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    Determining the Best Method for Estimating the Observed Level of Maximum Detrainment Based on Radar Reflectivity

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 008::page 2915
    Author:
    Carletta, Nicholas D.
    ,
    Mullendore, Gretchen L.
    ,
    Starzec, Mariusz
    ,
    Xi, Baike
    ,
    Feng, Zhe
    ,
    Dong, Xiquan
    DOI: 10.1175/MWR-D-15-0427.1
    Publisher: American Meteorological Society
    Abstract: onvective mass transport is the transport of mass from near the surface up to the upper troposphere and lower stratosphere (UTLS) by a deep convective updraft. This transport can alter the chemical makeup and water vapor balance of the UTLS, which affects cloud formation and the radiative properties of the atmosphere. It is, therefore, important to understand the exact altitudes at which mass is detrained from convection. The purpose of this study was to improve upon previously published methodologies for estimating the level of maximum detrainment (LMD) within convection using data from a single ground-based radar. Four methods were used to identify the LMD and validated against dual-Doppler-derived vertical mass divergence fields for six cases with a variety of storm types. The best method for locating the LMD was determined to be the method that used a reflectivity texture technique to determine convective cores and a multilayer echo identification to determine anvil locations. Although an improvement over previously published methods, the new methodology still produced unreliable results in certain regimes. The methodology worked best when applied to mature updrafts, as the anvil needs time to grow to a detectable size. Thus, radar reflectivity is found to be valuable in estimating the LMD, but storm maturity must also be considered for best results.
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      Determining the Best Method for Estimating the Observed Level of Maximum Detrainment Based on Radar Reflectivity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4230884
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    • Monthly Weather Review

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    contributor authorCarletta, Nicholas D.
    contributor authorMullendore, Gretchen L.
    contributor authorStarzec, Mariusz
    contributor authorXi, Baike
    contributor authorFeng, Zhe
    contributor authorDong, Xiquan
    date accessioned2017-06-09T17:33:42Z
    date available2017-06-09T17:33:42Z
    date copyright2016/08/01
    date issued2016
    identifier issn0027-0644
    identifier otherams-87237.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230884
    description abstractonvective mass transport is the transport of mass from near the surface up to the upper troposphere and lower stratosphere (UTLS) by a deep convective updraft. This transport can alter the chemical makeup and water vapor balance of the UTLS, which affects cloud formation and the radiative properties of the atmosphere. It is, therefore, important to understand the exact altitudes at which mass is detrained from convection. The purpose of this study was to improve upon previously published methodologies for estimating the level of maximum detrainment (LMD) within convection using data from a single ground-based radar. Four methods were used to identify the LMD and validated against dual-Doppler-derived vertical mass divergence fields for six cases with a variety of storm types. The best method for locating the LMD was determined to be the method that used a reflectivity texture technique to determine convective cores and a multilayer echo identification to determine anvil locations. Although an improvement over previously published methods, the new methodology still produced unreliable results in certain regimes. The methodology worked best when applied to mature updrafts, as the anvil needs time to grow to a detectable size. Thus, radar reflectivity is found to be valuable in estimating the LMD, but storm maturity must also be considered for best results.
    publisherAmerican Meteorological Society
    titleDetermining the Best Method for Estimating the Observed Level of Maximum Detrainment Based on Radar Reflectivity
    typeJournal Paper
    journal volume144
    journal issue8
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-15-0427.1
    journal fristpage2915
    journal lastpage2926
    treeMonthly Weather Review:;2016:;volume( 144 ):;issue: 008
    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
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