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    Coupling Coastal and Hydrologic Models through Next Generation National Water Model Framework

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 002::page 04025001-1
    Author:
    Ebrahim Hamidi
    ,
    Hart Henrichsen
    ,
    Abbie Sandquist
    ,
    Hongyuan Zhang
    ,
    Hamed Moftakhari
    ,
    Daniel Ames
    ,
    Shaowu Bao
    ,
    Celso Ferreira
    ,
    Kyle T. Mandli
    DOI: 10.1061/JHYEFF.HEENG-6343
    Publisher: American Society of Civil Engineers
    Abstract: It is important to understand flooding in highly populated coastal regions, especially as the severity of extreme flood events is projected to increase. The integration of inland and coastal models offers an improved representation of flooding phenomena in coastal regions. The Next Generation Water Resources Modeling (NextGen) is a state-of-the-art computational system designed to enable model interoperability and facilitate the study of water-related problems across various scales. NextGen has the potential to couple hydrologic, hydraulic, and hydrodynamic models. This study develops the first Basic Model Interface (BMI) to couple a coastal model (GeoClaw) with the National Water Model Conceptual Functional Equivalent (CFE) hydrologic model through the NextGen framework to expand the initial capability of the NextGen National Water Model (NWM) for interaction with coastal models. In this study, we successfully demonstrate the coupling process of coastal and hydrologic models for Hurricanes Harvey and Ike in a watershed that discharges into Galveston Bay, Texas, using the NextGen framework. This study lacks time series discharge integration in the coupled model but provides a foundation for future work, paving the way for efficient advancements such as two-way coupling.
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      Coupling Coastal and Hydrologic Models through Next Generation National Water Model Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4304264
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    contributor authorEbrahim Hamidi
    contributor authorHart Henrichsen
    contributor authorAbbie Sandquist
    contributor authorHongyuan Zhang
    contributor authorHamed Moftakhari
    contributor authorDaniel Ames
    contributor authorShaowu Bao
    contributor authorCelso Ferreira
    contributor authorKyle T. Mandli
    date accessioned2025-04-20T10:13:47Z
    date available2025-04-20T10:13:47Z
    date copyright1/13/2025 12:00:00 AM
    date issued2025
    identifier otherJHYEFF.HEENG-6343.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304264
    description abstractIt is important to understand flooding in highly populated coastal regions, especially as the severity of extreme flood events is projected to increase. The integration of inland and coastal models offers an improved representation of flooding phenomena in coastal regions. The Next Generation Water Resources Modeling (NextGen) is a state-of-the-art computational system designed to enable model interoperability and facilitate the study of water-related problems across various scales. NextGen has the potential to couple hydrologic, hydraulic, and hydrodynamic models. This study develops the first Basic Model Interface (BMI) to couple a coastal model (GeoClaw) with the National Water Model Conceptual Functional Equivalent (CFE) hydrologic model through the NextGen framework to expand the initial capability of the NextGen National Water Model (NWM) for interaction with coastal models. In this study, we successfully demonstrate the coupling process of coastal and hydrologic models for Hurricanes Harvey and Ike in a watershed that discharges into Galveston Bay, Texas, using the NextGen framework. This study lacks time series discharge integration in the coupled model but provides a foundation for future work, paving the way for efficient advancements such as two-way coupling.
    publisherAmerican Society of Civil Engineers
    titleCoupling Coastal and Hydrologic Models through Next Generation National Water Model Framework
    typeJournal Article
    journal volume30
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6343
    journal fristpage04025001-1
    journal lastpage04025001-9
    page9
    treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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