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- Description:
This data set contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the United States coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys.
- Data Provided By:
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Kara S. Doran
Hilary F. Stockdon
David S. Thompson
Kristin S. Sopkin
Nathaniel G. Plant
Asbury H. Sallenger
- Data Hosted by:
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ScienceBase (USGS)
View Record
- Map Service URL:
- https://www.sciencebase.gov/arcgis/rest/services/Catalog/54c6809ae4b043905e019a4e/MapServer/
- Content date:
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2014-03-05 (Publication Date), 2014-03-05 (Time Period)
- Contact Organization:
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U.S. Geological Survey
U.S. Geological Survey
Texas A&M; University Corpus Christi, Harte Research Institute
- Contact Person(s):
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- Use Constraints:
- The predicted elevations of combined high tide and storm surge for category 1-5 hurricanes were extracted from the National Oceanic and Atmospheric Administration (NOAA) SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model, which has been employed by NOAA in inundation risk studies and operational storm surge forecasting. Wave runup and setup conditions were generated using SWAN software developed by Delft University of Technology (TU Delft). The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
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This dataset is visible to everyone
- Dataset Type:
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External Map Service
(ArcGIS)
Included in
1 Private Map
Included in
1 Public Gallery
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About the Uploader
Gulf Coast Prairie LCC
with Gulf Coast Prairie Landscape Conservation Cooperative
This is the admin account for the Gulf Coast Prairie LCC Conservation Planning Atlas