Spectral wave model input files

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Frequently anticipated questions:


What does this data set describe?

Title: Spectral wave model input files
Abstract:
A stand-alone wave model application was constructed using the spectral wave model SWAN within the Delft3D4 (version 4.04.01) modeling system to simulate nearshore wave dynamics along the coast of the Columbia River littoral cell, Washington and Oregon. Nearshore wave dynamics are solved at hourly intervals on a series of nested grids with resolutions varying between 750 m for the largest grid to about 80 m for the two detailed grids that cover the Grays Harbor and Columbia River inlets. The provided model input files are compressed into zip archives for each year of a hindcast simulation between August 2014 and September 2023. Additional input files are included that specify a second hindcast for the time period between July 2010 and August 2011.
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?
    Stevens, Andrew W., Parker, Kai A., and Vitousek, Sean, 20240815, Spectral wave model input files: data release DOI:10.5066/P1R9REKP, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Stevens, Andrew W., Parker, Kai A., and Vitousek, Sean, 2024, Modeled nearshore wave parameters along the Columbia River littoral cell, Washington and Oregon, 2010-2023: data release DOI:10.5066/P1R9REKP, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Other_Citation_Details:
    Suggested Citation: Stevens, A.W., Parker, K.A., Vitousek, S., 2024, Modeled nearshore wave parameters along the Columbia River littoral cell, Washington and Oregon, 2010-2023: U.S. Geological Survey data release, https://doi.org/10.5066/P1R9REKP.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -125.318227
    East_Bounding_Coordinate: -123.644232
    North_Bounding_Coordinate: 47.499469
    South_Bounding_Coordinate: 45.661607
  3. What does it look like?
    crlc_swan_hsig_example.png (PNG)
    Example output of a wave simulation showing spatial variations in wave height for, A, the overall model domain, B, the nested detailed grid for the Columbia River, and C, the nested detailed grid for Grays Harbor.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 11-Jul-2010
    Ending_Date: 31-Aug-2023
    Currentness_Reference:
    ground condition at time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: various
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference:
      Data were generated within a numerical model scheme. Refer to self-contained NetCDF files for location information.
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 10
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -123.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 83.3
      Ordinates (y-coordinates) are specified to the nearest 83.3
      Planar coordinates are specified in Meter
      The horizontal datum used is D_North_American_1983.
      The ellipsoid used is GRS_1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
      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:
      Explicit elevation coordinate included with horizontal coordinates
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    Model inputs for SWAN spectral wave model of the of the Columbia River littoral cell run using the Delft3D4 modeling system. Delft3D4 can be obtained from: https://oss.deltares.nl/. The model input files are compressed into zip archives for each year of the hindcast simulation between 2014 and 2023, "crlc_swan_XXXX.zip", where XXXX denotes the year. Additional input files are included in the .zip archive, "crlc_swan_swldr.zip", that specify a second hindcast for the time period between July 2010 and August 2011.
    Entity_and_Attribute_Detail_Citation:
    See Deltares (2024) for descriptions of the formats and entity information for files contained in the .zip archive.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Andrew W. Stevens
    • Kai A. Parker
    • Sean Vitousek
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    PCMSC Science Data Coordinator
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    2885 Mission Street
    Santa Cruz, CA
    USA

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

Why was the data set created?

The wave model application was constructed to investigate spatial and temporal variability in nearshore wave dynamics along the Columbia River littoral cell. The purpose of this data release is to provide researchers, engineers, and other potential users with model input files that can be used to run the SWAN wave model using the Delft3D4 modeling system.

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: 05-Jan-2018 (process 1 of 3)
    The spectral wave model SWAN was applied using the Delft3D-Wave modeling system (Deltares, 2024) to simulate wave transformation and dynamics from offshore of the continental shelf to the coastline. The model application consisted of nested grids with resolutions varying between 750 m for the largest grid to about 80 m for the two detailed grids that cover the Grays Harbor and Columbia River inlets. Model bathymetry was derived from recent data sets collected by the USGS, NOAA, and USACE between 2004 and 2020 as described in Stevens and others (2020). Wave energy was discretized into 24 frequency bins between 0.03 and 1 Hz and 72 directional bins. The model was forced on the open lateral boundaries with bulk wave parameters obtained from the ERA5 reanalysis (Herschbach and others, 2023) and on the free surface with space- and time-varying wind vectors from the High Resolution Rapid Refresh (Dowell and others, 2022) operational forecast model with roughly 3 km spatial resolution. Wind growth and white-capping were based on Komen (1984). The JONSWAP bottom friction model with a coefficient of 0.038 m2s-3 and wave breaking based on Battjes and Jannsen (1978) with default settings (alpha = 1, gamma =0.73) were used. SWAN was run as a stand-alone wave model neglecting the effects of wave current interaction. Convergence criteria were set to 98 percent of cells and a maximum of 15 iterations during the simulations.
    Date: 26-Feb-2024 (process 2 of 3)
    The forcing conditions were updated and wave dynamics were solved within the model domains at 1-hr intervals in stationary mode between 2014 and 2023. A second hindcast was run between July 2010 to September 2011 to simulate seasonal variations in wave climate during the Southwest Washington Littoral Drift Restoration (SWLDR) beach nourishment and monitoring study (Stevens and others, 2012). The HRRR wind forcing was not available for this time period, so an alternative downscaled wind product was used (CONUS404, Rasmussen and others, 2023). CONUS404 is a high-resolution meteorological reanalysis created by downscaling ERA5 data to a 4-km spatial resolution over the continental United States using the Weather Research and Forecasting (WRF) Model.
    Date: 30-Apr-2024 (process 3 of 3)
    Files needed to run the SWAN wave models using the Delft3D4 modeling system were compiled into compressed archives for distribution.
  3. What similar or related data should the user be aware of?
    Deltares, 2024, Delft3D-FLOW User Manual (version 4.05): Deltares, Delft, Netherlands.

