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Wave model input files (ver. 2.0, November 2024)
Provided here are the required input files to run a standalone wave model (Simulating Waves Nearshore [SWAN]; Booij and others, 1999) on eleven model domains from the Canada-U.S. border to Norton Sound, Alaska. The model runs create a downscaled wave database (DWDB) which, can be used to reconstruct hindcast, historical, or projected time series at each point in the model domains (see Engelstad and others, 2023 for further information on reconstruction of time-series). The model forcing files consist of reduced sets of binned wind and wave parameter combinations, hereafter termed ‘sea states’. The use of representative sea states allows for lower computational costs and follows modified methods outlined in for example Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017. Wind and wave parameters were extracted from the ERA5 reanalysis (Hersbach and others, 2020; https://cds.climate.copernicus.eu/) for the hindcast period (1979–2019) and for the historical (1979-2014) and projected (2020-2050) time periods from WAVEWATCHIII wave model runs (Erikson and others, 2022) driven by winds and sea ice fields from the 6th generation Coupled Model Inter-comparison Projects (CMIP6 Haarsma and others, 2016 The extent of each model domain can be inferred from the browse graphic. Model input files are described in the Entity and Attribute Overview section.
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Wave model input files (ver. 2.0, November 2024)
공공데이터포털
Provided here are the required input files to run a standalone wave model (Simulating Waves Nearshore [SWAN]; Booij and others, 1999) on eleven model domains from the Canada-U.S. border to Norton Sound, Alaska. The model runs create a downscaled wave database (DWDB) which, can be used to reconstruct hindcast, historical, or projected time series at each point in the model domains (see Engelstad and others, 2023 for further information on reconstruction of time-series). The model forcing files consist of reduced sets of binned wind and wave parameter combinations, hereafter termed ‘sea states’. The use of representative sea states allows for lower computational costs and follows modified methods outlined in for example Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017. Wind and wave parameters were extracted from the ERA5 reanalysis (Hersbach and others, 2020; https://cds.climate.copernicus.eu/) for the hindcast period (1979–2019) and for the historical (1979-2014) and projected (2020-2050) time periods from WAVEWATCHIII wave model runs (Erikson and others, 2022) driven by winds and sea ice fields from the 6th generation Coupled Model Inter-comparison Projects (CMIP6 Haarsma and others, 2016 The extent of each model domain can be inferred from the browse graphic. Model input files are described in the Entity and Attribute Overview section.
Wave model input files (ver. 2.0, November 2024)
공공데이터포털
Provided here are the required input files to run a standalone wave model (Simulating Waves Nearshore [SWAN]; Booij and others, 1999) on eleven model domains from the Canada-U.S. border to Norton Sound, Alaska. The model runs create a downscaled wave database (DWDB) which, can be used to reconstruct hindcast, historical, or projected time series at each point in the model domains (see Engelstad and others, 2023 for further information on reconstruction of time-series). The model forcing files consist of reduced sets of binned wind and wave parameter combinations, hereafter termed ‘sea states’. The use of representative sea states allows for lower computational costs and follows modified methods outlined in for example Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017. Wind and wave parameters were extracted from the ERA5 reanalysis (Hersbach and others, 2020; https://cds.climate.copernicus.eu/) for the hindcast period (1979–2019) and for the historical (1979-2014) and projected (2020-2050) time periods from WAVEWATCHIII wave model runs (Erikson and others, 2022) driven by winds and sea ice fields from the 6th generation Coupled Model Inter-comparison Projects (CMIP6 Haarsma and others, 2016 The extent of each model domain can be inferred from the browse graphic. Model input files are described in the Entity and Attribute Overview section.
Spectral wave model input files
공공데이터포털
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.
Spectral wave model input files
공공데이터포털
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.
Modeled nearshore wave parameters
공공데이터포털
This portion of the USGS data release contains simulated nearshore wave parameters derived from a stand-alone spectral wave model of the Columbia River littoral cell, Washington and Oregon. The model output includes significant wave heights, peak wave periods, mean wave directions, and water depths for a series of 221 shore normal transects that extended from the coastline to the -15 m NAVD88 elevation (about 16.5 m average water depth). Data are provided at the seaward extent of each transect as well as at the location of the break point, or location just outside the surf zone, which varied dynamically based on the local bathymetry and wave conditions. Additional data are provided at four locations corresponding to the locations of buoy observations used to validate the model application. The data are derived from two hindcasts solved at hourly intervals between 1) August 2014 to September 2023 (h1), and 2) July 2010 to August 2011 (h2). The data from both hindcasts were compiled into netCDF files for the nearshore and buoy locations for distribution.
