YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of the Atmospheric Sciences
    • View Item
    •   YE&T Library
    • AMS
    • Journal of the Atmospheric Sciences
    • 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

    Effective Ice Particle Densities Derived from Aircraft Data

    Source: Journal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 009::page 982
    Author:
    Heymsfield, Andrew J.
    ,
    Bansemer, Aaron
    ,
    Schmitt, Carl
    ,
    Twohy, Cynthia
    ,
    Poellot, Michael R.
    DOI: 10.1175/1520-0469(2004)061<0982:EIPDDF>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In this study, aircraft data are used to derive effective ice particle densities. This density is defined as the ice particle mass divided by the volume of an equivalent diameter sphere. Measured ice particle size distributions and total ice water contents are used to derive effective ice densities for ice particle populations (?e) as a function of particle size [?e(D)]. The density values are critical for modeling and remote sensing applications. The method uses particle size distributions (PSDs) measured by several particle spectrometers to compute the total particle volume per unit volume of air, assuming that the particles are spheres. Simultaneous direct measurements of ice water content from a counterflow virtual impactor (CVI) yield values for the number of grams of ice per unit volume of air, enabling the overall effective ice density for a population to be calculated. The measured PSD together with the CVI measurements are used to derive mass?dimension relationships. The methods are applied to measurements acquired in two field programs. More than 1200 population densities were derived from the Atmospheric Radiation Measurement (ARM) program and more than 5500 for the Cirrus Regional Study of Tropical Anvils and Cirrus Layers (CRYSTAL) Florida Area Cirrus Experiment (FACE) in southern Florida during July 2002. The population densities are represented in terms of two properties of particle size distributions: the spectral slope and the median mass diameter. The datasets have been divided into populations associated with predominantly synoptically generated ice cloud regions, convectively generated ice cloud regions, regions with moderately to heavily rimed and graupel particles, and those within the melting layer. Average particle density relationships are derived for each regime. Values of ?e are generally higher in synoptically than convectively generated cloud layers, and rimed particles are denser than unrimed ones. Values of ?e also decrease systematically downward within the ice clouds except in the melting layer, where they increase downward.
    • Download: (1.154Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Effective Ice Particle Densities Derived from Aircraft Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4160022
    Collections
    • Journal of the Atmospheric Sciences

    Show full item record

    contributor authorHeymsfield, Andrew J.
    contributor authorBansemer, Aaron
    contributor authorSchmitt, Carl
    contributor authorTwohy, Cynthia
    contributor authorPoellot, Michael R.
    date accessioned2017-06-09T14:38:42Z
    date available2017-06-09T14:38:42Z
    date copyright2004/05/01
    date issued2004
    identifier issn0022-4928
    identifier otherams-23459.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160022
    description abstractIn this study, aircraft data are used to derive effective ice particle densities. This density is defined as the ice particle mass divided by the volume of an equivalent diameter sphere. Measured ice particle size distributions and total ice water contents are used to derive effective ice densities for ice particle populations (?e) as a function of particle size [?e(D)]. The density values are critical for modeling and remote sensing applications. The method uses particle size distributions (PSDs) measured by several particle spectrometers to compute the total particle volume per unit volume of air, assuming that the particles are spheres. Simultaneous direct measurements of ice water content from a counterflow virtual impactor (CVI) yield values for the number of grams of ice per unit volume of air, enabling the overall effective ice density for a population to be calculated. The measured PSD together with the CVI measurements are used to derive mass?dimension relationships. The methods are applied to measurements acquired in two field programs. More than 1200 population densities were derived from the Atmospheric Radiation Measurement (ARM) program and more than 5500 for the Cirrus Regional Study of Tropical Anvils and Cirrus Layers (CRYSTAL) Florida Area Cirrus Experiment (FACE) in southern Florida during July 2002. The population densities are represented in terms of two properties of particle size distributions: the spectral slope and the median mass diameter. The datasets have been divided into populations associated with predominantly synoptically generated ice cloud regions, convectively generated ice cloud regions, regions with moderately to heavily rimed and graupel particles, and those within the melting layer. Average particle density relationships are derived for each regime. Values of ?e are generally higher in synoptically than convectively generated cloud layers, and rimed particles are denser than unrimed ones. Values of ?e also decrease systematically downward within the ice clouds except in the melting layer, where they increase downward.
    publisherAmerican Meteorological Society
    titleEffective Ice Particle Densities Derived from Aircraft Data
    typeJournal Paper
    journal volume61
    journal issue9
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(2004)061<0982:EIPDDF>2.0.CO;2
    journal fristpage982
    journal lastpage1003
    treeJournal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 009
    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