Coral reef profiles for wave-runup prediction

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Frequently anticipated questions:

What does this data set describe?

Title: Coral reef profiles for wave-runup prediction
Abstract:
This data release includes representative cluster profiles (RCPs) from a large (>24,000) selection of coral reef topobathymetric cross-shore profiles (Scott and others, 2020). We used statistics, machine learning, and numerical modelling to develop the set of RCPs, which can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe. In two stages, the data were reduced by clustering cross-shore profiles based on morphology and hydrodynamic response to typical wind and swell wave conditions. By representing a large variety of coral reef morphologies with a reduced number of RCPs, a computationally feasible number of numerical model simulations can be done to obtain wave-runup estimates. The RCPs identified here can be combined with probabilistic tools that can provide an enhanced prediction given a multivariate wave and water level climate and reef ecology state.
These data accompany the following publication: Scott, F., Antolinez, J.A., McCall, R.T., Storlazzi, C.D., Reniers, A., and Pearson, S., 2020, Hydro-morphological characterization of coral reefs for wave runup prediction: Frontiers in Marine Science, https://doi.org/10.3389/fmars.2020.000361.
  1. How might this data set be cited?
    Scott, Fred, Antolinez, Jose A., McCall, Robert T., Storlazzi, Curt D., Reniers, Ad, and Pearson, Stuart, 20200429, Coral reef profiles for wave-runup prediction: data release DOI:10.5066/P9C39WNE, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -180.00000000
    East_Bounding_Coordinate: 180.00000000
    North_Bounding_Coordinate: 90.00000000
    South_Bounding_Coordinate: -90.00000000
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 2020
    Currentness_Reference:
    publication date
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: NetCDF files
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference:
      The model results presented are not for a particular geographic areas.
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    NetCDF files are self-contained and attribute information may be found in the header of the file itself.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. 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)
    • Fred Scott
    • Jose A. Antolinez
    • Robert T. McCall
    • Curt D. Storlazzi
    • Ad Reniers
    • Stuart Pearson
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

Low-lying tropical coasts fronted by coral reefs are threatened by the effects of climate change, sea-level rise, and flooding caused by waves. However, the reefs on these coasts differ widely in their shape, size, and physical characteristics; the wave and water level conditions affecting these coastlines also vary in space and time. These factors make it difficult to predict flooding caused by waves along coral reef-lined coasts. Here we use a large (>24,000) dataset of measured coral reef topobathymetric cross-shore profiles, statistics, machine learning, and numerical modelling to develop a set of representative cluster profiles (RCPs) that can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe. Such a tool can be used for longer term assessments of climate change impact assessments and effectiveness of reef restoration projects, as well as for the provision of coastal flood potential predictions in a simplified (global) early warning system.
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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: 2020 (process 1 of 4)
    A large (>24,000) dataset of measured coral reef topobathymetric cross-shore profiles was reduced by clustering cross-shore profiles based on morphology and hydrodynamic response to typical wind and swell wave conditions. For an in-depth discussion of processing, see Scott and others (2020).
    Date: 28-Jul-2020 (process 2 of 4)
    Corrected doi link in one of the cross-references. No data were changed. (scochran@usgs.gov)
    Date: 19-Oct-2020 (process 3 of 4)
    Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. 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
    Date: 13-Oct-2021 (process 4 of 4)
    Performed minor edits to the metadata to correct typos. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Susan A. Cochran
    Geologist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7545 (voice)
    scochran@usgs.gov
  3. What similar or related data should the user be aware of?
    Scott, Fred, Antolinez, Jose A., McCall, Robert T., Storlazzi, Curt D., Reniers, Ad, and Pearson, Stuart, 2020, Hydro-morphological characterization of coral reefs for wave runup prediction: Journal article Frontiers in Marine Science, doi: 10.3389/fmars.2020.00361, Frontiers in Marine Science, Washington, DC.

    Online Links:

    Gibbs, A.E., Cole, A.D., Lowe, E., Reguero, B.G., and Storlazzi, C.D., 2019, Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods, with and without coral reefs, for the States of Hawaii and Florida, the Territories of Guam, American Samoa, Puerto Rico, and the U.S. Virgin Islands, and the Commonwealth of the Northern Mariana Islands: data release doi: 10.5066/P9KMH2VX, U.S. Geological Survey, Santa Cruz, Calif..

    Online Links:

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

  1. How well have the observations been checked?
    See Scott and others (2020) for an in-depth discussion of accuracy.
  2. How accurate are the geographic locations?
    No formal positional accuracy tests were conducted, nor are they applicable
  3. How accurate are the heights or depths?
    No formal positional accuracy tests were conducted, nor are they applicaple
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented, as described in the abstract. 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?
    No formal logical accuracy tests were conducted. See Scott and others (2020) for additional information.

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:
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge Deltares, the U.S. Geological Survey, and TU Delft as the originators of the dataset and in products derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? Downloadable data in NetCDF format.
  3. What legal disclaimers am I supposed to read?
    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 on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2021
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P9C39WNE/ReefProfile_Database_metadata.faq.html>
Generated by mp version 2.9.50 on Thu Oct 14 14:47:22 2021