Tropical Storm Bill Assessment of Potential Coastal-Change Impacts: NHC Advisory 2, 0900 AM UTC MON JUN 16 2015

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Frequently anticipated questions:

What does this data set describe?

Title:
Tropical Storm Bill Assessment of Potential Coastal-Change Impacts: NHC Advisory 2, 0900 AM UTC MON JUN 16 2015
Abstract:
This dataset defines storm-induced coastal erosion hazards for the Texas and Louisiana 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 Bill in June 2015. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of the three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset.
  1. How might this data set be cited?
    Doran, Kara S., Stockdon, Hilary F., Birchler, Justin J., and Schreppel, Heather A., 20190619, Tropical Storm Bill Assessment of Potential Coastal-Change Impacts: NHC Advisory 2, 0900 AM UTC MON JUN 16 2015: U.S. Geological Survey Data Release doi:10.5066/P9Z362BC, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

    This is part of the following larger work.

    U.S. Geological Survey, 2019, USGS Coastal Change Hazards Portal.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -97.379237
    East_Bounding_Coordinate: -93.000345
    North_Bounding_Coordinate: 29.776967
    South_Bounding_Coordinate: 26.063933
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 16-Jun-2015
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • String (683)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 8.9831528411952133e-009. Longitudes are given to the nearest 8.9831528411952133e-009. Latitude and longitude values are specified in Decimal Degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    Bill_PCOI_line
    Probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data (Source: USGS)
    FID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    DHIGH
    Elevation of dune crest, in meters, using the North American Vertical Datum of 1988 (NAVD88). Extracted from lidar surveys collected from September 2005 to September 2008. (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.954635
    Maximum:8.881488
    Units:meters NAVD88
    DLOW
    Elevation of the dune toe, in meters NAVD88. Extracted from lidar surveys collected September 2005 to September 2008. (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.437331
    Maximum:3.894452
    Units:meters NAVD88
    DHIrms
    Root mean squared error of dune crest elevation measurements (square meters). (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.179675
    Maximum:1.671541
    Units:square meters
    DLOrms
    Root mean square error of dune toe elevation measurements (square meters). (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0
    Maximum:1.6567
    Units:square meters
    SURGE
    Storm surge water level (Source: NOAA)
    Range of values
    Minimum:1.210064
    Maximum:2.396934
    Units:meters NAVD88
    RUNUP
    Wave runup water level (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.528248
    Maximum:4.41033
    Units:meters NAVD88
    SETUP
    Wave setup water level (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.016922
    Maximum:1.87797
    Units:meters NAVD88
    PCOL
    Probability of collision (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:4.740512
    Maximum:100
    Units:percent
    POVW
    Probability of overwash (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0.000234
    Maximum:99.999808
    Units:percent
    PIND
    Probability of inundation (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:0
    Maximum:99.999556
    Units:percent
    MEAN
    Mean water level (surge + setup) (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:1.329237
    Maximum:3.654396
    Units:meters NAVD88
    EXTREME
    Extreme water level (surge + runup). (Source: USGS)
    ValueDefinition
    -999Null value
    Range of values
    Minimum:1.771
    Maximum:6.186756
    Units:meters NAVD88
    TIDE
    Predicted tide water level (Source: USGS)
    Range of values
    Minimum:0
    Maximum:0
    Units:meters NAVD88

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Kara S. Doran
    • Hilary F. Stockdon
    • Justin J. Birchler
    • Heather A. Schreppel
  2. Who also contributed to the data set?
    The predicted elevations of storm surge were extracted from the National Oceanic and Atmospheric Administration's (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.
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Hilary Stockdon
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8074 (voice)
    727-502-8182 (FAX)
    hstockdon@usgs.gov

Why was the data set created?

To provide data on the probability of hurricane-induced coastal erosion hazards for the Texas and Louisiana coast post-Tropical Storm Bill.

How was the data set created?

