Unstructured Finite Element Mesh Decimation For Real-Time Hurricane Storm Surge Forecasting

Bilskie, Matthew V.; Hagen, Scott C.; Medeiros, Stephen C.

doi:10.1016/j.coastaleng.2019.103622

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Unstructured Finite Element Mesh Decimation For Real-Time Hurricane Storm Surge Forecasting

2020
By Bilskie, Matthew V. ; Hagen, Scott C. ; Medeiros, Stephen C.
Source: Coastal Engineering, 156: 103622

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Journal Title:

Coastal Engineering
Personal Author:

Bilskie, Matthew V. ; Hagen, Scott C. ; Medeiros, Stephen C.

Bilskie, Matthew V. ; Hagen, Scott C. ; Medeiros, Stephen C. Less -
NOAA Program & Office:

Sea Grant ; OAR (Oceanic and Atmospheric Research) ; NOS (Naitonal Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science)

Sea Grant ; OAR (Oceanic and Atmospheric Research) ; NOS (Naitonal Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science) Less -
Sea Grant Program:

LSU (Louisiana Sea Grant)
Description:

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.
Keywords:

[+]

Coasts Flooding Sea-walls Storm Surges Ecological Effects of Sea Level Rise Program (EESLR)
Source:

Coastal Engineering, 156: 103622
DOI:

https://doi.org/10.1016/j.coastaleng.2019.103622
Document Type:

Journal Article
Funding:

Grant no. NA10NOS4780146 ; Grant no. NA16NOS4780208

Grant no. NA10NOS4780146 ; Grant no. NA16NOS4780208 Less -
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Accepted Manuscript
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Submitted
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urn:sha-512:45dbcaaab0003ed7ace018c10f51f509727690a6ecb7131c3b7cb0f267c81033363a522a567c7df70c89e790a34ccc0190bfb269960e9542f0b602e0f25715f1
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Unstructured Finite Element Mesh Decimation For Real-Time Hurricane Storm Surge Forecasting

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