YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • 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

    Continuous Forecasting and Evaluation of Derived Z-R Relationships in a Sparse Rain Gauge Network Using NEXRAD

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 002
    Author:
    Samuel H. Rendon
    ,
    Baxter E. Vieux
    ,
    Chandra S. Pathak
    DOI: 10.1061/(ASCE)HE.1943-5584.0000579
    Publisher: American Society of Civil Engineers
    Abstract: Distributed rainfall information is necessary for making operational hydrologic predictions and retrospective studies. Rainfall measurements from radar require conversion of reflectivity into rainfall rates, but contain systematic errors (bias). Default
    • Download: (527.3Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Continuous Forecasting and Evaluation of Derived Z-R Relationships in a Sparse Rain Gauge Network Using NEXRAD

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/63470
    Collections
    • Journal of Hydrologic Engineering

    Show full item record

    contributor authorSamuel H. Rendon
    contributor authorBaxter E. Vieux
    contributor authorChandra S. Pathak
    date accessioned2017-05-08T21:49:24Z
    date available2017-05-08T21:49:24Z
    date copyrightFebruary 2013
    date issued2013
    identifier other%28asce%29he%2E1943-5584%2E0000601.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63470
    description abstractDistributed rainfall information is necessary for making operational hydrologic predictions and retrospective studies. Rainfall measurements from radar require conversion of reflectivity into rainfall rates, but contain systematic errors (bias). Default
    publisherAmerican Society of Civil Engineers
    titleContinuous Forecasting and Evaluation of Derived Z-R Relationships in a Sparse Rain Gauge Network Using NEXRAD
    typeJournal Paper
    journal volume18
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000579
    treeJournal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 002
    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