Michael J. Garay
Raytheon
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Featured researches published by Michael J. Garay.
IEEE Transactions on Geoscience and Remote Sensing | 2009
Ralph A. Kahn; D. L. Nelson; Michael J. Garay; Robert C. Levy; M. A. Bull; David J. Diner; John V. Martonchik; Susan R. Paradise; Earl G. Hansen; Lorraine A. Remer
In this paper, Multi-angle Imaging SpectroRadiometer (MISR) aerosol product attributes are described, including geometry and algorithm performance flags. Actual retrieval coverage is mapped and explained in detail using representative global monthly data. Statistical comparisons are made with coincident aerosol optical depth (AOD) and Angstrom exponent (ANG) retrieval results from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. The relationship between these results and the ones previously obtained for MISR and MODIS individually, based on comparisons with coincident ground-truth observations, is established. For the data examined, MISR and MODIS each obtain successful aerosol retrievals about 15% of the time, and coincident MISR-MODIS aerosol retrievals are obtained for about 6%-7% of the total overlap region. Cloud avoidance, glint and oblique-Sun exclusions, and other algorithm physical limitations account for these results. For both MISR and MODIS, successful retrievals are obtained for over 75% of locations where attempts are made. Where coincident AOD retrievals are obtained over ocean, the MISR-MODIS correlation coefficient is about 0.9; over land, the correlation coefficient is about 0.7. Differences are traced to specific known algorithm issues or conditions. Over-ocean ANG comparisons yield a correlation of 0.67, showing consistency in distinguishing aerosol air masses dominated by coarse-mode versus fine-mode particles. Sampling considerations imply that care must be taken when assessing monthly global aerosol direct radiative forcing and AOD trends with these products, but they can be used directly for many other applications, such as regional AOD gradient and aerosol air mass type mapping and aerosol transport model validation. Users are urged to take seriously the published product data-quality statements.
IEEE Transactions on Geoscience and Remote Sensing | 2010
Shirley R. Mims; Ralph A. Kahn; Catherine Moroney; Barbara J. Gaitley; D. L. Nelson; Michael J. Garay
Plume heights from wildfires are used in climate modeling to predict and understand trends in aerosol transport. This paper examines whether smoke from grassland fires in the desert regions of western and central Australia ever rises above the atmospheric boundary layer. Three methods for deriving plume heights from the Multi-angle Imaging SpectroRadiometer (MISR) instrument were utilized: (1) the MISR standard stereo-height algorithm; (2) the MISR enhanced stereo product; and (3) the MISR INteractive eXplorer (MINX) v.1 tool. To provide context and to search for correlative factors, stereo heights were combined with fire radiant energy flux from the Moderate Resolution Imaging Spectroradiometer instrument, atmospheric structure information from the National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis project model, surface cover from the Australia National Vegetation Information System, and forward and backward trajectories from the National Oceanic and Atmospheric Administration Hybrid Single-Particle Lagrangian Integrated Trajectory model. Although most smoke plumes concentrate in the near-surface boundary layer as expected, some appear to rise higher. Smoke that gets above the boundary layer will travel farther, remain in the atmosphere longer, and therefore have a larger environmental impact. It was previously thought unlikely for grassland fires to inject smoke above the boundary layer. Our findings suggest that climate modelers should reevaluate common assumptions about the heights of smoke plumes when producing aerosol transport models involving grassland fires. A closer examination of grassland fire energetics may also be warranted.
Remote Sensing of Clouds and the Atmosphere XVI | 2011
Olga V. Kalashnikova; Michael J. Garay; Irina N. Sokolik; David J. Diner; Ralph A. Kahn; John V. Martonchcik; Jae N. Lee; Omar Torres; Weidong Yang; Alexander Marshak; Sero Kassabian; Mark Chodas
Atmospheric mineral dust particles have significant effects on climate and the environment, and despite notable advances in modeling and satellite and ground-based measurements, remain one of the major factors contributing to large uncertainty in aerosol radiative forcing. We examine the Multi-angle Imaging SpectroRadiometer (MISR) 11+ year aerosol data record to demonstrate MISRs unique strengths and assess potential biases of MISR products for dust study applications. In particular, we examine MISRs unique capabilities to 1) distinguish dust aerosol from spherical aerosol types, 2) provide aerosol optical depths over bright desert source regions, and 3) provide high-resolution retrievals of dust plume heights and associated winds. We show examples of regional and global MISR data products in dusty regions together with quantitative evaluations of product accuracies through comparisons with independent data sources, and demonstrate applications of MISR data to dust regional and climatological studies, such as dust property evolution during transport, dust source climatology in relation to climatic factors, and dust source dynamics. The potential use of MISR radiance data to study dust properties is also discussed.
Journal of Geophysical Research | 2010
Ralph A. Kahn; Barbara J. Gaitley; Michael J. Garay; David J. Diner; Thomas F. Eck; Alexander Smirnov; Brent N. Holben
Journal of Geophysical Research | 2008
Michael J. Garay; Simon P. de Szoeke; Catherine Moroney
Journal of Quantitative Spectroscopy & Radiative Transfer | 2011
Ralph A. Kahn; Michael J. Garay; D. L. Nelson; Robert C. Levy; Michael A. Bull; David J. Diner; John V. Martonchik; Earl G. Hansen; Lorraine A. Remer; Didier Tanré
Atmospheric Research | 2012
David J. Diner; Rachel Hodos; Anthony B. Davis; Michael J. Garay; John V. Martonchik; Suniti V. Sanghavi; Paul von Allmen; Alexander A. Kokhanovsky; Peng-Wang Zhai
Journal of Quantitative Spectroscopy & Radiative Transfer | 2011
Olga V. Kalashnikova; Michael J. Garay; Anthony B. Davis; David J. Diner; John V. Martonchik
Intelligent Environments, 2008 IET 4th International Conference on | 2008
Michael C. Burl; Michael J. Garay; Clare Averill; Benjamin J. Bornstein; Lukas Mandrake; Justin Ng; Yi Wang
Journal of Geophysical Research | 2012
S. Scollo; Ralph A. Kahn; D. L. Nelson; M. Coltelli; David J. Diner; Michael J. Garay; V. J. Realmuto