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Idealized Antecedent Topography Sensitivity Study: Initial Baseline and Modified Profiles Modeled with XBeach

Metadata Updated: October 29, 2023

Antecedent topography is an important aspect of coastal morphology when studying and forecasting coastal change hazards. The uncertainty in morphologic response of storm-impact models and their use in short-term hazard forecasting and decadal forecasting is important to account for when considering a coupled model framework. Mickey and others (2020) provided a methodology to investigate uncertainty of profile response within the storm impact model, XBeach, related to varying antecedent topographies. A parameterized island Gaussian fit (PIGF) model generated an idealized baseline profile and a suite of idealized profiles that vary specific characteristics based on collated observed light detection and ranging (lidar) data collected from Dauphin Island, AL, between 2005 and 2015. The model inputs of idealized topography and bathymetry values for simulation of synthetic storm evolution with XBeach are described in Mickey and others (2020) and included in this USGS data release.

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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Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:d5f538af-4799-4fba-8a9e-45c8e86d3ce9
Data Last Modified 20201110
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 31b0a36f-4404-4cf7-a1ae-126b12cceca7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -88.2983394062496,30.1804426054335,-88.2991180886776,30.2397297439563
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 7f64c6fec0e9b05de4fee4e796067748434984fbf25867d9841f4b69cc694463
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -88.2983394062496, 30.1804426054335, -88.2983394062496, 30.2397297439563, -88.2991180886776, 30.2397297439563, -88.2991180886776, 30.1804426054335, -88.2983394062496, 30.1804426054335}

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