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    Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements

    Source: Journal of Applied Meteorology:;2005:;volume( 044 ):;issue: 009::page 1391
    Author:
    Heymsfield, Andrew J.
    ,
    Wang, Zhien
    ,
    Matrosov, Sergey
    DOI: 10.1175/JAM2282.1
    Publisher: American Meteorological Society
    Abstract: Airborne radar reflectivity measurements at frequencies of 9.6 and 94 GHz, with collocated, in situ particle size distribution and ice water content measurements from the Cirrus Regional Study of Tropical Anvils and Cirrus Layers (CRYSTAL) Florida Area Cirrus Experiment (FACE) in Florida in July 2002, offer one of the first opportunities to evaluate and improve algorithms for retrieving ice water content from single-wavelength spaceborne radar measurements. Both ice water content and radar reflectivity depend on the distribution of particle mass with size. It is demonstrated that single, power-law, mass dimensional relationships are unable to adequately account for the dominating contribution of small particles at lower reflectivities and large particles at higher reflectivities. To circumvent the need for multiple, or complex, mass dimensional relationships, analytic expressions that use particle ensemble mean ice particle densities that are derived from the coincident microphysical and radar observations are developed. These expressions, together with more than 5000 CRYSTAL FACE size distributions, are used to develop radar reflectivity?ice water content relationships for the two radar wavelengths that appear to provide improvements over earlier relationships, at least for convectively generated stratiform ice clouds.
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      Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216417
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    • Journal of Applied Meteorology

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    contributor authorHeymsfield, Andrew J.
    contributor authorWang, Zhien
    contributor authorMatrosov, Sergey
    date accessioned2017-06-09T16:47:37Z
    date available2017-06-09T16:47:37Z
    date copyright2005/09/01
    date issued2005
    identifier issn0894-8763
    identifier otherams-74216.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216417
    description abstractAirborne radar reflectivity measurements at frequencies of 9.6 and 94 GHz, with collocated, in situ particle size distribution and ice water content measurements from the Cirrus Regional Study of Tropical Anvils and Cirrus Layers (CRYSTAL) Florida Area Cirrus Experiment (FACE) in Florida in July 2002, offer one of the first opportunities to evaluate and improve algorithms for retrieving ice water content from single-wavelength spaceborne radar measurements. Both ice water content and radar reflectivity depend on the distribution of particle mass with size. It is demonstrated that single, power-law, mass dimensional relationships are unable to adequately account for the dominating contribution of small particles at lower reflectivities and large particles at higher reflectivities. To circumvent the need for multiple, or complex, mass dimensional relationships, analytic expressions that use particle ensemble mean ice particle densities that are derived from the coincident microphysical and radar observations are developed. These expressions, together with more than 5000 CRYSTAL FACE size distributions, are used to develop radar reflectivity?ice water content relationships for the two radar wavelengths that appear to provide improvements over earlier relationships, at least for convectively generated stratiform ice clouds.
    publisherAmerican Meteorological Society
    titleImproved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements
    typeJournal Paper
    journal volume44
    journal issue9
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/JAM2282.1
    journal fristpage1391
    journal lastpage1412
    treeJournal of Applied Meteorology:;2005:;volume( 044 ):;issue: 009
    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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