Tropical Storm Nicole Assessment of Potential Coastal-Change Impacts: NHC Advisory 9, 700 AM EST WED NOV 09 2022

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Justin J. Birchler
Originator: Kara S. Doran
Publication_Date: 20251117
Title:
Tropical Storm Nicole Assessment of Potential Coastal-Change Impacts: NHC Advisory 9, 700 AM EST WED NOV 09 2022
Geospatial_Data_Presentation_Form: vector digital data
Larger_Work_Citation:
Citation_Information:
Originator: Kara S. Doran
Originator: Justin J. Birchler
Originator: Heather A. Schreppel
Originator: Hilary F. Stockdon
Originator: David M. Thompson
Publication_Date: 2019
Title:
Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events
Edition: 2.0
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P9Z362BC
Publication_Information:
Publication_Place: St. Petersburg, Florida
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9Z362BC
Description:
Abstract:
This dataset defines storm-induced coastal erosion hazards for the Florida, Georgia and South Carolina coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Tropical Storm Nicole in November 2022. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation.
Purpose:
To provide data on the probability of storm-induced coastal erosion hazards for the Florida, Georgia and South Carolina coast for Tropical Storm Nicole.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20221109
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: -85.4018
East_Bounding_Coordinate: -79.1826
North_Bounding_Coordinate: 33.1916
South_Bounding_Coordinate: 25.6695
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:76beda5c-3f6f-4b45-91ba-19de5beb7009
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/Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: coastal
Theme_Keyword: Tropical Storm Nicole
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: elevation
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: hazards
Theme_Keyword: marine geology
Theme_Keyword: ocean sciences
Theme_Keyword: coastal processes
Theme_Keyword: erosion
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: distributions
Theme_Keyword: bathymetry and elevation
Theme_Keyword: physical habitats and geomorphology
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) Keywords
Theme_Keyword: effects of coastal change
Theme_Keyword: shoreline accretion
Theme_Keyword: shoreline erosion
Theme_Keyword: storm erosion
Theme_Keyword: topographic mapping
Theme_Keyword: hurricanes and typhoons
Place:
Place_Keyword_Thesaurus: Geographic Names Information System
Place_Keyword: United States of America
Place_Keyword: Florida
Place_Keyword: Georgia
Place_Keyword: South Carolina
Access_Constraints:
No access constraints. Please see 'Distribution Information' for details.
Use_Constraints:
These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin J. Birchler
Contact_Position: Physical Scientist
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: 727-502-8000
Contact_Electronic_Mail_Address: jbirchler@usgs.gov
Data_Set_Credit:
The predicted elevations of storm surge were extracted from the National Oceanic and Atmospheric Administration (NOAA) Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model, which has been employed by NOAA in inundation risk studies and operational storm surge forecasting. Wave runup and setup conditions were generated using NOAA's WaveWatch III model.
Native_Data_Set_Environment: Microsoft Windows 10; Esri ArcGIS 10.6.0.8321
Cross_Reference:
Citation_Information:
Originator: Stockdon, H.F.
Originator: Doran, K.J.
Originator: Thompson, D.M.
Originator: Sopkin, K.L.
Originator: Plant, N.G.
Originator: Sallenger, A.H.
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, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20121084
Data_Quality_Information:
Logical_Consistency_Report:
No additional checks for consistency were performed on this data.
Completeness_Report:
This dataset includes dune morphology and hurricane hydrodynamic data used to generate probabilities of hurricane-induced erosion, elevation data from lidar surveys are not included. Measurements were collected approximately every 10 meters (m) and summarized to 500 m segments.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: Horizontal accuracy was not estimated.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Vertical accuracy for hydrodynamic measurements (surge, setup, and runup) is dependent on input data. SLOSH model accuracy is estimated to be +/- 20 percent of the calculated value. No other accuracy checks were performed. Vertical accuracy for dune morphology (dune crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys are +/- 15 centimeters. 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), the accuracy of the global positioning system (GPS), and aircraft-attitude measurements.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Weather Service, National Oceanic and Atmospheric Administration
Publication_Date: 20221109
Title: Probabilistic Extra-Tropical Storm Surge
Online_Linkage: http://slosh.nws.noaa.gov/petss/index.php
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20221109
Source_Currentness_Reference: The date when web page was last modified.
