Citation:
Citation_Information:
Originator: Justin J. Birchler
Originator: Hilary F. Stockdon
Originator: Kara S. Doran
Originator: David M. Thompson
Publication_Date: 2014
Title:
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast
Edition: first
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: http://olga.er.usgs.gov/data/NACCH/NE_erosion_hazards.zip
Larger_Work_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2014
Title:
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast
Online_Linkage: http://pubs.usgs.gov/of/2014/1243
Description:
Abstract:
These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Northeast Atlantic coast for category 1-4 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 1-4 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 taken from May to July, 2010.
Purpose:
To provide data on the probability of hurricane-induced coastal erosion hazards for the Northeast Atlantic coast.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20100524
Ending_Date: 20100710
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency:
None planned, however future updates and post-storm analyses are anticipated.
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -71.885881
East_Bounding_Coordinate: -69.729768
North_Bounding_Coordinate: 43.777800
South_Bounding_Coordinate: 41.306854
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:38be9521-69c9-48a9-90bd-6d451274690a
Theme:
Theme_Keyword_Thesaurus: General
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: SPCMSC
Theme_Keyword: Open-File Report 2014-1243
Theme_Keyword: OFR 2014-1243
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: coastal
Theme_Keyword: elevation
Theme_Keyword: environment
Place:
Place_Keyword_Thesaurus: General
Place_Keyword: U.S. Northeast Atlantic
Place_Keyword: Rhode Island
Place_Keyword: Massachusetts
Place_Keyword: New Hampshire
Place_Keyword: Maine
Place_Keyword: Atlantic Ocean
Access_Constraints: None
Use_Constraints:
The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Hilary Stockdon
Contact_Address:
Address_Type: mailing and physical
Address: 600 4th Street South
City: Saint Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: UNITED STATES
Contact_Voice_Telephone: 727-502-8074
Contact_Facsimile_Telephone: 727-502-8001
Contact_Electronic_Mail_Address: hstockdon@usgs.gov
Data_Set_Credit:
The predicted elevations of combined high tide and storm surge for category 1-4 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 (Simulating WAves Nearshore) software developed by Delft University of Technology (TU Delft).
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7600); ESRI ArcGIS 10.0.4.4000