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    Interpretation of Polarimetric Radar Covariance Matrix for Meteorological Scatterers: Theoretical Analysis

    Source: Journal of Atmospheric and Oceanic Technology:;2001:;volume( 018 ):;issue: 003::page 315
    Author:
    Ryzhkov, Alexander V.
    DOI: 10.1175/1520-0426(2001)018<0315:IOPRCM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A simple model of the radar scattering by atmospheric particles is used to interpret all elements of the covariance scattering matrix. The components of the covariance scattering matrix and corresponding polarimetric variables are expressed via a limited number of integral parameters that characterize distributions of sizes, shapes, and orientations of meteorological scatterers. The co?cross-polar correlation coefficients ?xh and ?x? measured in the horizontal?vertical linear polarization basis are the major focus of this study. It is shown that the magnitudes of both coefficients are almost entirely determined by orientation of particles and do not depend on particle sizes and shapes. The phases of these coefficients can be used to detect the presence of melting hail or wet snow in the radar resolution volume. A model of the mean canting angle of raindrops varying along a propagation path is developed to examine effects of propagation on the depolarization variables such as ?xh, ?x?, and linear depolarization ratio. Analysis shows that depolarization variables are very sensitive to the mean canting angle averaged over a long propagation path.
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      Interpretation of Polarimetric Radar Covariance Matrix for Meteorological Scatterers: Theoretical Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4154123
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    contributor authorRyzhkov, Alexander V.
    date accessioned2017-06-09T14:22:20Z
    date available2017-06-09T14:22:20Z
    date copyright2001/03/01
    date issued2001
    identifier issn0739-0572
    identifier otherams-1815.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4154123
    description abstractA simple model of the radar scattering by atmospheric particles is used to interpret all elements of the covariance scattering matrix. The components of the covariance scattering matrix and corresponding polarimetric variables are expressed via a limited number of integral parameters that characterize distributions of sizes, shapes, and orientations of meteorological scatterers. The co?cross-polar correlation coefficients ?xh and ?x? measured in the horizontal?vertical linear polarization basis are the major focus of this study. It is shown that the magnitudes of both coefficients are almost entirely determined by orientation of particles and do not depend on particle sizes and shapes. The phases of these coefficients can be used to detect the presence of melting hail or wet snow in the radar resolution volume. A model of the mean canting angle of raindrops varying along a propagation path is developed to examine effects of propagation on the depolarization variables such as ?xh, ?x?, and linear depolarization ratio. Analysis shows that depolarization variables are very sensitive to the mean canting angle averaged over a long propagation path.
    publisherAmerican Meteorological Society
    titleInterpretation of Polarimetric Radar Covariance Matrix for Meteorological Scatterers: Theoretical Analysis
    typeJournal Paper
    journal volume18
    journal issue3
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2001)018<0315:IOPRCM>2.0.CO;2
    journal fristpage315
    journal lastpage328
    treeJournal of Atmospheric and Oceanic Technology:;2001:;volume( 018 ):;issue: 003
    contenttypeFulltext
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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
    yabeshDSpacePersian