HyCReWW database: A hybrid coral reef wave and water level metamodel

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Frequently anticipated questions:


What does this data set describe?

Title:
HyCReWW database: A hybrid coral reef wave and water level metamodel
Abstract:
We developed the HyCReWW metamodel to predict wave run-up under a wide range of coral reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset and Radial Basis Functions implemented in Matlab were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic coral reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.
These data accompany the following publication: Rueda, A., Cagigal, L., Pearson, S., Antolinez J.A.A., Storlazzi, C., van Dongeren, A., Camus, P., Mendez, F.J., 2019, HyCReWW: A hybrid coral reef waves and water level metamodel: Computers & Geosciences, https://doi.org/10.1016/j.cageo.2019.03.004.
Supplemental_Information:
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  1. How might this data set be cited?
    Rueda, Ana, Cagigal, Laura, Pearson, Stuart, Antolinez, Jose AA, Storlazzi, Curt D, Ap R van Dongeren, Camus, Paula, and Mendez, Fernando J, 2019, HyCReWW database: A hybrid coral reef wave and water level metamodel: data release DOI:10.5066/F7SX6CFQ, 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: 2018
    Currentness_Reference:
    publication date
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: Matlab 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 area.
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    Matlab 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)
    • Ana Rueda
    • Laura Cagigal
    • Stuart Pearson
    • Jose AA Antolinez
    • Curt D Storlazzi
    • Ap R van Dongeren
    • Paula Camus
    • Fernando J Mendez
  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. We created a metamodel ("HyCReWW") that estimates how different wave, water level, and reef combinations can lead to flooding. HyCReWW can be used to make short-term predictions of flooding in early warning systems, or long-term predictions of how climate change will affect flooding caused by waves on coral reef-lined coasts.

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: 2018 (process 1 of 1)
    The following steps were used in development of the model. For an in-depth discussion of processing, see Rueda and others (2019). 1. Select the response variable, in this case run-up as a proxy of coastal flooding, from the synthetic database of Xbeach Non-Hydrostatic (XBNH) model runs by Pearson and others (2017).
    2. Apply Radial Basis Functions (RBFs) to the large synthetic database of run-up as a function of extrinsic forcings and intrinsic coral reef geomorphologies.
    3. Validate the predictions of the developed metamodel (HyCReWW) by means of a k-fold validation and available field observations.
  3. What similar or related data should the user be aware of?
    S.G., Pearson, Storlazzi, C.D., van Dongeren, A.R., Tissier, M.F.S., and Reniers, A.J.H.M., 2017, A Bayesian‐based system to assess wave‐driven flooding hazards on coral reef‐lined coasts: Journal article JGR Oceans, American Geophysical Union (AGU), Washington D.C., USA.

    Online Links:

    Rueda, Ana, Cagigal, Laura, Pearson, Stuart, Antolinez, Jose AA, Storlazzi, Curt, Ap R van Dongeren, Camus, Paula, and Mendez, Fernando J, 2019, HyCReWW: A hybrid coral reef waves and water level metamodel: Journal article Computers & Geosciences, Elsevier, Amsterdam, The Netherlands.

    Online Links:


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

  1. How well have the observations been checked?
    See Rueda and others (2019) 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 applicable.
  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 Rueda and others (2019) 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 Universidad de Cantabria, Deltares, TU Delft, the U.S. Geological Survey, and IH Cantabria 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 Matlab 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: 18-Mar-2019
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/HyCreWW_code_metadata.faq.html>
Generated by mp version 2.9.49 on Fri Mar 22 11:13:47 2019