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    Applications of a Velocity Dealiasing Scheme to Data from the China New Generation Weather Radar System (CINRAD)

    Source: Weather and Forecasting:;2011:;volume( 027 ):;issue: 001::page 218
    Author:
    He, Guangxin
    ,
    Li, Gang
    ,
    Zou, Xiaolei
    ,
    Ray, Peter Sawin
    DOI: 10.1175/WAF-D-11-00054.1
    Publisher: American Meteorological Society
    Abstract: n improved velocity dealiasing algorithm is developed as an extension of the Next Generation Weather Radar (NEXRAD) dealiasing algorithm. The algorithm described in this paper is evaluated on selected China Next Generation Weather Radar (CINRAD) S-band radar radial velocity observations. This algorithm includes four modules for removing weak signals and determining the starting radial as a prelude to identifying and correcting aliased velocities. The proposed dealiasing algorithm was tested on 14 different weather systems, composed of typhoons, squall lines, and heavy rains. The results show that the algorithm is robust and stable for dealiasing S-band CINRAD radial velocity measurements. The performance levels for the typhoon and heavy rain cases are slightly better than for squall-line cases.
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      Applications of a Velocity Dealiasing Scheme to Data from the China New Generation Weather Radar System (CINRAD)

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4231473
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    contributor authorHe, Guangxin
    contributor authorLi, Gang
    contributor authorZou, Xiaolei
    contributor authorRay, Peter Sawin
    date accessioned2017-06-09T17:35:37Z
    date available2017-06-09T17:35:37Z
    date copyright2012/02/01
    date issued2011
    identifier issn0882-8156
    identifier otherams-87768.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231473
    description abstractn improved velocity dealiasing algorithm is developed as an extension of the Next Generation Weather Radar (NEXRAD) dealiasing algorithm. The algorithm described in this paper is evaluated on selected China Next Generation Weather Radar (CINRAD) S-band radar radial velocity observations. This algorithm includes four modules for removing weak signals and determining the starting radial as a prelude to identifying and correcting aliased velocities. The proposed dealiasing algorithm was tested on 14 different weather systems, composed of typhoons, squall lines, and heavy rains. The results show that the algorithm is robust and stable for dealiasing S-band CINRAD radial velocity measurements. The performance levels for the typhoon and heavy rain cases are slightly better than for squall-line cases.
    publisherAmerican Meteorological Society
    titleApplications of a Velocity Dealiasing Scheme to Data from the China New Generation Weather Radar System (CINRAD)
    typeJournal Paper
    journal volume27
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-11-00054.1
    journal fristpage218
    journal lastpage230
    treeWeather and Forecasting:;2011:;volume( 027 ):;issue: 001
    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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