  1. From what previous works were the data drawn?
    MOMS (source 1 of 5)
    National Hurricane Center, National Oceanic and Atmospheric Administration, 20150616, Sea, Lake, and Overland Surges from Hurricanes model, maximum of the maximum.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Data provides water levels that are expected under worst-case scenario conditions at all locations for a storm of specified category.
    WW3 (source 2 of 5)
    NOAA National Weather Service Environmental Modeling Center, 20150616, NOAA Wavewatch III.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Model that was used to estimate wave setup and runup conditions for Tropical Storm Bill.
    DS 720 (source 3 of 5)
    Bonisteel-Cormier, J.M., 20130719, EAARL Coastal Topography and Imagery-Western Louisiana, Post-Hurricane Rita, 2005: First Surface: U.S. Geological Survey Data Series 720.

    Online Links:

    Other_Citation_Details: Geographic Coverage: LA (TX/LA border to Marsh Island)
    Type_of_Source_Media: Online digital data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.
    USGS East Texas (source 4 of 5)
    USGS, Unpublished material, Topographic Lidar Texas: Galveston to LA border.

    Other_Citation_Details: Geographic Coverage: TX (Galveston to TX/LA border)
    Type_of_Source_Media: unpublished data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.
    OFR 2007-1431 (source 5 of 5)
    Brock, J.C., 200712, EAARL Topography-Padre Island National Seashore: Open-File Report 2007-1431.

    Online Links:

    Other_Citation_Details: Geographic Coverage: TX (MX/TX border to Galveston Island)
    Type_of_Source_Media: Online digital data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.
  2. How were the data generated, processed, and modified?
    Date: 2015 (process 1 of 4)
    Process_Description: For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB (version 2017a) 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 1 km sections. Sections with greater than 75 percent of data missing were flagged with the invalid number of -999. The 1-km 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. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Kara S. Doran
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8117 (voice)
    727-502-8182 (FAX)
    kdoran@usgs.gov
    Data sources used in this process:
    • DS 720
    • USGS East Texas
    • OFR 2007-1431
    Data sources produced in this process:
    • Dune morphology (DHIGH, DLOW, DHIrms, DLOrms)
    Date: 16-Jun-2015 (process 2 of 4)
    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 Wavewatch III model. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS shapefile format. For details on modeling parameterization, see:Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. https://doi.org/10.3133/ofr20121084 Person who carried out this activity:
    U.S. Geological Survey
    Attn: Justin J. Birchler
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8019 (voice)
    727-502-8182 (FAX)
    jbirchler@usgs.gov
    Data sources used in this process:
    • MOMS
    • WW3
    Data sources produced in this process:
    • Hydrodynamics (SURGE, SETUP, RUNUP)
    Date: 2015 (process 3 of 4)
    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 1 km 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. Probabilities were calculated in MATLAB and exported using MATLAB's shapewrite.m script. For details on modeling parameterization, see: Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. https://doi.org/10.3133/ofr20121084 Person who carried out this activity:
    U.S. Geological Survey
    Attn: Justin J. Birchler
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8019 (voice)
    727-502-8182 (FAX)
    jbirchler@usgs.gov
    Data sources used in this process:
    • Dune morphology
    • Hydrodynamics
    Data sources produced in this process:
    • Probabilities (PCOL, POVW, PIND)
    Date: 13-Oct-2020 (process 4 of 4)
    Added keywords section with USGS persistent identifier as theme keyword. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
  2. How accurate are the geographic locations?
    Horizontal accuracy was not estimated.
  3. How accurate are the heights or depths?
    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.
  4. Where are the gaps in the data? What is missing?
    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 1-kilometer (km) segments.
  5. How consistent are the relationships among the observations, including topology?
    No additional checks for consistency were performed on this data.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey
    Attn: Justin J. Birchler
    600 4th Street South
    Saint Petersburg, FL

    727-502-8019 (voice)
    727-502-8182 (FAX)
    jbirchler@usgs.gov
  2. What's the catalog number I need to order this data set?
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
U.S. Geological Survey
Attn: Justin J. Birchler
600 4th Street South
Saint Petersburg, FL
UNITED STATES

727-502-8019 (voice)
727-502-8182 (FAX)
jbirchler@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Bill_PCOI_line_metadata.faq.html>
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