thunderstorms: A faucet of reactive nitrogen to the upper troposphere, J. Geophys. Res., 109, D17305, doi:10.1029/2004JD004769.
- Sherwood, S. C., P. Minnis, and M. McGill (2004), Deep convective cloud-top heights and their thermodynamic control during CRYSTAL-FACE, J. Geophys. Res., 109, D20119, doi:10.1029/2004JD004811.
- Sherwood, S. C., et al. (2004), Underestimation of deep convective cloud tops by thermal imagery, Geophys. Res. Lett., 31, L11102, doi:10.1029/2004GL019699.
- Schmid, B., et al. (2003), Coordinated airborne, spaceborne, and ground-based measurements of massive, thick aerosol layers during the dry season in Southern Africa, J. Geophys. Res., 108, 8496, doi:10.1029/2002JD002297.