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    MEASUREMENT OF SNOW PARAMETERS BY RADAR

    Source: Journal of Meteorology:;1952:;volume( 009 ):;issue: 005::page 322
    Author:
    Marshall, J. S.
    ,
    Gunn, K. L. S.
    DOI: 10.1175/1520-0469(1952)009<0322:MOSPBR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: According to Rayleigh scattering theory for small spheres, back scattering is proportional to |K2Z where K is the dielectric factor and Z is the sum of the sixth powers of the diameter D. For small non-spherical particles of uncertain density, a similar quantity can be used: |K12ZS, where K1 is the dielectric factor for the material when reduced to unit density, and Z = ?D16, where D1 is the diameter of the particle when reduced to a sphere of unit density; S is a shape factor which for snow remains between 1 and 1.5. An analysis of Langille and Thain's (1951) radar observations on snow shows fairly good correlation between Z and the snowfall R, particularly when considered one day at a time. An overall Z = Z(R) relation for snow for all days of Langille's observations is found to agree with that previously established for rain (Marshall, Langille and Palmer, 1947). That is, equal precipitation rates R, whether rain or snow, give equal values of Z. The transition at the melting level in the case of ?continuous? rain is considered in the light of this finding. Rapid aggregation amongst the raindrops and wet snowflakes in the melting region could account for the necessary differences in size distribution between snow and rain of the same precipitation rate. Marshall and Palmer (1949) have suggested that all size distributions for precipitation are exponential when plotted as number against diameter. Taking as a fair approximation for rain that the distribution curves belong to a single family, one may establish the particular distribution by a measurement of R. When this approximation is less valid, as it appears to be for snow, one may still establish the particular exponential distribution by measuring Z and R simultaneously.
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      MEASUREMENT OF SNOW PARAMETERS BY RADAR

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4149429
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    contributor authorMarshall, J. S.
    contributor authorGunn, K. L. S.
    date accessioned2017-06-09T14:10:36Z
    date available2017-06-09T14:10:36Z
    date copyright1952/10/01
    date issued1952
    identifier issn0095-9634
    identifier otherams-13925.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4149429
    description abstractAccording to Rayleigh scattering theory for small spheres, back scattering is proportional to |K2Z where K is the dielectric factor and Z is the sum of the sixth powers of the diameter D. For small non-spherical particles of uncertain density, a similar quantity can be used: |K12ZS, where K1 is the dielectric factor for the material when reduced to unit density, and Z = ?D16, where D1 is the diameter of the particle when reduced to a sphere of unit density; S is a shape factor which for snow remains between 1 and 1.5. An analysis of Langille and Thain's (1951) radar observations on snow shows fairly good correlation between Z and the snowfall R, particularly when considered one day at a time. An overall Z = Z(R) relation for snow for all days of Langille's observations is found to agree with that previously established for rain (Marshall, Langille and Palmer, 1947). That is, equal precipitation rates R, whether rain or snow, give equal values of Z. The transition at the melting level in the case of ?continuous? rain is considered in the light of this finding. Rapid aggregation amongst the raindrops and wet snowflakes in the melting region could account for the necessary differences in size distribution between snow and rain of the same precipitation rate. Marshall and Palmer (1949) have suggested that all size distributions for precipitation are exponential when plotted as number against diameter. Taking as a fair approximation for rain that the distribution curves belong to a single family, one may establish the particular distribution by a measurement of R. When this approximation is less valid, as it appears to be for snow, one may still establish the particular exponential distribution by measuring Z and R simultaneously.
    publisherAmerican Meteorological Society
    titleMEASUREMENT OF SNOW PARAMETERS BY RADAR
    typeJournal Paper
    journal volume9
    journal issue5
    journal titleJournal of Meteorology
    identifier doi10.1175/1520-0469(1952)009<0322:MOSPBR>2.0.CO;2
    journal fristpage322
    journal lastpage327
    treeJournal of Meteorology:;1952:;volume( 009 ):;issue: 005
    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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