Metadata: Identification_Information: 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: For more information about scenario-based assessments for coastal change hazard forecasts, please visit the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center’s (USGS SPCMSC) science page, https://www.usgs.gov/centers/spcmsc/science/scenario-based-assessments-coastal-change-hazard-forecasts. The data included in this data release (Doran and others, 2022) is also available in the National Assessment of Coastal Change Hazards (CCH) Portal, https://marine.usgs.gov/coastalchangehazardsportal/. The CCH Portal allows online access to data and tools that enables users to apply coastal change hazard assessments to their specific needs. 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 Data_Quality_Information: Logical_Consistency_Report: Data gaps exist for coastlines in Puerto Rico without sandy beaches or rocky cliffs (such as mangroves or river deltas) where elevation metrics do not exist. In addition, gaps may be present where the modeled total water level was determined to be invalid by the analyst. No additional checks for consistency were performed on this data. Completeness_Report: These data include dune and cliff morphology, along with hurricane hydrodynamic data used to generate probabilities of hurricane-induced erosion. Elevation data from lidar surveys were not included. Measurements were collected approximately every 10-m and summarized to 100-m segments. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Horizontal accuracy of the lidar digital elevation model (DEM) is 1 meter. The nearshore ADCIRC model grid resolution is 14 m, and each Xbeach transect with accompanying morphology is approximately 100 m apart in the alongshore direction. Data are referenced to the World Geodetic System of 1984 (WGS84) coordinate system. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Vertical accuracy for hydrodynamic measurements (surge, setup, and runup) is dependent on input data. No quantitative comparisons have been made, but qualitative storm surge model predictions match well with the observations. The significant wave height predictions, although in phase with the observations in that the time occurrence of the peaks match, the model predictions tend to be much larger than the measurements. No other accuracy checks were performed. Vertical accuracy for dune and cliff morphology (dune and cliff crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys are +/- 15 centimeters (cm). However, vertical accuracies may vary based on the type of terrain (for example, inaccuracies may increase as slope increases, or with the presence of extremely dense vegetation) and the accuracy of the Global Positioning System (GPS) and aircraft-attitude measurements. Data are referenced to the North American Vertical Datum of 1988 (NAVD88) coordinate system. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Kirsten J. Bendik Originator: Alexander C. Seymour Originator: Kara S. Doran Publication_Date: 20210121 Title: Coastal cliff top and toe delineation derived from lidar for Puerto Rico: 2018 Online_Linkage: https://doi.org/10.5066/F7610XCX Type_of_Source_Media: vector digital data Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20180703 Ending_Date: 20180817 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: Cliff top and toe Source_Contribution: Cliff top and toe delineation data derived from lidar for Puerto Rico in 2018 were summarized into 100-meter sections and used as inputs to generate cliff morphology (DHIGH, DLOW, DHIrms, DLOrms). Source_Information: Source_Citation: Citation_Information: Originator: Jose L. Benitez-Menendez Originator: Aurelio Mercado-Irizarry Publication_Date: 2015 Title: CARICOOS Storm Surge Atlas for Puerto Rico Online_Linkage: https://www.caricoos.org/map/storm-surge?locale=en Type_of_Source_Media: digital data Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2022 Source_Currentness_Reference: Date last modified Source_Citation_Abbreviation: MOM Source_Contribution: Maximum of Maximum (MOM) data provide a worst-case snapshot for a particular hurricane category under "perfect" storm conditions and was used to estimate water level under hurricane categories 1-5. Source_Information: Source_Citation: Citation_Information: Originator: Deltares Publication_Date: 20201019 Title: XBeach Online_Linkage: https://oss.deltares.nl/web/xbeach Type_of_Source_Media: Computer program Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20201019 Source_Currentness_Reference: Date downloaded Source_Citation_Abbreviation: XBeach Source_Contribution: Model used to estimate wave setup and runup conditions for different hurricane categories. Source_Information: Source_Citation: Citation_Information: Originator: US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center for Expertise (JALBTCX) Publication_Date: 20180717 Title: 2018 USACE FEMA Topobathy Lidar: Main Island, Culebra, and Vieques, Puerto Rico Point Cloud files with Orthometric Vertical Datum Puerto Rico Vertical Datum of 2002 (PRVD02) using GEOID18 Online_Linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8560/index.html Type_of_Source_Media: digital data Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20180701 Ending_Date: 20180830 Source_Currentness_Reference: Ground condition Source_Citation_Abbreviation: 2018 USACE PR Source_Contribution: A lidar survey of Puerto Rico that was used to estimate dune morphology variables (DHIGH, DLOW, DHIrms, DLOrms). Process_Step: Process_Description: For dune morphology data: Elevation data from lidar surveys (2018 USACE PR) were interpolated in MATLAB (R2021a) to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 meters in the long-shore direction and 2.5 m in the cross-shore direction. The interpolation method applied spatial filtering with a Hanning window that was twice as wide as the grid