Modeled nearshore wave parameters
공공데이터포털
This portion of the USGS data release contains simulated nearshore wave parameters derived from a stand-alone spectral wave model of the Columbia River littoral cell, Washington and Oregon. The model output includes significant wave heights, peak wave periods, mean wave directions, and water depths for a series of 221 shore normal transects that extended from the coastline to the -15 m NAVD88 elevation (about 16.5 m average water depth). Data are provided at the seaward extent of each transect as well as at the location of the break point, or location just outside the surf zone, which varied dynamically based on the local bathymetry and wave conditions. Additional data are provided at four locations corresponding to the locations of buoy observations used to validate the model application. The data are derived from two hindcasts solved at hourly intervals between 1) August 2014 to September 2023 (h1), and 2) July 2010 to August 2011 (h2). The data from both hindcasts were compiled into netCDF files for the nearshore and buoy locations for distribution.
Wave model grids and bathymetry for the central Beaufort Sea coast, Alaska
공공데이터포털
The required grid and bathymetry files to run a nested spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) for the central Beaufort Sea coast of Alaska are provided. A three-level SWAN nesting grid with grid resolutions of 5000 meters, 1000 meters, and 200 meters for the overall, intermediate and detail grids, respectively (see included Browse Graphic) has been developed. For this purpose, available local bathymetry (Coastal Frontiers Corporation, 2014; Kasper and others, 2019) was merged with a larger-scale product (IBCAO Version 4.0 Compilation Group, 2020). Further details about the development of this model, model forcings and model settings can be found in Nederhoff and others (2021).
Wave model grids and bathymetry for the central Beaufort Sea coast, Alaska
공공데이터포털
The required grid and bathymetry files to run a nested spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) for the central Beaufort Sea coast of Alaska are provided. A three-level SWAN nesting grid with grid resolutions of 5000 meters, 1000 meters, and 200 meters for the overall, intermediate and detail grids, respectively (see included Browse Graphic) has been developed. For this purpose, available local bathymetry (Coastal Frontiers Corporation, 2014; Kasper and others, 2019) was merged with a larger-scale product (IBCAO Version 4.0 Compilation Group, 2020). Further details about the development of this model, model forcings and model settings can be found in Nederhoff and others (2021).
Dynamically downscaled future wave projections from SWAN model results for the main Hawaiian Islands
공공데이터포털
Projected wave climate trends from WAVEWATCH3 model output were used as input for nearshore wave models (for example, SWAN) for the main Hawaiian Islands to derive data and statistical measures (mean and top 5 percent values) of wave height, wave period, and wave direction for the recent past (1996-2005) and future projections (2026-2045 and 2085-2100). Three-hourly global climate model (GCM) wind speed and wind direction output from four different GCMs provided by the Coupled Model Inter-Comparison Project, phase 5 (CMIP5), were used as boundary conditions to the physics-based WAVEWATCH3 numerical wave model for the area encompassing the main Hawaiian islands. Two climate change scenarios for each of the four GCMs were run: the representative concentration pathway (RCP)-4.5 and RCP-8.5, representing a medium mitigation and a high emissions scenario, respectively. Simulation timeframes were limited to the years 2026-2045 and 2085-2100, as prescribed by the CMIP5 modeling framework. The WAVEWATCH3 modeled deep-water wave heights, wave periods, and wave directions, with current bathymetry were used as boundary conditions to drive simulations of mean and top 5 percent wave conditions at higher resolution over the insular shelves of the main Hawaiian islands using the 3rd-generation SWAN wave model. For each scenario, 12 simulations were made representing the month-averaged or top 5 percent conditions. The SWAN model is based on discrete spectral action balance equations, computing the evolution of random, short-crested waves. Physical processes such as bottom friction and depth induced breaking, and, non-linear quadruplet and triad wave-wave interactions are included. Wave propagation, growth, and decay are solved periodically throughout the model grid. The SWAN model has been shown to accurately model the propagation and breaking of waves over Pacific coral reefs.
Nearshore wave time-series: CMIP6 future period 2020-2050 - U.S. Canada border to Norton Sound, Alaska
공공데이터포털
Modeled wave time series from a downscaled wave data base (DWDB) are presented for the period 2020 to 2050, for locations from the U.S. Canada border to the southern boundary of Norton Sound along the approximate 5 and 10 m isobaths. The model boundary conditions were determined from wave time-series computed with a global WAVEWATCHIII (WWIII) model (Erikson and others,2024) and wind conditions, forced with models from the Coupled Model Intercomparison Project (CMIP6) future period. Wave data are provided for four CMIP6 models (see Process Description for details) from the HighResMIP project. Outputs include three-hourly nearshore significant wave heights (Hs), mean wave periods (Tm01) and mean wave directions (Dm) for 8485 (5 m isobath) and 8232 (10 m isobath) locations. Data are available as netCDF files and are packaged for the Beaufort Sea region from the U.S. Canada border to Nuwuk (Point Barrow), for the Chukchi Sea region from Nuwuk to Kotzebue Sound and from Kotzebue Sound to the Bering Strait, and from the Bering Strait to Norton Sound. The methods used to create this dataset are described in detail in Engelstad and others, 2024.