GrandBayModel_InputBathymetry: Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output

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Frequently anticipated questions:

What does this data set describe?

Title:
GrandBayModel_InputBathymetry: Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output
Abstract:
The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment concentrations (SSC), sediment fluxes, initial and final bed levels, and hydrodynamic data are included in this dataset. Model output from six scenarios (comprised of three restoration (R) alternatives and two sea level (SL) conditions) as forced by 18 climatological wind and wave forcing conditions are included in this data release (Jenkins and others, 2023a. For further information regarding model input generation, set up, and analysis, refer to Jenkins and others (2023b).
  1. How might this data set be cited?
    Jenkins, Robert L. III, Passeri, Davina L., Smith, Christopher G., and Thompson, David M., 20230810, GrandBayModel_InputBathymetry: Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output:.

    This is part of the following larger work.

    Jenkins, Robert L. III, Passeri, Davina L., Smith, Christopher G., and Thompson, David M., 20230810, Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output: U.S. Geological Survey data release doi:10.5066/P986ZR6B, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL.

    Online Links:

    Other_Citation_Details: 2023a
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.7000
    East_Bounding_Coordinate: -87.7000
    North_Bounding_Coordinate: 30.5000
    South_Bounding_Coordinate: 30.0000
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 01-Jan-2020
    Ending_Date: 01-Jan-2021
    Currentness_Reference:
    model simulation
  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?
    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 5
      Ordinates (y-coordinates) are specified to the nearest 5
      Planar coordinates are specified in meters
      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic 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: 0.01
      Altitude_Distance_Units: meters
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    GrandBay_InitialDEMs.zip
    Zipped file containing the NetCDF files (.nc) of the processed model elevations of Grand Bay in present conditions (no action), inclusion of restored Grand Batture Island only, and all restored islands (Grand Batture, Isle Aux Dames, and Marsh Island). (Source: GrandBay_InitialDEM_AllIslands.nc, GrandBay_InitialDEM_GrandBattureOnly.nc, and GrandBay_InitialDEM_noAction.nc)
    Entity_and_Attribute_Overview:
    The Climate and Forecast (CF)-compliant metadata (version CF-1.6) in the header of the NetCDF files provides spatial information for projecting the data into a geographic information system (GIS). It also provides information about the conventions used for attributes in the dataset.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were 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)
    • Robert L. Jenkins III
    • Davina L. Passeri
    • Christopher G. Smith
    • David M. Thompson
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    Robert L Jenkins
    U.S. Geological Survey, SOUTHEAST REGION
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8138 (voice)
    727-502-8182 (FAX)
    rljenkins@usgs.gov

Why was the data set created?

The Delft3D was used to assess effects of interior headland restoration. Appropriate use of this data includes the assessment of morphological, sediment process, and hydrodynamic differences due to the placement of restored features and sea level for the Grand Bay estuary. TheGrandBayModel_InitialDEMs.zip is a dataset that consists of Federal Geographic Data Committee (FGDC) metadata (.txt and .xml) and Network Common Data Form (NetCDF, .nc) files containing the following variables: coordinates of the model grid (Easting and Northing) and the initial bathymetric/topographic (z) model elevation values, in meters (positive down). These files represent the initial digital elevation models (DEMs) in present conditions (no action) at Grand Bay, with inclusion of restored Grand Batture Island only, and all restored islands (Grand Batture, Isle Aux Dames, and Marsh Island).

How was the data set created?

  1. From what previous works were the data drawn?
    GB-TOPO (source 1 of 7)
    Danielson, J. J., Brock, J.C., Howard, D.M., Gesch, D.B., Bonisteel-Cormier, J.M., and Travers, L.J., 2013, Topobathymetric model of Mobile Bay, Alabama: U.S. Geological Survey Data Series 769.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Digital elevation model of Alabama region used in DEM generation
    AL-TOPO (source 2 of 7)
    National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (NGDC), 20091130, Mobile, Alabama 1/3 MHW coastal digital elevation model: NOAA National Centers for Environmental Information (NCEI), Online.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Digital elevation model of Alabama region used in DEM generation
    GB-BEAM (source 3 of 7)
    DeWitt, N. T., Stalk, C. A., Smith, C. G., Locker, S. D., Fredericks, J. J., McCloskey, T. A., and Wheaton, C. J., 2017, Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi: U.S. Geological Survey Data Series 1070.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution: Single-beam bathymetry data used in DEM generation
    GB-PAC (source 4 of 7)
    Stalk, C. A., Wilcox, H. S., Passeri, D. L., Smith, C. G., Smith, K. E. L., and Terrano, J. F., 20210916, Single-beam bathymetry data collected in March 2021 from Grand Bay and Point Aux Chenes Bay, Mississippi/Alabama: U.S. Geological Survey data release doi:10.5066/P93ZM9MK.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution: Single-beam bathymetry data used in DEM generation
    LID-ADJ (source 5 of 7)
    Medeiros, S. C., Hagen, S. C., Weishampel, J. F. and Angelo, J., 20150325, Adjusting lidar-derived digital terrain models in coastal marshes based on estimated aboveground biomass density: Remote Sensing Volume 7(4).

