YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Sensitivity of the Estimated Monthly Convective Rain Fraction to the Choice of Z–R Relation

    Source: Journal of Applied Meteorology:;1997:;volume( 036 ):;issue: 005::page 452
    Author:
    Steiner, Matthias
    ,
    Houze, Robert A.
    DOI: 10.1175/1520-0450(1997)036<0452:SOTEMC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: This study investigates the sensitivity of the estimated monthly convective rain fraction?that is, the percentage of the areal rain accumulation contributed by precipitation identified as convective?to variations of the Z?R parameters used in radar-based rainfall estimation. Accurate knowledge of the fractions of precipitation that are convective and stratiform is important for climatological studies estimating the heating of the atmosphere. Extensive datasets from two climatologically different precipitation regimes, Darwin, Australia, and Melbourne, Florida, are used. The potential uncertainty of using (i) an arbitrary choice of the power factor b and (ii) either single or multiple Z?R relations (stratified by precipitation type) for converting radar reflectivity to rain rate is investigated quantitatively. The analyses reveal that estimates of the monthly convective rain fraction are sensitive to the choice of Z?R parameters. A maximum sensitivity is found for precipitation regimes with an approximately equal mix of rainfall from convective and stratiform precipitation systems. For example, estimates of the convective rain fraction for monsoonal rainfall at Darwin may range from 30% to 80%, solely depending on the choice of Z?R parameters, even though all of these Z?R relations are tuned to produce the same total rainfall. In contrast, for the highly convective, sea-breeze-triggered, multicellular storms around Melbourne, the estimates of the convective rain fraction may range from 80% to 100%. Different approaches to how the appropriate parameters of the Z?R relation(s) may be obtained are discussed. Varying the Z?R parameters to maximize the correlation of the radar-estimated monthly rainfall at the gauge sites and the rain gauge accumulations does not reveal enough sensitivity to make any choice significantly better than a single Z?R relation for both convective and stratiform rain. Multiple Z?R relations may be justified, but apparently not on the basis of a convective?stratiform separation.
    • Download: (254.6Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Sensitivity of the Estimated Monthly Convective Rain Fraction to the Choice of Z–R Relation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4147822
    Collections
    • Journal of Applied Meteorology

    Show full item record

    contributor authorSteiner, Matthias
    contributor authorHouze, Robert A.
    date accessioned2017-06-09T14:06:15Z
    date available2017-06-09T14:06:15Z
    date copyright1997/05/01
    date issued1997
    identifier issn0894-8763
    identifier otherams-12479.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147822
    description abstractThis study investigates the sensitivity of the estimated monthly convective rain fraction?that is, the percentage of the areal rain accumulation contributed by precipitation identified as convective?to variations of the Z?R parameters used in radar-based rainfall estimation. Accurate knowledge of the fractions of precipitation that are convective and stratiform is important for climatological studies estimating the heating of the atmosphere. Extensive datasets from two climatologically different precipitation regimes, Darwin, Australia, and Melbourne, Florida, are used. The potential uncertainty of using (i) an arbitrary choice of the power factor b and (ii) either single or multiple Z?R relations (stratified by precipitation type) for converting radar reflectivity to rain rate is investigated quantitatively. The analyses reveal that estimates of the monthly convective rain fraction are sensitive to the choice of Z?R parameters. A maximum sensitivity is found for precipitation regimes with an approximately equal mix of rainfall from convective and stratiform precipitation systems. For example, estimates of the convective rain fraction for monsoonal rainfall at Darwin may range from 30% to 80%, solely depending on the choice of Z?R parameters, even though all of these Z?R relations are tuned to produce the same total rainfall. In contrast, for the highly convective, sea-breeze-triggered, multicellular storms around Melbourne, the estimates of the convective rain fraction may range from 80% to 100%. Different approaches to how the appropriate parameters of the Z?R relation(s) may be obtained are discussed. Varying the Z?R parameters to maximize the correlation of the radar-estimated monthly rainfall at the gauge sites and the rain gauge accumulations does not reveal enough sensitivity to make any choice significantly better than a single Z?R relation for both convective and stratiform rain. Multiple Z?R relations may be justified, but apparently not on the basis of a convective?stratiform separation.
    publisherAmerican Meteorological Society
    titleSensitivity of the Estimated Monthly Convective Rain Fraction to the Choice of Z–R Relation
    typeJournal Paper
    journal volume36
    journal issue5
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1997)036<0452:SOTEMC>2.0.CO;2
    journal fristpage452
    journal lastpage462
    treeJournal of Applied Meteorology:;1997:;volume( 036 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian