Hurricane Laura Assessment of Potential Coastal-Change Impacts: NHC Advisory 23, 25-Aug-2020 12:00:00

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Justin J. Birchler
Originator: Margaret L. Palmsten
Originator: Kara S. Doran
Publication_Date: 20260130
Title:
Hurricane Laura Assessment of Potential Coastal-Change Impacts: NHC Advisory 23, 25-Aug-2020 12:00:00
Geospatial_Data_Presentation_Form: vector digital data
Larger_Work_Citation:
Citation_Information:
Originator: Justin J. Birchler
Originator: Margaret L. Palmsten
Originator: Kara S. Doran
Publication_Date: 20260130
Title:
Storm-Induced Coastal Change Forecasts: Louisiana Hurricanes Laura and Delta 2020
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P148QCG4
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/P148QCG4
Description:
Abstract:
This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. 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. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).
Purpose:
To provide data on the probability of storm-induced coastal erosion hazards for the Texas, Louisiana, Mississippi, and Alabama coast for Hurricane Laura.
Supplemental_Information:
The following websites provide background information on USGS research topics that pertain to the data contained herein; Forecasting Coastal Change, https://www.usgs.gov/programs/cmhrp/science/forecasting-coastal-change and Storm-Induced Coastal Change, https://www.usgs.gov/centers/spcmsc/science/storm-induced-coastal-change.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20200825
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -95.802076
East_Bounding_Coordinate: -87.249230
North_Bounding_Coordinate: 30.325986
South_Bounding_Coordinate: 28.670949
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:0ecbc29e-cb6c-4538-abfd-86de9cf5f9c8
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: elevation
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: Global Change Master Science Directory (GCMD)
Theme_Keyword: EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme_Keyword: EARTH SCIENCE > OCEANS > COASTAL PROCESSES > BEACHES
Theme_Keyword:
PROVIDERS > GOVERNMENT AGENCIES-U.S. FEDERAL AGENCIES > DOI > USGS > DOI/USGS/CMG/SP > ST. PETERSBURG COASTAL AND MARINE SCIENCE CENTER, COASTAL AND MARINE GEOLOGY, U.S. GEOLOGICAL SURVEY, U.S. DEPARTMENT OF THE INTERIOR
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_Keyword: hurricanes
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
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 Laura
Place:
Place_Keyword_Thesaurus: Common geographic areas
Place_Keyword: United States
Place_Keyword: Texas
Place_Keyword: Louisiana
Place_Keyword: Mississippi
Place_Keyword: Alabama
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_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Justin J. Birchler
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: 727-502-8019
Contact_Facsimile_Telephone: 727-502-8182
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 Tropical 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:
Environment as of Metadata Creation: Microsoft Windows 11 23H2; MATLAB 2024a; Esri ArcGIS Pro 3.4.3
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: 20120501
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: 2012–1084
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20121084
Cross_Reference:
Citation_Information:
Originator: Doran, K.S.
Originator: Long, J.W.
Originator: Birchler, J.J.
Originator: Brenner, O.T.
Originator: Hardy, M.W.
Originator: Morgan, K.L.M.
Originator: Stockdon, H.F.
Originator: Loubriel Torres, M.
Publication_Date: 20170805
Title:
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
Edition: 7.0
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/F7GF0S0Z
Publication_Information:
Publication_Place: St. Petersburg, FL
Publisher:
U.S. Geological Survey – St. Petersburg Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/F7GF0S0Z
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 sections. Sections with greater than 75 percent of data missing were flagged with the invalid number of -999.
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 accuracy 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: 20200825
Title: Probabilistic Tropical Storm Surge
Online_Linkage: https://slosh.nws.noaa.gov/psurge/index.php
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20200825
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: P-Surge
Source_Contribution:
Storm surge model that was used to estimate surge-induced water levels at the shoreline within the next 80 hours.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA National Weather Service Environmental Modeling Center
Publication_Date: 20200825
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: 20200825
Source_Currentness_Reference: publication date
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: Quantum Spatial, Inc., United States Geological Survey (USGS)
Publication_Date: 20191011
Title: 2018 USGS Lidar: South Texas
Other_Citation_Details: Geographic Coverage: South Texas (through Matagorda Island)
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/57941
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20180113
Ending_Date: 20190223
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS TX 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), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)
Publication_Date: 20170913
Title: 2016 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL, MS, TX)
Other_Citation_Details: Geographic Coverage: TX
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/49738
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20160723
Ending_Date: 20161010
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USACE NCMP Gulf Coast 2016
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Woolpert, Inc., United States Geological Survey (USGS)
Publication_Date: 20171212
Title: 2017 USGS Lidar: Chenier Plain, LA
Other_Citation_Details: Geographic Coverage: LA Chenier Plain
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/53710
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20170108
Ending_Date: 20170303
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS LA 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, United States Geological Survey (USGS)
Publication_Date: 2020
Title: 2015 USGS Lidar: South Terrebonne and Gulf Islands, LA
Other_Citation_Details:
Geographic Coverage: LA (South Terrebonne, Gulf, Chandeleur Islands)
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/73667
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20150118
Ending_Date: 20150213
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS LA 2015
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Guy, K.K.
Originator: Doran, K.J.
Originator: Stockdon, H.F.
Originator: Plant, N.G.
Publication_Date: 20140602
Title:
Topographic Lidar Survey of the Alabama, Mississippi, and Southeast Louisiana Barrier Islands, from September 5 to October 11, 2012
Series_Information:
Series_Name: U.S. Geological Survey Data Series
Issue_Identification: 839
Other_Citation_Details: Geographic Coverage: LA (west coast islands)
Online_Linkage: https://doi.org/10.3133/ds839
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20120905
Ending_Date: 20121011
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS DS839 LA 2012
Source_Contribution:
A lidar survey that was used to estimate dune morphology variables.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Quantum Spatial, Inc., United States Geological Survey (USGS)
Publication_Date: 20190329
Title: 2018 USGS Topobathy Lidar: Gulf Coast Islands (AL, FL, LA)
Other_Citation_Details: Geographic Coverage: LA (Chandeleurs)
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/64345
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181027
Ending_Date: 20181103
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS LA 2018
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: 20181108
Title: 2018 USACE NCMP Topobathy Lidar: Gulf Coast (AL, MS)
Other_Citation_Details: Geographic Coverage: MS Islands
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/55844
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181116
Ending_Date: 20181118
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USACE NCMP MS 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), Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)
Publication_Date: 20210316
Title:
2020 USACE NCMP Post Sally Topobathy Lidar: Gulf Coast (AL, FL, MS)
Other_Citation_Details: Geographic Coverage: AL
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/64384/
Type_of_Source_Media: Online digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20200922
Ending_Date: 20201013
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USACE NCMP AL 2020
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 R2024a) 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 500-m 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. For further information regarding dune morphology observations see Doran and others (2017).
Source_Used_Citation_Abbreviation: USGS TX 2018
Source_Used_Citation_Abbreviation: USACE NCMP Gulf Coast 2016
Source_Used_Citation_Abbreviation: USGS LA 2017
Source_Used_Citation_Abbreviation: USGS LA 2015
Source_Used_Citation_Abbreviation: USGS DS839 LA 2012
Source_Used_Citation_Abbreviation: USGS LA 2018
Source_Used_Citation_Abbreviation: USACE NCMP MS 2018
Source_Used_Citation_Abbreviation: USACE NCMP AL 2020
Process_Date: 2020
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: Justin J. Birchler
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: 727-502-8019
Contact_Facsimile_Telephone: 727-502-8182
Contact_Electronic_Mail_Address: jbirchler@usgs.gov
Process_Step:
Process_Description:
For hydrodynamic data: Water level was computed in MATLAB by adding storm surge (SURGE) from the NOAA Probabilistic Tropical Storm Surge (P-Surge) model (https://slosh.nws.noaa.gov/psurge/index.php) to wave setup (SETUP) and runup (RUNUP). The mean water level (MEAN) is the sum of storm surge (SURGE) and wave setup (SETUP). The extreme water level (EXTREME) is the sum of storm surge (SURGE) and wave runup (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/). Hydrodynamics names were appended with the exceedance value for storm surge, using the format 'e10' for the 10% exceedance level. Exceedance levels present in this data release are 10, 20, 30, 40, 50, and 90%. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS shapefile (.shp) format. For details on modeling parameterization, see Stockdon and others (2012).
Source_Used_Citation_Abbreviation: P-Surge
Source_Used_Citation_Abbreviation: NWPS
Process_Date: 20200825
Source_Produced_Citation_Abbreviation: Hydrodynamics (SURGE, SETUP, RUNUP, MEAN, EXTREME)
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Justin J. Birchler
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: 727-502-8019
Contact_Facsimile_Telephone: 727-502-8182
Contact_Electronic_Mail_Address: jbirchler@usgs.gov
Process_Step:
Process_Description:
For probabilities of storm-induced erosion: 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 (MEAN) and extreme (EXTREME) water levels for each 500-m section, such that the probability of collision (PCOL) occurs when extreme water levels (EXTREME) reach the dune toe; overwash (POVW) when extreme water levels (EXTREME) reach the dune crest; and inundation (PIND) when mean water levels (MEAN) reach the dune crest. Probability variable names were appended with the exceedance value for storm surge, using the format 'e10' for the 10% exceedance level. Exceedance levels present in this data release are 10, 20, 30, 40, 50, and 90%. 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 (DHIGH, DLOW, DHIrms, DLOrms)
Source_Used_Citation_Abbreviation: Hydrodynamics (SURGE, SETUP, RUNUP, MEAN, EXTREME)
Process_Date: 20200825
Source_Produced_Citation_Abbreviation: Probabilities (PCOL, POVW, PIND)
Source_Produced_Citation_Abbreviation: Laura_2020082512_Adv23_PCOI_line.shp
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Justin J. Birchler
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: 727-502-8019
Contact_Facsimile_Telephone: 727-502-8182
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: 2210
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
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North American Vertical Datum 1988
Altitude_Resolution: 0.01
Altitude_Distance_Units: meters
Altitude_Encoding_Method: Attribute values
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: Laura_2020082512_Adv23_PCOI_line.shp
Entity_Type_Definition:
Shapefile of the probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data for Hurricane Laura for NHC Advisory 23, August 25, 2020, 1200 Coordinated Universal Time (UTC).
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; Polyline.
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 September 2012 to October 2020.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.5761
Range_Domain_Maximum: 8.5401
Attribute_Units_of_Measure: meters NAVD88
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 September 2012 to October 2020.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.64449
Range_Domain_Maximum: 3.1361
Attribute_Units_of_Measure: meters NAVD88
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: 0.011597
Range_Domain_Maximum: 3.1381
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: 0.018318
Range_Domain_Maximum: 0.970301
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: RUNUP
Attribute_Definition: Wave runup water level.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.79963
Range_Domain_Maximum: 5.7296
Attribute_Units_of_Measure: meters NAVD88
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.
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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
Country: United States
Contact_Voice_Telephone: 727-502-8000
Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
Resource_Description: Laura_2020082512_Adv23_PCOI_line.shp
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-P148QCG4/data/Laura_2020082512_Adv23.zip
Fees: None
Metadata_Reference_Information:
Metadata_Date: 20260129
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
Country: United States
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
Metadata_Time_Convention: local time
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Laura_2020082512_Adv23_metadata.html>
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