Source_Citation_Abbreviation: P-ETSS
Source_Contribution:
Data provides water levels that have a 1 in 10 chance of being exceeded within the next 102 hours.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA National Weather Service Environmental Modeling Center
Publication_Date: 20221109
Title: Nearshore Wave Prediction System
Online_Linkage: https://polar.ncep.noaa.gov/nwps/para/viewer.shtml
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20221109
Source_Currentness_Reference: The date when web page was last modified.
Source_Citation_Abbreviation: NWPS
Source_Contribution:
Wave model that was used to estimate wave setup and runup conditions at the shoreline within the next 145 hours.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
United States Army Corps of Engineers (USACE), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), Federal Emergency Management Agency (FEMA)
Publication_Date: 20181108
Title: 2018 USACE FEMA Post-Michael Topobathy Lidar: Florida Panhandle
Other_Citation_Details: Geographic Coverage: FL Panhandle
Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar2_z/geoid18/data/8625/
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8625
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181024
Ending_Date: 20181104
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USACE JALBTCX FL PH 2018
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Army Corps of Engineers (USACE)
Publication_Date: 20161215
Title:
2015 U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) Topobathy Lidar DEM: Florida Gulf Coast
Other_Citation_Details:
Geographic Coverage: FL Panhandle (Fort Walton Beach to Bald Point State Park), FL west coast (Anclote Key to Marco Island)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5190
Online_Linkage:
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20150606
Ending_Date: 20150630
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USACE FL WC 2015
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Oceanic Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Remote Sensing Division
Publication_Date: 20190728
Title: 2017 NOAA NGS Topobathy Lidar: DeSoto to Boca Grande, FL
Other_Citation_Details: Geographic Coverage: FL WC (Desoto to Boca Grande)
Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar1_z/geoid18/data/8793/
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8793
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20171010
Ending_Date: 20171027
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: NOAA NGS FL WC 2017
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Digital Aerial Solutions, LLC (DAS), United States Geological Survey (USGS)
Publication_Date: 20190711
Title: USGS Lidar Point Cloud FL Southwest A 2018
Other_Citation_Details: Geographic Coverage: FL WC (Boca Grande to Marco Island)
Online_Linkage: Online_Linkage: Online_Linkage: https://apps.nationalmap.gov/viewer/
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20180508
Ending_Date: 20181029
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USGS FL WC 2018
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Army Corps of Engineers (USACE)
Publication_Date: 20171002
Title:
2017 USACE FEMA Topobathy Lidar: Florida East Coast, Florida Keys, and Collier County (Post Hurricane Irma)
Other_Citation_Details: Geographic Coverage: FL East Coast
Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar2_z/geoid18/data/6330/
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20170918
Ending_Date: 20171025
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USACE FL EC 2017
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
National Oceanic Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Remote Sensing Division
Publication_Date: 20190724
Title:
2018 NOAA NGS Topobathy Lidar: Fort Lauderdale to Highland Beach, FL
Other_Citation_Details:
Geographic Coverage: FL East Coast (Fort Lauderdale to Highland Beach, FL)
Online_Linkage: Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8923
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20180605
Ending_Date: 20180609
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USACE FL EC 2018
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: United States Army Corps of Engineers (USACE)
Publication_Date: 20180514
Title:
2016 USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA and FL)
Other_Citation_Details: Geographic Coverage: GA, SC, VA
Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar2_z/geoid18/data/5184/
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5184
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20161028
Ending_Date: 20161126
Source_Currentness_Reference: The date when lidar surveys were collected.
Source_Citation_Abbreviation: USACE Southeast 2016
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Process_Step:
Process_Description:
For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB (version R2017a) to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the longshore 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 were extracted from the elevation grid in MATLAB. Dune morphology data were then summarized to 500 m sections. Sections with greater than 75 percent of data missing were flagged with the invalid number of -999. The 1-kilometer smoothed dune crest (DHIGH), toe (DLOW) and root mean square (RMS) error for each (DHIrms and DLOrms) were written to line shapefiles using MATLAB's shapewrite.m script.
Source_Used_Citation_Abbreviation: USACE JALBTCX FL PH 2018
Source_Used_Citation_Abbreviation: USACE FL WC 2015
Source_Used_Citation_Abbreviation: NOAA NGS FL WC 2017
Source_Used_Citation_Abbreviation: USGS FL WC 2018
Source_Used_Citation_Abbreviation: USACE FL EC 2017
Source_Used_Citation_Abbreviation: USACE FL EC 2018
Source_Used_Citation_Abbreviation: USACE Southeast 2016
Process_Date: 2022
Source_Produced_Citation_Abbreviation: Dune morphology (DHIGH, DLOW, DHIrms, DLOrms)
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin J. Birchler
Contact_Position: Physical Scientist
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: 727-502-8000
Contact_Electronic_Mail_Address: jbirchler@usgs.gov
Process_Step:
Process_Description:
For hydrodynamic data: Water level was computed in MATLAB by adding storm surge from NOAAs Probabilistic Tropical Storm Surge (P-Surge) model (https://slosh.nws.noaa.gov/psurge2.0/) to wave setup and runup. The wave height and period used for calculating wave runup and setup came from the Wavewatch III model. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS shapefile format. For details on modeling parameterization, see Stockdon and others (2012).
