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    VIIRS Captures Aurora Motions 

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010:;page 1491
    Author(s): Seaman, Curtis J.; Miller, Steven D.
    Publisher: American Meteorological Society
    Abstract: en found that the day/night band of the Visible Infrared Imaging Radiometer Suite is capable of observing rapid motions of the aurora. The images that led to this discovery are shown. Shifts in the apparent position of the ...
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    Turning Night into Day: The Creation and Validation of Synthetic Nighttime Visible Imagery Using the Visible Infrared Imaging Radiometer Suite (VIIRS) Day–Night Band (DNB) and Machine Learning 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Pasillas, Chandra M.; Kummerow, Christian; Bell, Michael; Miller, Steven D.
    Publisher: American Meteorological Society
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    Dopant Clustering and Correlated Oxygen Migration in Conditionally Stabilized Zirconia Electrolytes 

    Source: Journal of Fuel Cell Science and Technology:;2015:;volume( 012 ):;issue: 002:;page 21003
    Author(s): Miller, Steven P.; Dunlap, Brett I.; Fleischer, Amy S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Molecular dynamics (MD) simulation of yttria/scandiastabilized zirconia (SSZ) with variably distributed Y/Sc dopant ions shows that energy is minimized when the dopants are uniformly spread apart, provided that the lattice ...
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    Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations 

    Source: Journal of Applied Meteorology and Climatology:;2021:;volume( 060 ):;issue: 001:;page 3
    Author(s): Hilburn, Kyle A.;Ebert-Uphoff, Imme;Miller, Steven D.
    Publisher: American Meteorological Society
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    Satellite-Based Imagery Techniques for Daytime Cloud/Snow Delineation from MODIS 

    Source: Journal of Applied Meteorology:;2005:;volume( 044 ):;issue: 007:;page 987
    Author(s): Miller, Steven D.; Lee, Thomas F.; Fennimore, Robert L.
    Publisher: American Meteorological Society
    Abstract: This paper presents two multispectral enhancement techniques for distinguishing between regions of cloud and snow cover using optical spectrum passive radiometer satellite observations from the Moderate Resolution Imaging ...
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    NASA MODIS Previews NPOESS VIIRS Capabilities 

    Source: Weather and Forecasting:;2006:;volume( 021 ):;issue: 004:;page 649
    Author(s): Lee, Thomas F.; Miller, Steven D.; Schueler, Carl; Miller, Shawn
    Publisher: American Meteorological Society
    Abstract: The Visible/Infrared Imager Radiometer Suite (VIIRS), scheduled to fly on the satellites of the National Polar-orbiting Operational Environmental Satellite System, will combine the missions of the Advanced Very High ...
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    The Impacts of the 9 April 2009 Dust and Smoke on Convection 

    Source: Bulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 008:;page 991
    Author(s): Lindsey, Daniel T.; Miller, Steven D.; Grasso, Louie
    Publisher: American Meteorological Society
    Abstract: No Abstract available.
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    Near-Real-Time Applications of CloudSat Data 

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 007:;page 1982
    Author(s): Mitrescu, Cristian; Miller, Steven; Hawkins, Jeffrey; L’Ecuyer, Tristan; Turk, Joseph; Partain, Philip; Stephens, Graeme
    Publisher: American Meteorological Society
    Abstract: Within 2 months of its launch in April 2006 as part of the Earth Observing System A-Train satellite constellation, the National Aeronautics and Space Administration Earth System Science Pathfinder (ESSP) CloudSat mission ...
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    Comparison of GOES Cloud Classification Algorithms Employing Explicit and Implicit Physics 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 007:;page 1411
    Author(s): Bankert, Richard L.; Mitrescu, Cristian; Miller, Steven D.; Wade, Robert H.
    Publisher: American Meteorological Society
    Abstract: Cloud-type classification based on multispectral satellite imagery data has been widely researched and demonstrated to be useful for distinguishing a variety of classes using a wide range of methods. The research described ...
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    CloudSat Precipitation Profiling Algorithm—Model Description 

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 005:;page 991
    Author(s): Mitrescu, Cristian; L’Ecuyer, Tristan; Haynes, John; Miller, Steven; Turk, Joseph
    Publisher: American Meteorological Society
    Abstract: Identifying and quantifying the intensity of light precipitation at global scales is still a difficult problem for most of the remote sensing algorithms in use today. The variety of techniques and algorithms employed for ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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