    Online Links:

    Type_of_Source_Media: publication
    Source_Contribution:
    Methodology for adjusting Digital Elevation Model elevations where flora is present
    KA-DYN (source 6 of 7)
    Alizad, K., Hagen, S. C., Medeiros, S. C., Bilskie, M. V., Morris, J. T., Balthis, L., and Buckel, C. A., 20181228, Dynamic responses and implications to coastal wetlands and the surrounding regions under sea level rise: PLOS ONE Volume 13(12).

    Online Links:

    Type_of_Source_Media: publication
    Source_Contribution:
    Methodology for adjusting digital elevation model elevations to marsh accretion due to flora growth
    KA-MESO (source 7 of 7)
    Alizad, K., Medeiros, S. C., Foster-Martinez, M. R., and Hagen, S. C., 2020, Model sensitivity to topographic uncertainty in meso- and microtidal marshes: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Volume 13.

    Online Links:

    Type_of_Source_Media: publication
    Source_Contribution:
    Methodology for adjusting digital elevation model elevations where flora is present elevations to marsh accretion due to flora growth
  2. How were the data generated, processed, and modified?
    Date: 22-Feb-2023 (process 1 of 2)
    MathWorks MATLAB (R2015a) was used to combine Coastal National Elevation Database (CoNED) topo-bathymetric DEM for Mobile Bay (Danielson and others 2013) and the NOAA NGDC coastal DEM (NOAA NGDC, 2009). The NGDC coastal DEM covers the full extent of the modeling domain and was used primarily for offshore regions that were not included in the CoNED DEM, which contains more recent light detection and ranging (lidar) elevations in the coastal areas. Bathymetry in Grand Bay was updated with two DEMs derived from single-beam surveys in 2017 and 2021 (DeWitt and others, 2017; Stalk and others, 2021). To correct for known biases in lidar data within marshes, an elevation correction based on biomass density was used to lower the marsh platform in the DEM to more accurately capture wetting and drying in the model (Medeiros and others, 2015; Alizad and others, 2018; Alizad and others, 2020). Person who carried out this activity:
    Robert L Jenkins
    U.S. Geological Survey, SOUTHEAST REGION
    Physical Scientist
    600 4Th Street South
    St. Petersburg, FL
    US

    727-502-8138 (voice)
    727-502-8182 (FAX)
    rljenkins@usgs.gov
    Data sources used in this process:
    • GB-TOPO
    • AL-TOPO
    • GB-BEAM
    • GB-PAC
    • LID-ADJ
    • KA-DYN
    • KA-MESO
    Date: 22-Feb-2023 (process 2 of 2)
    Model grid point locations were extracted in MathWorks MATLAB (R2015a) with functions included in the OpenEarth toolbox (provided by Deltares; https://publicwiki.deltares.nl/display/OET/Tools). The resulting wave variables from the model elevations were then packaged into a NetCDF file using the functions available in MATLAB for inclusion in this data release. This step was completed for the three initial DEM data files: Grand Bay in present conditions (no action), inclusion of restored Grand Batture Island only, and all restored islands (Grand Batture, Isle Aux Dames, and Marsh Island) and were packaged into a zipped file. Please see the Resource_Description section for more information. Person who carried out this activity:
    Robert L Jenkins
    U.S. Geological Survey, SOUTHEAST REGION
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8138 (voice)
    727-502-8182 (FAX)
    rljenkins@usgs.gov
    Data sources produced in this process:
    • GrandBay_InitialDEMs.zip
  3. What similar or related data should the user be aware of?
    Jenkins, R.L., Passeri, D.P., Smith, C.G., Thompson, D.M., and Smith, K.E.L., 2023, Modeling the effects of interior headland restoration on estuarine sediment transport processes in a marine-dominant estuary: Frontiers in Marine Science Unknown.

    Online Links:

    Other_Citation_Details: 2023b

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

  1. How well have the observations been checked?
    Users are advised to read the rest of the metadata record carefully for additional details.
  2. How accurate are the geographic locations?
    Within the Delft3D model, the horizontal coordinates were projected to the North American Datum of 1983 (NAD83) Universal Transverse Mercator (UTM) Zone 16 North (16N) coordinate system with an estimated resolution of 5 m.
  3. How accurate are the heights or depths?
    Within the Delft3D model, the vertical positions were projected to the 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?
    These are the complete initial model grid elevations for the simulations of existing conditions. 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 existing initial elevations are topographic and bathymetric elevations at each model grid cell for existing conditions and serve as input for each of the simulations of existing conditions.

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, St. Petersburg Coastal and Marine Science Center as the originator of these data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    Robert L Jenkins
    U.S. Geological Survey, SOUTHEAST REGION
    Physical Scientist
    600 4Th Street South
    St. Petersburg, FL
    US

    727-502-8138 (voice)
    727-502-8182 (FAX)
    rljenkins@usgs.gov
  2. What's the catalog number I need to order this data set? GrandBay_InitialDEM_AllIslands.nc, GrandBay_InitialDEM_GrandBattureOnly.nc, and GrandBay_InitialDEM_noAction.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?

Who wrote the metadata?

Dates:
Last modified: 10-Aug-2023
Metadata author:
Robert L Jenkins
U.S. Geological Survey, SOUTHEAST REGION
Physical Scientist
600 4th Street South
St. Petersburg, FL
US

727-502-8138 (voice)
727-502-8182 (FAX)
rljenkins@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/GrandBayModel_InputBathymetry_metadata.faq.html>
Generated by mp version 2.9.51 on Wed Aug 16 13:01:43 2023