Source_Used_Citation_Abbreviation: P-ETSS
Source_Used_Citation_Abbreviation: NWPS
Process_Date: 20221109
Source_Produced_Citation_Abbreviation: Hydrodynamics (SURGE, SETUP, RUNUP)
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin J. Birchler
Contact_Position: Physical Scientist
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: 727-502-8000
Contact_Electronic_Mail_Address: jbirchler@usgs.gov
Process_Step:
Process_Description:
Probabilities of coastal erosion hazards were based on estimating the likelihood that the beach system would experience erosion and deposition patterns consistent with collision (PCOL), overwash (POVW), or inundation (PIND) regimes. The regimes were calculated by using values of dune morphology and mean and extreme water levels for each 500 m section, such that the probability of collision (PCOL) occurs when extreme water levels reach the dune toe; overwash (POVW) when extreme water levels reach the dune crest; and inundation (PIND) when mean water levels reach the dune crest. In cases where DLOW is null (-999) PCOL is also null (-999) due to the inability to compute water level elevation reaching dune toe. Probabilities were calculated in MATLAB and exported using MATLABs shapewrite.m script. For details on modeling parameterization, see Stockdon and others (2012).
Source_Used_Citation_Abbreviation: Dune morphology
Source_Used_Citation_Abbreviation: Hydrodynamics
Process_Date: 20221109
Source_Produced_Citation_Abbreviation: Probabilities (PCOL, POVW, PIND)
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin J. Birchler
Contact_Position: Physical Scientist
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: 727-502-8000
Contact_Electronic_Mail_Address: jbirchler@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: 3481
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.01975663976
Longitude_Resolution: 0.0249972312
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
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: Nicole_PCOI_line
Entity_Type_Definition:
Probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data
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, in meters, using the North American Vertical Datum of 1988 (NAVD88). Extracted from lidar surveys collected from June 2015 to November 2018.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.82733
Range_Domain_Maximum: 9.3597
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: DLOW
Attribute_Definition:
Elevation of the dune toe, in meters . Extracted from lidar surveys collected from June 2015 to November 2018.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.61942
Range_Domain_Maximum: 3.7147
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 square error of dune crest elevation measurements .
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.17076
Range_Domain_Maximum: 2.1742
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: DLOrms
Attribute_Definition: Root mean square error of dune toe elevation measurements .
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.15490
Range_Domain_Maximum: 0.96483
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: SURGE
Attribute_Definition: Storm surge water level.
Attribute_Definition_Source: NOAA
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.37983
Range_Domain_Maximum: 2.0669
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: NOAA
Attribute:
Attribute_Label: RUNUP
Attribute_Definition: Wave runup water level.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.18082
Range_Domain_Maximum: 5.7338
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: SETUP
Attribute_Definition: Wave setup water level.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.025902
Range_Domain_Maximum: 2.3444
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: PCOL
Attribute_Definition: Probability of collision.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.014163
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: POVW
Attribute_Definition: Probability of overwash.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 99.989
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: PIND
Attribute_Definition: Probability of inundation.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 99.1858
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: MEAN
Attribute_Definition: Mean water level (surge + setup).
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.5114
Range_Domain_Maximum: 3.9051
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: EXTREME
Attribute_Definition: Extreme water level (surge + runup).
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.8277
Range_Domain_Maximum: 6.9971
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: TIDE
Attribute_Definition: Predicted tide water level.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 0
Attribute_Units_of_Measure: meters
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Contact_Person: USGS SPCMSC Data Management
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: 727-502-8000
Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
Distribution_Liability:
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. 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:
Fees: None, if obtained online.
Metadata_Reference_Information:
Metadata_Date: 20251117
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Contact_Person: USGS SPCMSC Data Management
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: 727-502-8000
Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Nicole_PCOI_line_metadata.html>
Generated by mp version 2.9.51 on Mon Nov 17 14:47:01 2025