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    Persistent Nature of Secondary Diurnal Modes of Precipitation over Oceanic and Continental Regimes 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 016:;page 4115
    Author(s): Yang, Song; Kuo, Kwo-Sen; Smith, Eric A.
    Publisher: American Meteorological Society
    Abstract: This investigation seeks a better understanding of the assorted mechanisms controlling the global distribution of diurnal precipitation variability based on the use of the Tropical Rainfall Measuring Mission (TRMM) microwave ...
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    A Physically Based, Meshless Lagrangian Approach to Simulate Melting Precipitation 

    Source: Journal of the Atmospheric Sciences:;2023:;volume( 080 ):;issue: 002:;page 353
    Author(s): Pelissier, Craig; Olson, William; Kuo, Kwo-Sen; Loftus, Adrian; Schrom, Robert; Adams, Ian
    Publisher: American Meteorological Society
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    Mathematical–Physical Framework for Retrieval of Rain DSD Properties from Dual-Frequency Ku–Ka-Band Satellite Radar 

    Source: Journal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 019:;page 2349
    Author(s): Kuo, Kwo-Sen; Smith, Eric A.; Haddad, Ziad; Im, Eastwood; Iguchi, Toshio; Mugnai, Alberto
    Publisher: American Meteorological Society
    Abstract: In developing the upcoming Global Precipitation Measurement (GPM) mission, a dual-frequency Ku?Ka-band radar system will be used to measure rainfall in such a fashion that the reflectivity ratio intrinsic to the measurement ...
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    A Physically Based, Meshless Lagrangian Approach to Simulate Melting Precipitation 

    Source: Journal of the Atmospheric Sciences:;2023:;volume( 080 ):;issue: 002
    Author(s): Pelissier, Craig; Olson, William; Kuo, Kwo-Sen; Loftus, Adrian; Schrom, Robert; Adams, Ian
    Publisher: American Meteorological Society
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    The Microwave Radiative Properties of Falling Snow Derived from Nonspherical Ice Particle Models. Part II: Initial Testing Using Radar, Radiometer and In Situ Observations 

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 003:;page 709
    Author(s): Olson, William S.; Tian, Lin; Grecu, Mircea; Kuo, Kwo-Sen; Johnson, Benjamin T.; Heymsfield, Andrew J.; Bansemer, Aaron; Heymsfield, Gerald M.; Wang, James R.; Meneghini, Robert
    Publisher: American Meteorological Society
    Abstract: n this study, two different particle models describing the structure and electromagnetic properties of snow are developed and evaluated for potential use in satellite combined radar?radiometer precipitation estimation ...
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    The Microwave Radiative Properties of Falling Snow Derived from Nonspherical Ice Particle Models. Part I: An Extensive Database of Simulated Pristine Crystals and Aggregate Particles, and Their Scattering Properties 

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 003:;page 691
    Author(s): Kuo, Kwo-Sen; Olson, William S.; Johnson, Benjamin T.; Grecu, Mircea; Tian, Lin; Clune, Thomas L.; van Aartsen, Bruce H.; Heymsfield, Andrew J.; Liao, Liang; Meneghini, Robert
    Publisher: American Meteorological Society
    Abstract: 3D growth model is used to simulate pristine ice crystals, which are aggregated using a collection algorithm to create larger, multicrystal particles. The simulated crystals and aggregates have mass-versus-size and fractal ...
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    Summer Snowfall Workshop: Scattering Properties of Realistic Frozen Hydrometeors from Simulations and Observations, as well as Defining a New Standard for Scattering Databases 

    Source: Bulletin of the American Meteorological Society:;2017:;volume 099:;issue 003:;page ES55
    Author(s): Kneifel, Stefan; Dias Neto, José; Ori, Davide; Moisseev, Dmitri; Tyynelä, Jani; Adams, Ian S.; Kuo, Kwo-Sen; Bennartz, Ralf; Berne, Alexis; Clothiaux, Eugene E.; Eriksson, Patrick; Geer, Alan J.; Honeyager, Ryan; Leinonen, Jussi; Westbrook, Christopher D.
    Publisher: American Meteorological Society
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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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