YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • 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.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-4 of 4

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Improving Precipitation Forecasts with Convolutional Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002
    Author(s): Badrinath, Anirudhan; Delle Monache, Luca; Hayatbini, Negin; Chapman, Will; Cannon, Forest; Ralph, Marty
    Publisher: American Meteorological Society
    Request PDF

    Improving Precipitation Forecasts with Convolutional Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002:;page 291
    Author(s): Badrinath, Anirudhan; Delle Monache, Luca; Hayatbini, Negin; Chapman, Will; Cannon, Forest; Ralph, Marty
    Publisher: American Meteorological Society
    Request PDF

    Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS 

    Source: Journal of Hydrometeorology:;2019:;volume 020:;issue 005:;page 901
    Author(s): Hayatbini, Negin; Hsu, Kuo-lin; Sorooshian, Soroosh; Zhang, Yunji; Zhang, Fuqing
    Publisher: American Meteorological Society
    Abstract: AbstractThe effective identification of clouds and monitoring of their evolution are important toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based cloud-image ...
    Request PDF

    Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 001:;page 215
    Author(s): Chapman, William E.;Delle Monache, Luca;Alessandrini, Stefano;Subramanian, Aneesh C.;Ralph, F. Martin;Xie, Shang-Ping;Lerch, Sebastian;Hayatbini, Negin
    Publisher: American Meteorological Society
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    ... View More

    Publisher

    Year

    Type

    Language (ISO)

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian