YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • 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

    Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 003::page 467
    Author:
    Schinagl, Katharina
    ,
    Friederichs, Petra
    ,
    Trömel, Silke
    ,
    Simmer, Clemens
    DOI: 10.1175/JAMC-D-18-0178.1
    Publisher: American Meteorological Society
    Abstract: A suitable formulation of the rain drop size distribution (DSD) is a prerequisite for a successful assimilation of radar polarimetric information on rain into a numerical weather prediction model. Popular DSD parameterizations in two-moment bulk microphysics schemes use relations between the so-called mean-mass diameter and the DSD shape parameter ?, in order to prevent overly strong size sorting in the models. In radar polarimetry constrained-gamma DSDs with empirical relations between the shape and scale parameter are commonly used. This study compares the different DSD formulations and highlights the differences. Synthetic polarimetric radar observations for X band (9.39 GHz) and S band (3 GHz) were calculated from the different DSDs using the T-matrix method. Depending on the constraint that is assumed for the DSDs, the polarimetric moments exhibit quite different dependencies on the mean diameter, which are particularly striking for differential reflectivity ZDR. To successfully assimilate observed polarimetric moments into atmospheric models, formulations?possibly more flexible than those investigated in this study?have to be found that sufficiently represent microphysical processes and at the same time are consistent with empirical relations derived from disdrometer and radar polarimetric measurements.
    • Download: (1.622Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4262581
    Collections
    • Journal of Applied Meteorology and Climatology

    Show full item record

    contributor authorSchinagl, Katharina
    contributor authorFriederichs, Petra
    contributor authorTrömel, Silke
    contributor authorSimmer, Clemens
    date accessioned2019-09-22T09:03:24Z
    date available2019-09-22T09:03:24Z
    date copyright1/11/2019 12:00:00 AM
    date issued2019
    identifier otherJAMC-D-18-0178.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262581
    description abstractA suitable formulation of the rain drop size distribution (DSD) is a prerequisite for a successful assimilation of radar polarimetric information on rain into a numerical weather prediction model. Popular DSD parameterizations in two-moment bulk microphysics schemes use relations between the so-called mean-mass diameter and the DSD shape parameter ?, in order to prevent overly strong size sorting in the models. In radar polarimetry constrained-gamma DSDs with empirical relations between the shape and scale parameter are commonly used. This study compares the different DSD formulations and highlights the differences. Synthetic polarimetric radar observations for X band (9.39 GHz) and S band (3 GHz) were calculated from the different DSDs using the T-matrix method. Depending on the constraint that is assumed for the DSDs, the polarimetric moments exhibit quite different dependencies on the mean diameter, which are particularly striking for differential reflectivity ZDR. To successfully assimilate observed polarimetric moments into atmospheric models, formulations?possibly more flexible than those investigated in this study?have to be found that sufficiently represent microphysical processes and at the same time are consistent with empirical relations derived from disdrometer and radar polarimetric measurements.
    publisherAmerican Meteorological Society
    titleGamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments
    typeJournal Paper
    journal volume58
    journal issue3
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-18-0178.1
    journal fristpage467
    journal lastpage478
    treeJournal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 003
    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