resolution. Dune morphology data (dune crest and dune toe) were extracted from the elevation grid in MATLAB using methods described in Stockdon and others (2012). Dune morphology data were then summarized to 100-meter sections. Sections with greater than 75 percent of the data missing were flagged with the invalid number of 999. The 100-m smoothed dune crest (DHIGH), toe (DLOW) and root mean square (DHIrms, DLOrms) error for each section are then used to compute probabilities. Source_Used_Citation_Abbreviation: 2018 USACE PR Process_Date: 2022 Source_Produced_Citation_Abbreviation: Dune morphology (DHIGH, DLOW, DHIrms, DLOrms) Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran 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: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Process_Step: Process_Description: The coastal cliff top and toe delineation data of Puerto Rico in 2018 from Bendik and others (2021) were summarized to 100-meter sections. Sections with greater than 75 percent of the data missing were flagged with the invalid number of 999. The 100-m smoothed cliff top (DHIGH), toe (DLOW) and root mean square (DHIrms, DLOrms) error for each section are then used to compute probabilities Areas with cliffs were interpolated separate from dunes to avoid averaging over multiple morphologies. Source_Used_Citation_Abbreviation: 2018 USACE PR Source_Used_Citation_Abbreviation: Cliff top and toe Process_Date: 2022 Source_Produced_Citation_Abbreviation: Cliff morphology (DHIGH, DLOW, DHIrms, DLOrms) Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran 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: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Process_Step: Process_Description: For hydrodynamic data: One dimensional XBeach models were set up around the island, spaced approximately 100 m apart. Inputs included the maximum of the maximum (MOM) significant wave heights and MOM storm surge values, along with variable bottom friction due to coral coverage. For each hurricane category, the XBeach models were run for 60 minutes. The last thirty-four minutes of each sixty-minute time series of runup computed by XBeach were analyzed to calculate wave setup and the 2% exceedance value of runup. Reading of the netCDF XBeach output files and subsequent calculations were done in MATLAB (R2021a). This resulted in the hydrodynamics (SURGE, SETUP, RUNUP), which was used an input for the next step. Source_Used_Citation_Abbreviation: MOM Source_Used_Citation_Abbreviation: XBeach Process_Date: 2022 Source_Produced_Citation_Abbreviation: Hydrodynamics (SURGE, SETUP, RUNUP) Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran 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: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Process_Step: Process_Description: Probabilities of coastal erosion hazards are based on estimating the likelihood that the beach system will experience erosion and deposition patterns consistent with collision, overwash, or inundation regimes. The regimes were calculated by using values of dune and cliff morphology and mean and extreme water levels (hydrodynamics) for each 100-m section, such that probability of collision occurs when extreme water levels reach the dune or cliff toe; overwash when extreme water levels reach the dune crest or cliff top; and inundation when mean water levels reach the dune crest or cliff top. Probabilities were calculated in MATLAB (R2021a) and exported in ArcGIS shapefile (.shp) format using MATLAB shapewrite.m. This produced the probabilities of collision, overwash, inundation, mean water level and extreme water level data for category 1 through 5 hurricanes, found in the final shapefile (PR_PCOI_line.shp). For details on modeling parameterization, refer to the methods in Stockdon and others (2012). Source_Used_Citation_Abbreviation: Dune morphology (DHIGH, DLOW, DHIrms, DLOrms) Source_Used_Citation_Abbreviation: Cliff morphology (DHIGH, DLOW, DHIrms, DLOrms) Source_Used_Citation_Abbreviation: Hydrodynamics (SURGE, SETUP, RUNUP) Process_Date: 2011 Source_Produced_Citation_Abbreviation: PR_PCOI_line.shp Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran 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: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: String Point_and_Vector_Object_Count: 3325 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Geographic: Latitude_Resolution: 0.0197699442 Longitude_Resolution: 0.0239719265 Geographic_Coordinate_Units: Decimal Degrees Geodetic_Model: Horizontal_Datum_Name: D WGS 1984 Ellipsoid_Name: WGS 1984 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Vertical_Coordinate_System_Definition: Altitude_System_Definition: Altitude_Datum_Name: North American Vertical Datum 1988 Altitude_Resolution: 0.15 Altitude_Distance_Units: meters Altitude_Encoding_Method: Attribute values Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: PR_PCOI_line.shp Entity_Type_Definition: Shapefile (.shp) containing the probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data of Puerto Rico for category 1 through 5 storm scenarios. Entity_Type_Definition_Source: USGS Attribute: Attribute_Label: FID Attribute_Definition: Internal feature number. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Shape Attribute_Definition: Feature geometry. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Coordinates defining the features. Attribute: Attribute_Label: DHIGH Attribute_Definition: Elevation of dune crest or cliff top in meters, referenced to NAVD88. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.405438 Range_Domain_Maximum: 100.565053 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: DLOW Attribute_Definition: Elevation of the dune or cliff toe in meters, referenced to NAVD88. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 7.71334 Attribute_Units_of_Measure: meters Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: DHIrms Attribute_Definition: Root mean squared error of dune crest or cliff top elevation measurements (square meters). Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.021528 Range_Domain_Maximum: 27.465203 Attribute_Units_of_Measure: square meters Attribute: Attribute_Label: DLOrms Attribute_Definition: Root mean square error of dune or cliff toe elevation measurements (square meters). Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2.776537 Attribute_Units_of_Measure: square meters Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: PCOL1 Attribute_Definition: Probability of collision from a category 1 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: PCOL2 Attribute_Definition: Probability of collision from a category 2 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: PCOL3 Attribute_Definition: Probability of collision from a category 3 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: PCOL4 Attribute_Definition: Probability of collision from a category 4 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.043041 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: PCOL5 Attribute_Definition: Probability of collision from a category 5 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 54.723087 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 999 Enumerated_Domain_Value_Definition: Null value Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: POVW1 Attribute_Definition: Probability of overwash from a category 1 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: POVW2 Attribute_Definition: Probability of overwash from a category 2 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: POVW3 Attribute_Definition: Probability of overwash from a category 3 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: POVW4 Attribute_Definition: Probability of overwash from a category 4 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: POVW5 Attribute_Definition: Probability of overwash from a category 5 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: PIND1 Attribute_Definition: Probability of inundation from a category 1 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: PIND2 Attribute_Definition: Probability of inundation from a category 2 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: PIND3 Attribute_Definition: Probability of inundation from a category 3 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: PIND4 Attribute_Definition: Probability of inundation from a category 4 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: PIND5 Attribute_Definition: Probability of inundation from a category 5 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.00 Range_Domain_Maximum: 100.00 Attribute_Units_of_Measure: percent Attribute: Attribute_Label: MEAN1 Attribute_Definition: Mean water level (Setup + Surge) for a category 1 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.373387 Range_Domain_Maximum: 3.747773 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: MEAN2 Attribute_Definition: Mean water level (Setup + Surge) for a category 2 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.41675 Range_Domain_Maximum: 4.201769 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: MEAN3 Attribute_Definition: Mean water level (Setup + Surge) for a category 3 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.64477 Range_Domain_Maximum: 4.996417 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: MEAN4 Attribute_Definition: Mean water level (Setup + Surge) for a category 4 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.870202 Range_Domain_Maximum: 5.57431 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: MEAN5 Attribute_Definition: Mean water level (Setup + Surge) for a category 5 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1.139342 Range_Domain_Maximum: 6.069454 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: EXTREME1 Attribute_Definition: Extreme water level (Runup + Surge) for a category 1 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.433844 Range_Domain_Maximum: 5.960094 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: EXTREME2 Attribute_Definition: Extreme water level (Runup + Surge) for a category 2 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.614942 Range_Domain_Maximum: 9.370895 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: EXTREME3 Attribute_Definition: Extreme water level (Runup + Surge) for a category 3 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.727493 Range_Domain_Maximum: 11.174338 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: EXTREME4 Attribute_Definition: Extreme water level (Runup + Surge) for a category 4 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1.015742 Range_Domain_Maximum: 13.113772 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: EXTREME5 Attribute_Definition: Extreme water level (Runup + Surge) for a category 5 storm Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1.232767 Range_Domain_Maximum: 13.053943 Attribute_Units_of_Measure: meters Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran Contact_Address: Address_Type: mailing and physical Address: 600 4th Street South City: Saint Petersburg State_or_Province: FL Postal_Code: 33701 Contact_Voice_Telephone: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Contact_Instructions: All of this report is available online. Distribution_Liability: Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: shapefile File_Decompression_Technique: zip Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9N01XLQ/data/PR_PCOI_line.zip Fees: None, if obtained online. Metadata_Reference_Information: Metadata_Date: 20220815 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Kara S. Doran 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: 727-502-8117 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kdoran@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time