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DOI | 10.1029/2019JC015793 |
Simulation and Prediction of Storm Surges and Waves Using a Fully Integrated Process Model and a Parametric Cyclonic Wind Model | |
Ding Y.; Ding T.; Rusdin A.; Zhang Y.; Jia Y. | |
发表日期 | 2020 |
ISSN | 21699275 |
卷号 | 125期号:7 |
英文摘要 | This paper presents a fully integrated coastal process model and a simple parametric cyclonic wind-pressure model for simulation of wind, storm surges, waves, tidal currents, and river flows. By sharing one computational grid within all those process modules and no need for switching executable codes from one module to another, this full-coupling feature eliminates possible errors and loss of information due to interpolation and extrapolation of variables between different grids. To generate better cyclonic wind speed and barometric pressure, this parametric wind model includes nonlinear decay effect on wind intensity after hurricane's landfall. By implementing a new wind energy source term, the wave action model is capable of computing wave growth, propagation, and deformation through a regional-scale domain from deepwater to shallow waters. Model validation and model skill assessment were performed by hindcasting wind, storm surges, waves, and river flows during Hurricane Gustav (2008) by using a high-resolution grid covering the northern Gulf Coast. With improved wind fields estimated by the new parametric wind model, this fully integrated process model produced high-quality wavefields in deep and shallow waters and storm tidal levels in the northern Gulf Coasts. Because of computing efficiency provided by seamless integration of process modules and optimized numerical solution schemes, faster-than-real-time predictions of storm surges for the advisories during Hurricane Isaac (2012) were achieved by running the validated model in a desktop computer. ©2020. American Geophysical Union. All Rights Reserved. |
英文关键词 | coastal flooding; hurricane wind model; storm surge prediction; wave processes |
语种 | 英语 |
来源期刊 | Journal of Geophysical Research: Oceans
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/186773 |
作者单位 | National Center for Computational Hydroscience and Engineering, University of Mississippi, Oxford, MS, United States; Now at U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States; Now at Department of Computer Science, Stanford University, Stanford, CA, United States; Now at Department of Civil Engineering, Faculty of Engineering, Tadulako University, Palu, Indonesia |
推荐引用方式 GB/T 7714 | Ding Y.,Ding T.,Rusdin A.,et al. Simulation and Prediction of Storm Surges and Waves Using a Fully Integrated Process Model and a Parametric Cyclonic Wind Model[J],2020,125(7). |
APA | Ding Y.,Ding T.,Rusdin A.,Zhang Y.,&Jia Y..(2020).Simulation and Prediction of Storm Surges and Waves Using a Fully Integrated Process Model and a Parametric Cyclonic Wind Model.Journal of Geophysical Research: Oceans,125(7). |
MLA | Ding Y.,et al."Simulation and Prediction of Storm Surges and Waves Using a Fully Integrated Process Model and a Parametric Cyclonic Wind Model".Journal of Geophysical Research: Oceans 125.7(2020). |
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