Citation:
Citation_Information:
Originator: Legna M. Torres-Garcia
Originator: David M. Thompson
Originator: Kara S. Doran
Originator: Priscilla Vargas-Babilonia
Publication_Date: 20220815
Title:
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
Geospatial_Data_Presentation_Form: vector digital data
Larger_Work_Citation:
Citation_Information:
Originator: Kara S. Doran
Originator: Legna M. Torres-Garcia
Originator: David M. Thompson
Originator: Justin J. Birchler
Originator: Kirsten J. Bendik
Originator: Alex C. Seymour
Originator: Priscilla Vargas-Babilonia
Originator: Curt D. Storlazzi
Originator: Mark Buckley
Originator: Margaret L. Palmsten
Publication_Date: 20220815
Title:
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P9N01XLQ
Publication_Information:
Publication_Place: St. Petersburg, Florida
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9N01XLQ
Description:
Abstract:
This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the Puerto Rico 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 and cliff morphology (dune crest and toe elevation, cliff top and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new 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 and cliff morphology observations, as derived from light detection and ranging (lidar) surveys.
Purpose:
To provide data on the probability of hurricane-induced coastal erosion hazards for the coast of Puerto Rico.
Supplemental_Information:
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20220815
Currentness_Reference: Publication date
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: -67.2710
East_Bounding_Coordinate: -65.5896
North_Bounding_Coordinate: 18.5160
South_Bounding_Coordinate: 17.9269
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:d84db9e3-daed-4a49-86c4-58b85cd94b8f
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: hurricanes
Theme_Keyword: geographic information systems
Theme_Keyword: erosion
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: elevation
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: SPCMSC
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Open-File Report 2012-1084
Theme_Keyword: OFR 2012-1084
Theme_Keyword: coastal
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States
Place_Keyword: Caribbean Sea
Place_Keyword: Puerto Rico
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: Legna M. Torres-Garcia
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: 727-502-8105
Contact_Facsimile_Telephone: 727-502-8182
Contact_Electronic_Mail_Address: ltorresgarcia@usgs.gov
Data_Set_Credit:
The predicted elevations of combined high tide and storm surge for category 1-5 hurricanes were obtained from the Caribbean Coastal Ocean Observing System (CARICOOS) Storm Surge Atlas for Puerto Rico, a tightly-coupled hydrodynamic and wind wave model developed with the Advance Circulation Model (ADCIRC) and Simulating Waves Nearshore (SWAN) by Benitez-Menendez and Mercado-Irizarry (2015). The algorithm estimates the maximum storm surge elevation during hypothetical hurricane scenarios at each computational node of an unstructured mesh that covers the Caribbean Sea, extending between latitudes 9 degrees North to 24 degrees North and longitudes 72 degrees West to 58 degrees West, with a spacing of 14 m nearshore and 13 kilometers (km) in deep water. The data used represents the Maximum of the Maximum (MOM) storm surge elevations modeled, providing the expected worst-case surge during an extreme storm, assuming no sea level rise.
Native_Data_Set_Environment: Microsoft Windows 10; MATLAB R2021a; ESRI ArcGIS 10.8.1.
Cross_Reference:
Citation_Information:
Originator: Hilary F. Stockdon
Originator: Kara J. Doran
Originator: David M. Thompson
Originator: Kristin L. Sopkin
Originator: Nathaniel G. Plant
Originator: Asbury H. Sallenger
Publication_Date: 2012
Title:
National assessment of hurricane-induced coastal erosion hazards-Gulf of Mexico
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: doi:10.3133/ofr20121084
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20121084