Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Low Sea Level Rise (SLR) Scenario

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Frequently anticipated questions:

What does this data set describe?

Title:
Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Low Sea Level Rise (SLR) Scenario
Abstract:
Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and others, 2018. The XBeach model setup requires the input of a merged topographic and bathymetric digital elevation model (DEM), and inputs of wave spectra (based on significant wave height, peak wave period and wave direction) and water level (tide and surge) time series. Model inputs and outputs in the form of topography and bathymetry are provided in this data release. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Passeri and others, 2018.
  1. How might this data set be cited?
    Passeri, Davina L., Bilskie, Matthew V., Plant, Nathaniel G., Long, Joseph W., and Hagen, Scott C., 20180716, Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Low Sea Level Rise (SLR) Scenario: U.S. Geological Survey Data Release doi:10.5066/F7N87930, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.8654564994
    East_Bounding_Coordinate: -88.7366845091
    North_Bounding_Coordinate: 30.0633577357
    South_Bounding_Coordinate: 29.7867685543
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 16-Jul-2018
    Currentness_Reference:
    publication date
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference: Gulf of Mexico
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 1296 x 1301 x 1, type Grid Cell
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 16
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -87.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000
      Planar coordinates are encoded using Row and Column
      Abscissae (x-coordinates) are specified to the nearest 1
      Ordinates (y-coordinates) are specified to the nearest 1
      Planar coordinates are specified in meters
      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodectic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.25722210100002.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North American Vertical Datum of 1988
      Altitude_Resolution: 0.0001
      Altitude_Distance_Units: meter
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    The Climate and Forecast (CF)-compliant metadata in the header of the NetCDF file provides spatial information for projecting the data into a GIS. It also provides information about the conventions used for attributes in the dataset.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information was generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Davina L. Passeri
    • Matthew V. Bilskie
    • Nathaniel G. Plant
    • Joseph W. Long
    • Scott C. Hagen
  2. Who also contributed to the data set?
    U.S. Geological Survey
  3. To whom should users address questions about the data?
    U.S. Geological Survey, USGS Southeast Area
    Attn: Davina Passeri
    Research Civil Engineer
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8014 (voice)
    727-502-8001 (FAX)
    dpasseri@usgs.gov

Why was the data set created?

These data were generated for the XBeach model to examine the effects of storm surge under sea level rise on barrier island morphology. Ivan_Low_SLR.zip is a dataset that consists of Federal Geographic Data Committee (FGDC) metadata and a Network Common Data Form (NetCDF) file containing the following variables: coordinates of the model grid (Easting and Northing) and the final bathymetric/topographic (z) model elevation values, in meters, for the Hurricane Ivan low sea level rise scenario.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2017 (process 1 of 3)
    The XBeach model simulates morphologic change that results from hydrodynamic impacts and sediment transport. Model setup is outlined in Passeri and others, 2018. Boundary conditions in the form of water level and wave spectra were extracted from Bilskie and others, 2016. Simulated model topographic and bathymetric elevations are output at the end of each scenario. Person who carried out this activity:
    Davina Passeri
    U.S. Geological Survey
    Research Civil Engineer
    600 4th Street S
    St. Petersburg, FL
    USA

    (727)-502-8014 (voice)
    (727)-502-8001 (FAX)
    dpasseri@usgs.gov
    Date: 2017 (process 2 of 3)
    Model bathymetric and topographic output was extracted in Mathworks MATLAB (R2015a) with functions included in the OpenEarth toolbox (provided by Deltares; https://publicwiki.deltares.nl/display/OET/Tools). The resulting bathymetric and topographic elevations from the model grid were then packaged into a NetCDF file using the functions available in MATLAB for inclusion in this data release. Person who carried out this activity:
    Davina Passeri
    U.S. Geological Survey
    Research Civil Engineer
    600 4th Street S
    St. Petersburg, FL
    USA

    (727)-502-8014 (voice)
    (727)-502-8001 (FAX)
    dpasseri@usgs.gov
    Date: 13-Oct-2020 (process 3 of 3)
    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?
    Roelvink, D., Reniers, A., van Dongeren, A., van Thiel de Vries, J., McCall, R., and Lescinski, J., 20090915, Modeling storm impacts on beaches, dunes and barrier islands: Coastal Engineering Volume 56, Issues 11-12, November-December 2009, pg. 1133-1152.

    Online Links:

    Passeri, D.L., Bilskie, M.V., Plant, N.G., Long, J.W., and Hagen, S.C., 20180712, Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise: Climatic Change - Springer Netherlands, Dordrecht, Netherlands.

    Online Links:

    Bilskie, M.V., Hagen, S.C., Alizad, K., Medeiros, S.C., Passeri, D.L., Needham, H.F., and Cox, A.T., 20160509, Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico: Earth's Future Volume 4, Issue 5, May 2016, pg. 177-193.

    Online Links:

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

  1. How well have the observations been checked?
    Anomalies in the resultant DEM may be seen in the form of lines/dots in Little Dauphin Island Bay and Graveline Bay. These are likely a result of the inability of XBeach to accurately calculate flow and sediment transport in areas with complex shorelines that are oriented perpendicular to the offshore boundary as well as in low elevation marshes. For this reason, these areas are not included in the analysis.
  2. How accurate are the geographic locations?
    This DEM contains the resultant model topographic and bathymetric elevations from the Hurricane Ivan low sea level rise simulation. Within the XBeach model, the coordinates are in Universal Transverse Mercator (UTM).
  3. How accurate are the heights or depths?
    Vertical datum is in North American Vertical Datum of 1988 (NAVD88) with an estimated resolution of 0.01 m.
  4. Where are the gaps in the data? What is missing?
    This DEM contains the complete resultant model grid elevations from the Hurricane Ivan low sea level rise scenario. This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    The resultant DEM from the Hurricane Ivan low sea level rise scenario contains topographic and bathymetric elevations at each model grid cell.

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. Please recognize the U.S. Geological Survey as the originator of the dataset.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, USGS Southeast Area
    Attn: Davina Passeri
    Research Civil Engineer
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8014 (voice)
    727-502-8001 (FAX)
    dpasseri@usgs.gov
  2. What's the catalog number I need to order this data set? Ivan_Low_SLR.nc
  3. What legal disclaimers am I supposed to read?
    This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: Ivan_Low_SLR.nc is a NetCDF file that contains the resultant topographic and bathymetric elevations and coordinate information, in meters from the Hurricane Ivan low sea level rise scenario. in format NetCDF (version 4.3.3.1)
      Network links: https://coastal.er.usgs.gov/data-release/doi-F7N87930/data/Ivan_Low_SLR.zip
    • Cost to order the data: None.

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
Davina Passeri
U.S. Geological Survey, USGS Southeast Area
Research Civil Engineer
600 4th Street South
St. Petersburg, FL
US

727-502-8014 (voice)
727-502-8001 (FAX)
dpasseri@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Ivan_Low_SLR_metadata.faq.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:18:50 2021