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    On Use of the Standard Deviation of the Mass Distribution as a Parameter in Raindrop Size Distribution Functions

    Source: Journal of Applied Meteorology and Climatology:;2018:;volume 058:;issue 004::page 787
    Author:
    Smith, Paul L.
    ,
    Johnson, Roger W.
    ,
    Kliche, Donna V.
    DOI: 10.1175/JAMC-D-18-0086.1
    Publisher: American Meteorological Society
    Abstract: AbstractUse of the standard deviation σm of the drop mass distribution as one of the three parameters of raindrop size distribution (DSD) functions was introduced for application to disdrometer data supporting the Global Precipitation Measurement dual-frequency radar system. The other two parameters are a normalized drop number concentration Nw and the mass-weighted mean diameter Dm. This paper presents an evaluation of that formulation of the DSD functions, in two parts. First is a mathematical analysis showing that the procedure for estimating σm, along with the other DSD parameters, from disdrometer data is in essence another moment method. As such, it is subject to the biases and errors inherent in all moment methods. When the form of the DSD function is specified, it is inferior (like all moment methods) to the maximum likelihood technique for fitting parameters to sampled data. The second part is a series of sampling simulations illustrating the biases and errors involved in applying the formulation to the specific case of gamma DSDs. It leads to underestimates of σm and consequently to overestimates of the gamma shape parameter?with large root-mean-square errors. Comparison with maximum likelihood estimates shows the degree of improvement that could be obtained in the estimates of the shape parameter. The propensity to underestimate σm will be pervasive, and users of this DSD formulation should be cognizant of the biases and errors that can occur.
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      On Use of the Standard Deviation of the Mass Distribution as a Parameter in Raindrop Size Distribution Functions

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    contributor authorSmith, Paul L.
    contributor authorJohnson, Roger W.
    contributor authorKliche, Donna V.
    date accessioned2019-10-05T06:49:02Z
    date available2019-10-05T06:49:02Z
    date copyright10/22/2018 12:00:00 AM
    date issued2018
    identifier otherJAMC-D-18-0086.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263508
    description abstractAbstractUse of the standard deviation σm of the drop mass distribution as one of the three parameters of raindrop size distribution (DSD) functions was introduced for application to disdrometer data supporting the Global Precipitation Measurement dual-frequency radar system. The other two parameters are a normalized drop number concentration Nw and the mass-weighted mean diameter Dm. This paper presents an evaluation of that formulation of the DSD functions, in two parts. First is a mathematical analysis showing that the procedure for estimating σm, along with the other DSD parameters, from disdrometer data is in essence another moment method. As such, it is subject to the biases and errors inherent in all moment methods. When the form of the DSD function is specified, it is inferior (like all moment methods) to the maximum likelihood technique for fitting parameters to sampled data. The second part is a series of sampling simulations illustrating the biases and errors involved in applying the formulation to the specific case of gamma DSDs. It leads to underestimates of σm and consequently to overestimates of the gamma shape parameter?with large root-mean-square errors. Comparison with maximum likelihood estimates shows the degree of improvement that could be obtained in the estimates of the shape parameter. The propensity to underestimate σm will be pervasive, and users of this DSD formulation should be cognizant of the biases and errors that can occur.
    publisherAmerican Meteorological Society
    titleOn Use of the Standard Deviation of the Mass Distribution as a Parameter in Raindrop Size Distribution Functions
    typeJournal Paper
    journal volume58
    journal issue4
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-18-0086.1
    journal fristpage787
    journal lastpage796
    treeJournal of Applied Meteorology and Climatology:;2018:;volume 058:;issue 004
    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