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    Remote Sensing of Tropical Cyclones: Observations from CloudSat and A-Train Profilers

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 004::page 609
    Author:
    Tourville, Natalie
    ,
    Stephens, Graeme
    ,
    DeMaria, Mark
    ,
    Vane, Deborah
    DOI: 10.1175/BAMS-D-13-00282.1
    Publisher: American Meteorological Society
    Abstract: (CS) heralded a new era of profiling the planet?s cloud systems and storms with its launch in 2006. This satellite flies the first 94-GHz spaceborne Cloud Profiling Radar, and the data collected have provided a unique perspective on Earth?s cloudiness and processes that affect clouds. CS flies in formation with the afternoon satellite constellation, a collection of active and passive satellite sensors offering near-simultaneous observations of the same cloud phenomena. While passes of the nadir-pointing Cloud Profiling Radar (CPR) antenna occur infrequently over tropical cyclones, they happen enough to provide a detailed compilation of the inner structure of clouds and precipitation of these complex storm systems. Nearly 8,000 vertical profiles of TCs have been collected during the period June 2006?December 2013 and observations continue as CS flies in daylight-only mode. These observations have been assembled into a one-of-a-kind dataset of three-dimensional features revealing precipitation areas, moats, and multilayered clouds. Each unique overpass profiled by CS has been compiled with corresponding A-Train sensors, model data, and storm-specific best-track information. The multisensor components of the CS and A-Train TC dataset together with these other data are summarized and cataloged as a function of radial distance from storm center. Example imagery is provided along with stratified reflectivity profiles detailing changes in storm structures across varying environmental shear conditions. The data reported on in this paper offer an unprecedented view of these major storm types and their inner structure.
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      Remote Sensing of Tropical Cyclones: Observations from CloudSat and A-Train Profilers

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215648
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    contributor authorTourville, Natalie
    contributor authorStephens, Graeme
    contributor authorDeMaria, Mark
    contributor authorVane, Deborah
    date accessioned2017-06-09T16:45:19Z
    date available2017-06-09T16:45:19Z
    date copyright2015/04/01
    date issued2014
    identifier issn0003-0007
    identifier otherams-73524.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215648
    description abstract(CS) heralded a new era of profiling the planet?s cloud systems and storms with its launch in 2006. This satellite flies the first 94-GHz spaceborne Cloud Profiling Radar, and the data collected have provided a unique perspective on Earth?s cloudiness and processes that affect clouds. CS flies in formation with the afternoon satellite constellation, a collection of active and passive satellite sensors offering near-simultaneous observations of the same cloud phenomena. While passes of the nadir-pointing Cloud Profiling Radar (CPR) antenna occur infrequently over tropical cyclones, they happen enough to provide a detailed compilation of the inner structure of clouds and precipitation of these complex storm systems. Nearly 8,000 vertical profiles of TCs have been collected during the period June 2006?December 2013 and observations continue as CS flies in daylight-only mode. These observations have been assembled into a one-of-a-kind dataset of three-dimensional features revealing precipitation areas, moats, and multilayered clouds. Each unique overpass profiled by CS has been compiled with corresponding A-Train sensors, model data, and storm-specific best-track information. The multisensor components of the CS and A-Train TC dataset together with these other data are summarized and cataloged as a function of radial distance from storm center. Example imagery is provided along with stratified reflectivity profiles detailing changes in storm structures across varying environmental shear conditions. The data reported on in this paper offer an unprecedented view of these major storm types and their inner structure.
    publisherAmerican Meteorological Society
    titleRemote Sensing of Tropical Cyclones: Observations from CloudSat and A-Train Profilers
    typeJournal Paper
    journal volume96
    journal issue4
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-13-00282.1
    journal fristpage609
    journal lastpage622
    treeBulletin of the American Meteorological Society:;2014:;volume( 096 ):;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