Salinity_all_tropical_SLR: Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: model input and results

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Frequently anticipated questions:

What does this data set describe?

Title:
Salinity_all_tropical_SLR: Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: model input and results
Abstract:
Using version 20.1_19 of the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM) (Kubatko and others, 2006), astronomic tides and salinity transport were simulated at Grand Bay, Alabama (AL), under scenarios of interior headland restoration and sea level rise, as described in Passeri and others (2023). The two-dimensional DG-SWEM model can be applied to coastal and estuarine systems to solve for time-dependent hydrodynamic circulation and salinity transport. The DG-SWEM model uses the ADCIRC framework (Luettich and others, 1992) and requires inputs of an unstructured finite element mesh. For this study, the mesh domain has an open ocean boundary in the Gulf of Mexico and has higher spatial resolution elements (20 - 100 meters (m)) along the Mississippi and Alabama coast. The model mesh coordinates (latitude and longitude) and simulated average salinity concentrations are included in this data release. For further information regarding model input generation and visualization of model output, refer to Passeri and others (2023).
  1. How might this data set be cited?
    Passeri, Davina L., and Jenkins, Robert L. III, 20230601, Salinity_all_tropical_SLR: Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: model input and results:.

    This is part of the following larger work.

    Passeri, Davina L., and Jenkins, Robert L. III, 20230601, Modeling the Effects of Large-scale Interior Headland Restoration on Tidal Hydrodynamics and Salinity Transport in an Open Coast, Marine-dominant Estuary: Model Input and Results: U.S. Geological Survey data release doi:10.5066/P9OO9N0O, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.8623
    East_Bounding_Coordinate: -87.7392
    North_Bounding_Coordinate: 30.6828
    South_Bounding_Coordinate: 29.8247
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 01-Jun-2023
    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 490085 x 1 x 1, type Grid Cell
    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 0.0197905613. Longitudes are given to the nearest 0.0226048392. Latitude and longitude values are specified in Decimal degrees. 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: 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 (version CF-1.6) in the header of the NetCDF file 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)
    • Davina L. Passeri
    • Robert L. Jenkins III
  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 Region
    Attn: Davina Passeri
    Research Oceanographer
    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 to examine the effects of interior headland restoration on astronomic tides and salinity transport in Grand Bay, AL. Salinity_all_tropical_SLR.zip is a dataset consisting of Federal Geographic Data Committee (FGDC) metadata and a Network Common Data Form (NetCDF) file containing the following variables: coordinates of the model mesh (longitude and latitude) and the average salinity concentration, on the practical salinity scale (pss), for the all alternatives (Grand Batture Island, Marsh Island and Isle aux Dames restoration) tropical season scenario with sea level rise (SLR).

How was the data set created?

  1. From what previous works were the data drawn?
    DG-SWEM (source 1 of 2)
    Kubatko, E.J., Westerink, J.J., and Dawson, C., 20061201, hp Discontinuous Galerkin methods for advection dominated problems in shallow water flow: Computer Methods in Applied Mechanics and Egnineering Volume 196, Issues 1-3, pg. 437-451.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Two-dimensional model code used to solve for time-dependent hydrodynamic circulation and salinity transport.
    tide inputs (source 2 of 2)
    Passeri, D.L., Jenkins III, R.L., Poisson, A., Bilskie, M.V., and Bacopoulos, P., 2023, Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: Frontiers in Marine Science Unknown.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Initial model unstructured finite element mesh, inputs and boundary conditions.
  2. How were the data generated, processed, and modified?
    Date: 2022 (process 1 of 1)
    DG-SWEM with tide inputs was used to simulate astronomic tides in the Grand Bay, AL region. Model setup and boundary conditions are outlined in Passeri and others (2023). This dataset provides the average salinity concentrations for the all alternatives tropical scenario with sea level rise. Values of -99999 indicate no data. The average salinity concentrations were then packaged into a NetCDF file (.nc) using the functions available in Mathworks MATLAB (R2017a) for inclusion in this data release. Person who carried out this activity:
    Davina Passeri
    U.S. Geological Survey
    Research Oceanographer
    600 4th Street S
    St. Petersburg, FL
    USA

    (727)-502-8014 (voice)
    (727)-502-8001 (FAX)
    dpasseri@usgs.gov
  3. What similar or related data should the user be aware of?
    Luettich, Jr., R.A., Westerink, J.J., and Scheffner, N.W., 19921101, ADCIRC: An advanced three-dimensional circulation model for shelves, coasts and estuaries, Report I: Theory and methodology of ADCIRC-2DDI and ADCIRC-3DL: U.S. Army Corps of Engineers, Washington, DC.

    Online Links:

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?
    This dataset contains the model geospatial information and average salinity concentrations for the all alternatives tropical scenario with sea level rise. Within the ADCIRC model, the coordinates are provided in decimal degrees using the North American Datum of 1983 (NAD83) geographic coordinate system; average salinity concentrations are provided on the practical salinity scale (pss).
  3. How accurate are the heights or depths?
    The vertical datum used for the elevation data is 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 average salinity concentrations for the all alternatives tropical scenario with sea level rise. 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 average salinity concentrations are supplied at each node of the unstructured finite element model mesh and serve as an output for the all alternatives tropical scenario with sea level rise.

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 Region
    Attn: Davina Passeri
    Research Oceanographer
    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? Salinity_all_tropical_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: Salinity_all_tropical_SLR.nc is a NetCDF file that contains the coordinates of the model mesh (longitude and latitude, in decimal degrees) and simulated average salinity concentration on the practical salinity scale (pss) for the all alternatives tropical scenario with sea level rise. in format NetCDF (version 4.3.3.1)
      Network links: https://coastal.er.usgs.gov/data-release/doi-P9OO9N0O/data/Salinity_all_tropical_SLR.zip
    • Cost to order the data: None.

Who wrote the metadata?

Dates:
Last modified: 01-Jun-2023
Metadata author:
Davina Passeri
U.S. Geological Survey, USGS Southeast Area
Research Oceanographer
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/Salinity_all_tropical_SLR_metadata.faq.html>
Generated by mp version 2.9.51 on Fri Jun 2 10:09:35 2023