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    Distance Velocity–Azimuth Display (DVAD)—New Interpretation and Analysis of Doppler Velocity

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 002::page 573
    Author:
    Lee, Wen-Chau
    ,
    Tang, Xiaowen
    ,
    Jou, Ben J.-D.
    DOI: 10.1175/MWR-D-13-00196.1
    Publisher: American Meteorological Society
    Abstract: he concept and mathematical framework of the distance velocity?azimuth display (DVAD) methodology is presented. DVAD uses rVd (Doppler velocity scaled by the distance from the radar to a gate, r) as the basis to display, interpret, and extract information from single Doppler radar observations. Both linear and nonlinear wind fields can be represented by the same Cartesian polynomial with different orders. DVAD is mathematically concise and superior to the velocity?azimuth display (VAD) in interpreting and deducing flow characteristics. The rVd pattern of a two-dimensional linear wind field is exclusively in the form of a bivariate quadratic equation representing conic sections (e.g., ellipse, parabola, and hyperbola) centered at the radar depending only on divergence and deformation. The presence of a constant background flow translates the conic sections to a different origin away from the radar. It is possible to graphically estimate the characteristics of a linear wind field from the conical sections without performing a VAD analysis. DVAD analysis can deduce quantitative flow characteristics by a least squares fitting and/or a derivative method, and is a natural way to account for nonlinearity. The rVd pattern behaves similar to a type of velocity potential in fluid mechanics where ?(rVd) is a proxy of the true wind vector and is used to estimate the general flow pattern in the vicinity of the radar.
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      Distance Velocity–Azimuth Display (DVAD)—New Interpretation and Analysis of Doppler Velocity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4230253
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    contributor authorLee, Wen-Chau
    contributor authorTang, Xiaowen
    contributor authorJou, Ben J.-D.
    date accessioned2017-06-09T17:31:20Z
    date available2017-06-09T17:31:20Z
    date copyright2014/02/01
    date issued2013
    identifier issn0027-0644
    identifier otherams-86670.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230253
    description abstracthe concept and mathematical framework of the distance velocity?azimuth display (DVAD) methodology is presented. DVAD uses rVd (Doppler velocity scaled by the distance from the radar to a gate, r) as the basis to display, interpret, and extract information from single Doppler radar observations. Both linear and nonlinear wind fields can be represented by the same Cartesian polynomial with different orders. DVAD is mathematically concise and superior to the velocity?azimuth display (VAD) in interpreting and deducing flow characteristics. The rVd pattern of a two-dimensional linear wind field is exclusively in the form of a bivariate quadratic equation representing conic sections (e.g., ellipse, parabola, and hyperbola) centered at the radar depending only on divergence and deformation. The presence of a constant background flow translates the conic sections to a different origin away from the radar. It is possible to graphically estimate the characteristics of a linear wind field from the conical sections without performing a VAD analysis. DVAD analysis can deduce quantitative flow characteristics by a least squares fitting and/or a derivative method, and is a natural way to account for nonlinearity. The rVd pattern behaves similar to a type of velocity potential in fluid mechanics where ?(rVd) is a proxy of the true wind vector and is used to estimate the general flow pattern in the vicinity of the radar.
    publisherAmerican Meteorological Society
    titleDistance Velocity–Azimuth Display (DVAD)—New Interpretation and Analysis of Doppler Velocity
    typeJournal Paper
    journal volume142
    journal issue2
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-13-00196.1
    journal fristpage573
    journal lastpage589
    treeMonthly Weather Review:;2013:;volume( 142 ):;issue: 002
    contenttypeFulltext
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