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Kerry G. Meyer, Ph.D.

Affiliations: 
2007 Texas A & M University, College Station, TX, United States 
Area:
Atmospheric Sciences, Remote Sensing
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Parents

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Ping Yang grad student 2007 Texas A & M
 (Global ice cloud observations: Radiative properties and statistics from moderate-resolution imaging spectroradiometer measurements.)

Children

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Daniel John Miller post-doc 2017-2019 NASA Goddard Space Flight Center
Daniel John Miller research scientist 2019- NASA Goddard Space Flight Center

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Publications

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Yuan T, Song H, Wood R, et al. (2023) Observational evidence of strong forcing from aerosol effect on low cloud coverage. Science Advances. 9: eadh7716
Redemann J, Wood R, Zuidema P, 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 Atmospheric Chemistry and Physics. 21: 1507-1563
Chang I, Gao L, Burton SP, et al. (2021) Spatiotemporal Heterogeneity of Aerosol and Cloud Properties Over the Southeast Atlantic: An Observational Analysis Geophysical Research Letters. 48
Wind G(, Platnick S, Meyer K, et al. (2021) Corrigendum to “The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors” [Comput. Geosci. 134 (2019) 104345] Computers & Geosciences. 149: 104711
Yuan T, Song H, Wood R, et al. (2020) Applying Deep Learning to NASA MODIS Data to Create a Community Record of Marine Low Cloud Mesoscale Morphology Atmospheric Measurement Techniques Discussions. 1-16
Marchant B, Platnick S, Meyer K, et al. (2020) Evaluation of the Aqua MODIS Collection 6.1 multilayer cloud detection algorithm through comparisons with CloudSat CPR and CALIPSO CALIOP products Atmospheric Measurement Techniques Discussions. 1-29
Marchant B, Platnick S, Meyer K, et al. (2020) Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products Atmospheric Measurement Techniques. 13: 3263-3275
Wang C, Platnick S, Meyer K, et al. (2020) A Machine Learning-Based Cloud Detection and Thermodynamic Phase Classification Algorithm using Passive Spectral Observations Atmospheric Measurement Techniques. 13: 2257-2277
Redemann J, Wood R, Zuidema P, 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 Atmospheric Chemistry and Physics. 1-82
Mallet M, Solmon F, Nabat P, et al. (2020) Direct and semi-direct radiative forcing of biomass burning aerosols over the Southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study Atmospheric Chemistry and Physics. 1-39
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