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    Modeling Radar Rainfall Estimation Uncertainties: Random Error Model

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 004
    Author:
    A. AghaKouchak
    ,
    E. Habib
    ,
    A. Bárdossy
    DOI: 10.1061/(ASCE)HE.1943-5584.0000185
    Publisher: American Society of Civil Engineers
    Abstract: Precipitation is a major input in hydrological models. Radar rainfall data compared with rain gauge measurements provide higher spatial and temporal resolutions. However, radar data obtained form reflectivity patterns are subject to various errors such as errors in reflectivity-rainfall
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      Modeling Radar Rainfall Estimation Uncertainties: Random Error Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/63054
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    contributor authorA. AghaKouchak
    contributor authorE. Habib
    contributor authorA. Bárdossy
    date accessioned2017-05-08T21:48:41Z
    date available2017-05-08T21:48:41Z
    date copyrightApril 2010
    date issued2010
    identifier other%28asce%29he%2E1943-5584%2E0000205.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63054
    description abstractPrecipitation is a major input in hydrological models. Radar rainfall data compared with rain gauge measurements provide higher spatial and temporal resolutions. However, radar data obtained form reflectivity patterns are subject to various errors such as errors in reflectivity-rainfall
    publisherAmerican Society of Civil Engineers
    titleModeling Radar Rainfall Estimation Uncertainties: Random Error Model
    typeJournal Paper
    journal volume15
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000185
    treeJournal of Hydrologic Engineering:;2010:;Volume ( 015 ):;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
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