Unstructured finite element mesh decimation for real-time Hurricane storm surge forecasting

被引：31

作者：

Bilskie, Matthew, V ^{[1
]}

Hagen, Scott C. ^{[1
,2
,3
]}

Medeiros, Stephen C. ^{[4
]}

机构：

[1] Louisiana State Univ, Ctr Coastal Resiliency, 124B Sea Grant Hall, Baton Rouge, LA 70803 USA

[2] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA USA

[3] Louisiana State Univ, Ctr Computat & Technol, Baton Rouge, LA USA

[4] Embry Riddle Aeronaut Univ, Dept Civil Engn, 1 Aerosp Blvd, Daytona Beach, FL 32114 USA

来源：

COASTAL ENGINEERING | 2020年 / 156卷

基金：

美国国家科学基金会; 美国海洋和大气管理局;

关键词：

Storm surge; Unstructured mesh; Mesh decimation; Coastal flooding; 3RD-GENERATION WAVE MODEL; SEA-LEVEL RISE; SHALLOW-WATER; TRUNCATION ERROR; COASTAL REGIONS; GENERATION; TIDES; SWAN; BATHYMETRY; SCALE;

D O I：

10.1016/j.coastaleng.2019.103622

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A previously developed research-grade (e.g. high-resolution) unstructured mesh of the northern Gulf of Mexico (named NGOM3) is optimized to produce a computationally efficient forecast-grade mesh for deployment in a real-time hurricane storm surge early warning system. The real-time mesh is developed from a mesh decimation scheme with focus on the coastal floodplain. The mesh decimation scheme reduces mesh nodes and elements from the research-grade mesh while preserving the representation of the bare-earth topography. The resulting real-time unstructured mesh (named NGOM-RT) contains 64% less mesh nodes than the research-grade mesh. Comparison of (ADCIRC + SWAN) simulated times-series and peak water levels to observations between the research-grade and real-time-grade meshes for Hurricanes Ivan (2004), Dennis (2005), Katrina (2005), and Isaac (2012) show virtually no difference. Model simulations with the NGOM-RT mesh are 1.5-2.0 times faster than using NGOM3 on the same number of compute cores.

引用

页数：14

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