Hurricane Lee Assessment of Potential Coastal-Change Impacts: NHC Advisory 40, 0500 AM EDT FRI SEP 15 2023

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Justin J. Birchler
Originator: Kara S. Doran
Publication_Date: 20251117
Title:

Hurricane Lee Assessment of Potential Coastal-Change Impacts: NHC Advisory 40, 0500 AM EDT FRI SEP 15 2023

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: 20190619
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 New York, Rhode Island, Massachusetts, New Hampshire and Maine 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 Hurricane Lee in September 2023. 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 New York, Rhode Island, Massachusetts, New Hampshire and Maine coast for Hurricane Lee.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20230915

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: -74.1002
East_Bounding_Coordinate: -69.9291
North_Bounding_Coordinate: 43.5630
South_Bounding_Coordinate: 40.5437

Keywords:

Theme:

Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:40b6e708-1e9b-4034-b29a-c81a7c6e039d

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: Hurricane Lee

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: New York
Place_Keyword: Rhode Island
Place_Keyword: Massachusetts
Place_Keyword: New Hampshire
Place_Keyword: Maine

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's (NOAA) Probabilistic Hurricane Storm Surge (P-Surge) model; an ensemble model based on the 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 Nearshore Wave Prediction System model.

Native_Data_Set_Environment: Microsoft Windows 10; Esri ArcGIS 10.8.1
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 Hurricane Center, National Oceanic and Atmospheric Administration

Publication_Date: 20230915
Title: Probabilistic Tropical Storm Surge
Online_Linkage: https://slosh.nws.noaa.gov/psurge2.0/
Online_Linkage: ftp://ftp.ncep.noaa.gov/pub/data/nccf/com/psurge/prod/

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20230915

Source_Currentness_Reference: The date when web page was last modified.

Source_Citation_Abbreviation: P-Surge
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: 20230915
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: 20230915

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:

U.S. Army Corps of Engineers (USACE), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)

Publication_Date: 20181108
Title: 2020 USACE NAN Topobathy Lidar: New Jersey and New York
Other_Citation_Details: Geographic Coverage: NJ and NY
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9000/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9000

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20200120
Ending_Date: 20200127

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE NAN NJ NY 2020
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: 20151220
Title: 2014 NOAA NGS Topobathy Lidar: Post Sandy, Rhode Island
Other_Citation_Details: Geographic Coverage: RI
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4976/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4976

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20140717
Ending_Date: 20140809

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: NOAA NGS RI 2014
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) National Coastal Mapping Program (NCMP), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)

Publication_Date: 20181108
Title:

2018 USACE NCMP Topobathy Lidar: East Coast (CT, MA, ME, NC, NH, RI, SC)

Other_Citation_Details: Geographic Coverage: MA
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8688/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8688

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20180509
Ending_Date: 20180827

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE NCMP MA 2018
Source_Contribution:

A lidar survey that was used to estimate dune morphology variables.

Source_Information:

Source_Citation:

Citation_Information:

Originator:

Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM), United States Geological Survey (USGS), Coastal and Marine Geology Program (CMGP)

Publication_Date: 20160523
Title:

2013-2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (MA, NH, RI)

Other_Citation_Details: Geographic Coverage: NH
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4914/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4914

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20131116
Ending_Date: 20141227

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE NH 2013
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: 201408
Title: 2010 USACE Lidar: Northeast Atlantic Coast
Other_Citation_Details: Geographic Coverage: ME
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1174/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1174

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20100524
Ending_Date: 20100710

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE ME 2010
Source_Contribution:

A lidar survey that was used to estimate dune morphology variables.

Source_Information:

Source_Citation:

Citation_Information:

Originator:

U.S. Army Corps of Engineers (USACE), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)

Publication_Date: 20150813
Title: 2013 USACE NAE Topobathy Lidar: Maine
Other_Citation_Details: Geographic Coverage: ME
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4930/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4930

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20130620
Ending_Date: 20130620

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE ME 2013
Source_Contribution:

A lidar survey that was used to estimate dune morphology variables.

Source_Information:

Source_Citation:

Citation_Information:

Originator:

U.S. Army Corps of Engineers (USACE), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)

Publication_Date: 20150626
Title: 2014 USACE NAE Topobathy Lidar: Maine
Other_Citation_Details: Geographic Coverage: ME
Online_Linkage:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4911/index.html

Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4911

Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20141109
Ending_Date: 20141115

Source_Currentness_Reference: The date when lidar surveys were collected.

Source_Citation_Abbreviation: USACE ME 2014
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 R2021a) to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the alongshore 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 NAN NJ NY 2020
Source_Used_Citation_Abbreviation: NOAA NGS RI 2014
Source_Used_Citation_Abbreviation: USACE NCMP MA 2018
Source_Used_Citation_Abbreviation: USACE NH 2013
Source_Used_Citation_Abbreviation: USACE ME 2010
Source_Used_Citation_Abbreviation: USACE ME 2013
Source_Used_Citation_Abbreviation: USACE ME 2014
Process_Date: 2023
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 NOAA's 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 Nearshore Wave Prediction System model (https://polar.ncep.noaa.gov/nwps/). 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-Surge
Source_Used_Citation_Abbreviation: NWPS
Process_Date: 20230915
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 MATLAB's 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: 20230915
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: 2013

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: Lee_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 May 2010 to January 2020.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1.4657
Range_Domain_Maximum: 48.0191
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 NAVD88. Extracted from lidar surveys collected from May 2010 to January 2020.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1.0938
Range_Domain_Maximum: 5.4136
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: 0.1714
Range_Domain_Maximum: 4.0561
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: 0.1670
Range_Domain_Maximum: 1.2108
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: 0.549
Range_Domain_Maximum: 1.9131
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: 0.2679
Range_Domain_Maximum: 6.2448
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: 0.047515
Range_Domain_Maximum: 2.6049
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: 1.1205
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: 99.9991
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: 94.3049
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: 0.90788
Range_Domain_Maximum: 4.2809
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: 1.1297
Range_Domain_Maximum: 7.9208
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:

Network_Address:

Network_Resource_Name:

https://coastal.er.usgs.gov/data-release/doi-P9Z362BC/data/Lee_2023.zip

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/Lee_PCOI_line_metadata.html>