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Model parameter input files to compare wave-averaged versus wave-resolving XBeach coastal flooding models for coral reef-lined coasts

Metadata Updated: October 28, 2023

This data release includes the XBeach input data files used to evaluate the importance of explicitly modeling sea-swell waves for runup. This was examined using a 2D XBeach short wave-averaged (surfbeat, XB-SB) and a wave-resolving (non-hydrostatic, XB-NH) model of Roi-Namur Island on Kwajalein Atoll in the Republic of Marshall Islands. Results show that explicitly modelling the sea-swell component (using XB-NH) provides a better approximation of the observed runup than XB-SB (which only models the time-variation of the sea-swell wave height), despite good model performance of both models on reef flat water levels and wave heights. However, both models under-predict runup peaks. The difference between XB-SB and XB-NH increases for more extreme wave events and higher sea levels, as XB-NH resolves individual waves and therefore captures SS-wave motions in runup. However, for even larger forcing conditions with offshore wave heights of 6 m, the island is flooded in both XB-SB and XB-NH computations, regardless of the sea-swell wave energy contribution. In such cases, XB-SB would be adequate to model flooding depths and extents on the island while requiring 4-5 times less computational effort. These input files accompany the modeling for following publication: Quataert, E., Storlazzi, C., van Dongeren, A., and McCall, R., 2020, The importance of explicitly modeling sea-swell waves for runup on reef-lined coasts: Coastal Engineering, https://doi.org/10.1016/j.coastaleng.2020.103704

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e4a895581e0f290ce3b3acdc20ad96d5
Identifier USGS:5e59692ee4b01d50924c5370
Data Last Modified 20211013
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id bb1efb63-6a04-4731-b3f1-434dd9650547
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial 167.461,9.388,167.49,9.406
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 2724bb7a9a5380944faf760e4a80bdb8b9ff6685c2f9e41b7d80041600cf4dcb
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": 167.461, 9.388, 167.461, 9.406, 167.49, 9.406, 167.49, 9.388, 167.461, 9.388}

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