    Online Links:

    Hersbach, Hans, Bell, Bill, Berrisford, Paul, Hirahara, Shoji, Horányi, András, Muñoz-Sabater, Joaquín, Nicolas, Julien, Peubey, Carole, Radu, Raluca, Schepers, Dinand, Simmons, Adrian, Soci, Cornel, Abdalla, Saleh, Abellan, Xavier, Balsamo, Gianpaolo, Bechtold, Peter, Biavati, Gionata, Bidlot, Jean, Bonavita, Massimo, Chiara, Giovanna De, Dahlgren, Per, Dee, Dick, Diamantakis, Michail, Dragani, Rossana, Flemming, Johannes, Forbes, Richard, Fuentes, Manuel, Geer, Alan, Haimberger, Leo, Healy, Sean, Hogan, Robin J, Hólm, Elías, Janisková, Marta, Keely, Sarah, Laloyaux, Patrick, Lopez, Philippe, Lupu, Cristina, Radnoti, Gabor, Rosnay, Patricia de, Rozum, Iryna, Vamborg, Freja, Villaume, Sebastien, and Thépaut, Jean-Noël, 2020, The ERA5 global reanalysis.

    Online Links:

    Other_Citation_Details:
    Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume,S., Thépau, J.-N., 2020, The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society; v.146, no. 730, pp.1999–2049, https://doi.org/10.1002/qj.3803
    Stevens, Andrew W., Elias, Edwin, Pearson, Stuart, Kaminsky, George M., Ruggiero, Peter R., Weiner, Heather M., and Gelfenbaum, Guy R., 2020, Observations of coastal change and numerical modeling of sediment-transport pathways at the mouth of the Columbia River and its adjacent littoral cell: U.S. Geological Survey, Reston, Virginia.

    Online Links:

    Stevens, Andrew W., Gelfenbaum, Guy, Ruggiero, Peter, and Kaminsky, George M., 2012, Southwest Washington littoral drift restoration-Beach and nearshore morphological monitoring: U.S. Geological Survey, Reston, Virginia.

    Online Links:

    Dowell, David C., Alexander, Curtis R., James, Eric P., Weygandt, Stephen S., Benjamin, Stanley G., Manikin, Geoffrey S., Blake, Benjamin T., Brown, John M., Olsen, Joseph B., Hu, Ming, Smirnova, Tatiana G., Ladwig, Terra, Kenyon, Jaymes S., Ahmadov, Ravan, Turner, David D., Duda, Jeffrey D., and Alcott, Trevor I., 2022, The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description.

    Online Links:

    Rasmussen, R.M., Chen, F., Liu, C.H., Ikeda, K., Prein, A., Kim, J., Schneider, T., Dai, A., Gochis, D., Dugger, A., Zhang, Y., Jaye, A., Dudhia, J., He, C., Harrold, M., Xue, L., Chen, S., Newman, A., Dougherty, E., Abolafia-Rosenzweig, R., Lybarger, N.D., Viger, R., Lesmes, D., Skalak, K., Brakebill, J., Cline, D., Dunne, K., Rasmussen, K., and Miguez-Macho, G., 2023, CONUS404: The NCAR–USGS 4-km Long-Term Regional Hydroclimate Reanalysis over the CONUS.

    Online Links:

    Komen, G.J., Hasselmann, S., and Hasselmann, K., 1984, On the Existence of a Fully Developed Wind-Sea Spectrum.

    Online Links:

    Battjes, J., and Janssen, J., 1978, Energy loss and setup due to breaking of random waves..

    Online Links:


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

  1. How well have the observations been checked?
    The model predictions of wave parameters were first validated against buoy observations at 4 locations in water depths between 24 and 183 m. Wave parameters at all of the sites were simulated skillfully with maximum root mean square errors of 0.42 m, 2.64 s, and 30.21 deg and average skill scores of 0.97, 0.81, and 0.78, for significant wave heights, peak wave periods, and mean wave directions, respectively. Notably, biases of -10 and -7 degrees were observed in the predicted wave directions for the two northern wave buoys.
  2. How accurate are the geographic locations?
    A formal accuracy assessment of the horizontal positional information in the data set has either not been conducted or is not applicable.
  3. How accurate are the heights or depths?
    A formal accuracy assessment of the vertical positional information in the data set has either not been conducted or is not 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 metadata for each part of this data release carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    All data falls within expected ranges.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints no access constraints
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 the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - Coastal and Marine Geoscience Data System
    2885 Mission Street
    Santa Cruz, CA
    USA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov
  2. What's the catalog number I need to order this data set? Model input files for the spectral wave model compatible with windows executable of Delft3D4 version 4.04.01 are provided in the zip archives. Browse graphic showing an example wave calculation is also provided along with associated metadata.
  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?
    • Availability in digital form:
      Data format: zipped file folders containing model input files for SWAN wave model run using Delft3D4 version 4.04.01 in format various (version Delft3D-FLOW 4.04.01) Size: 1508.14
      Network links: https://doi.org/10.5066/P1R9REKP
    • Cost to order the data: None


Who wrote the metadata?

Dates:
Last modified: 15-Aug-2024
Metadata author:
PCMSC Science Data Coordinator
U.S. Geological Survey, Pacific Coastal and Marine Science Center
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)

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