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    Should Interpolation of Radar Reflectivity be Performed in Z or dBZ?

    Source: Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 006::page 1143
    Author:
    Warren, Robert A.
    ,
    Protat, Alain
    DOI: 10.1175/JTECH-D-18-0183.1
    Publisher: American Meteorological Society
    Abstract: AbstractInterpolation of ground-based radar measurements is required when mapping data from their native spherical coordinates to a Cartesian grid. For reflectivity the question arises as to whether this processing should be performed in units of Z (mm6 m?3) or dBZ. This study addresses this question using one year of data from three radars, operating in diverse climates across Australia. For each radar, a subset of 800 volume scans is processed to identify ?triads??groups of three consecutive gates with valid data?in each of the three coordinate directions: range, azimuth, and elevation. For every triad, the reflectivity at the central gate is estimated by linearly interpolating between the outer two gates in both Z and dBZ. The resulting values are then compared with the true reflectivity at the central gate to quantify the interpolation errors. For all three sites and in all three coordinate directions, we find that interpolation in Z is more accurate on average, especially in regions of high reflectivity and strong reflectivity gradient (i.e., convective cores). However, interpolation in dBZ is better in regions of low and monotonically increasing/decreasing reflectivity. It is therefore recommended that reflectivities be converted from dBZ to Z prior to interpolation except when identifying echo-top height or other low-reflectivity boundaries.
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      Should Interpolation of Radar Reflectivity be Performed in Z or dBZ?

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    contributor authorWarren, Robert A.
    contributor authorProtat, Alain
    date accessioned2019-10-05T06:46:38Z
    date available2019-10-05T06:46:38Z
    date copyright5/3/2019 12:00:00 AM
    date issued2019
    identifier otherJTECH-D-18-0183.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263384
    description abstractAbstractInterpolation of ground-based radar measurements is required when mapping data from their native spherical coordinates to a Cartesian grid. For reflectivity the question arises as to whether this processing should be performed in units of Z (mm6 m?3) or dBZ. This study addresses this question using one year of data from three radars, operating in diverse climates across Australia. For each radar, a subset of 800 volume scans is processed to identify ?triads??groups of three consecutive gates with valid data?in each of the three coordinate directions: range, azimuth, and elevation. For every triad, the reflectivity at the central gate is estimated by linearly interpolating between the outer two gates in both Z and dBZ. The resulting values are then compared with the true reflectivity at the central gate to quantify the interpolation errors. For all three sites and in all three coordinate directions, we find that interpolation in Z is more accurate on average, especially in regions of high reflectivity and strong reflectivity gradient (i.e., convective cores). However, interpolation in dBZ is better in regions of low and monotonically increasing/decreasing reflectivity. It is therefore recommended that reflectivities be converted from dBZ to Z prior to interpolation except when identifying echo-top height or other low-reflectivity boundaries.
    publisherAmerican Meteorological Society
    titleShould Interpolation of Radar Reflectivity be Performed in Z or dBZ?
    typeJournal Paper
    journal volume36
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-18-0183.1
    journal fristpage1143
    journal lastpage1156
    treeJournal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 006
    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