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    Hurricane Sea Surface Inflow Angle and an Observation-Based Parametric Model

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 011::page 3587
    Author:
    Zhang, Jun A.
    ,
    Uhlhorn, Eric W.
    DOI: 10.1175/MWR-D-11-00339.1
    Publisher: American Meteorological Society
    Abstract: his study presents an analysis of near-surface (10 m) inflow angles using wind vector data from over 1600 quality-controlled global positioning system dropwindsondes deployed by aircraft on 187 flights into 18 hurricanes. The mean inflow angle in hurricanes is found to be ?22.6° ± 2.2° (95% confidence). Composite analysis results indicate little dependence of storm-relative axisymmetric inflow angle on local surface wind speed, and a weak but statistically significant dependence on the radial distance from the storm center. A small, but statistically significant dependence of the axisymmetric inflow angle on storm intensity is also found, especially well outside the eyewall. By compositing observations according to radial and azimuthal location relative to storm motion direction, significant inflow angle asymmetries are found to depend on storm motion speed, although a large amount of unexplained variability remains. Generally, the largest storm-relative inflow angles (8 m s?1) at large radii (>8 times the radius of maximum wind) in the right-front storm quadrant, while the smallest inflow angles (>?10°) are found in the fastest-moving storms in the left-rear quadrant. Based on these observations, a parametric model of low-wavenumber inflow angle variability as a function of radius, azimuth, storm intensity, and motion speed is developed. This model can be applied for purposes of ocean surface remote sensing studies when wind direction is either unknown or ambiguous, for forcing storm surge, surface wave, and ocean circulation models that require a parametric surface wind vector field, and evaluating surface wind field structure in numerical models of tropical cyclones.
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      Hurricane Sea Surface Inflow Angle and an Observation-Based Parametric Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4229837
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    contributor authorZhang, Jun A.
    contributor authorUhlhorn, Eric W.
    date accessioned2017-06-09T17:29:56Z
    date available2017-06-09T17:29:56Z
    date copyright2012/11/01
    date issued2012
    identifier issn0027-0644
    identifier otherams-86295.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229837
    description abstracthis study presents an analysis of near-surface (10 m) inflow angles using wind vector data from over 1600 quality-controlled global positioning system dropwindsondes deployed by aircraft on 187 flights into 18 hurricanes. The mean inflow angle in hurricanes is found to be ?22.6° ± 2.2° (95% confidence). Composite analysis results indicate little dependence of storm-relative axisymmetric inflow angle on local surface wind speed, and a weak but statistically significant dependence on the radial distance from the storm center. A small, but statistically significant dependence of the axisymmetric inflow angle on storm intensity is also found, especially well outside the eyewall. By compositing observations according to radial and azimuthal location relative to storm motion direction, significant inflow angle asymmetries are found to depend on storm motion speed, although a large amount of unexplained variability remains. Generally, the largest storm-relative inflow angles (8 m s?1) at large radii (>8 times the radius of maximum wind) in the right-front storm quadrant, while the smallest inflow angles (>?10°) are found in the fastest-moving storms in the left-rear quadrant. Based on these observations, a parametric model of low-wavenumber inflow angle variability as a function of radius, azimuth, storm intensity, and motion speed is developed. This model can be applied for purposes of ocean surface remote sensing studies when wind direction is either unknown or ambiguous, for forcing storm surge, surface wave, and ocean circulation models that require a parametric surface wind vector field, and evaluating surface wind field structure in numerical models of tropical cyclones.
    publisherAmerican Meteorological Society
    titleHurricane Sea Surface Inflow Angle and an Observation-Based Parametric Model
    typeJournal Paper
    journal volume140
    journal issue11
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-11-00339.1
    journal fristpage3587
    journal lastpage3605
    treeMonthly Weather Review:;2012:;volume( 140 ):;issue: 011
    contenttypeFulltext
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