Coupling Coastal and Hydrologic Models through Next Generation National Water Model FrameworkSource: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 002::page 04025001-1Author:Ebrahim Hamidi
,
Hart Henrichsen
,
Abbie Sandquist
,
Hongyuan Zhang
,
Hamed Moftakhari
,
Daniel Ames
,
Shaowu Bao
,
Celso Ferreira
,
Kyle T. Mandli
DOI: 10.1061/JHYEFF.HEENG-6343Publisher: 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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contributor author | Ebrahim Hamidi | |
contributor author | Hart Henrichsen | |
contributor author | Abbie Sandquist | |
contributor author | Hongyuan Zhang | |
contributor author | Hamed Moftakhari | |
contributor author | Daniel Ames | |
contributor author | Shaowu Bao | |
contributor author | Celso Ferreira | |
contributor author | Kyle T. Mandli | |
date accessioned | 2025-04-20T10:13:47Z | |
date available | 2025-04-20T10:13:47Z | |
date copyright | 1/13/2025 12:00:00 AM | |
date issued | 2025 | |
identifier other | JHYEFF.HEENG-6343.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4304264 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Coupling Coastal and Hydrologic Models through Next Generation National Water Model Framework | |
type | Journal Article | |
journal volume | 30 | |
journal issue | 2 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/JHYEFF.HEENG-6343 | |
journal fristpage | 04025001-1 | |
journal lastpage | 04025001-9 | |
page | 9 | |
tree | Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 002 | |
contenttype | Fulltext |