This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points along the U.S. West Coast and surrounding Hawai’i for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea-ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 km, depending on latitude) and further downscaled to 10- (approximately 18 km) and 4-arc-minute (approximately 7 km) model grids. Point model output data extracted from NOAA’s 4 arc-minute grid for the U.S. West Coast and Hawai’i (wc_4m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points surrounding Hawai’i and U.S. territories in the Pacific Ocean, for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 kilometer) and 4-arc-minute (approximately 7 kilometer) model grids. Point model output data extracted from NOAA’s 10-arc-minute grid for Hawai’i and U.S. territories in the Pacific Ocean (ep_10m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points surrounding Hawai’i and U.S. territories in the Pacific Ocean, for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 kilometer) and 4-arc-minute (approximately 7 kilometer) model grids. Point model output data extracted from NOAA’s 10-arc-minute grid for Hawai’i and U.S. territories in the Pacific Ocean (ep_10m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points along the U.S. Atlantic, Gulf of Mexico, and Puerto Rico coasts for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 km) and 4-arc-minute (approximately 7 km) model grids. Point model output data extracted from NOAA’s 4-arc-minute grid for the Gulf of Mexico and NW Atlantic (at_4m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points along the U.S. Atlantic, Gulf of Mexico, and Puerto Rico coasts for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 km) and 4-arc-minute (approximately 7 km) model grids. Point model output data extracted from NOAA’s 4-arc-minute grid for the Gulf of Mexico and NW Atlantic (at_4m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions and directional spreading at distinct points along the open coast of Alaska for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 kilometer) and 4-arc-minute (approximately 7 kilometer) model grids. Point model output data extracted from NOAA’s 4-arc-minute grid for Alaska (ak_4m) are provided herein.

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions and directional spreading at distinct points along the open coast of Alaska for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to simulate waves across the globe at a 0.5-degree resolution (approximately 50 kms, depending on latitude) and further downscaled to 10- (approximately 18 kilometer) and 4-arc-minute (approximately 7 kilometer) model grids. Point model output data extracted from NOAA’s 4-arc-minute grid for Alaska (ak_4m) are provided herein.

Time-series data of water surface elevation, waves, currents, temperature, and turbidity collected between November 2017 and March 2018 off the west coast of Maui, Hawaii, USA. The data are available in NetCDF format, grouped together in zip files by instrument site location. These data support a modeling study on the effects of potential watershed restoration on decreasing sediment loads to adjacent reefs (Storlazzi and others, 2023).

Time-series data of water surface elevation, waves, currents, temperature, and turbidity collected between November 2017 and March 2018 off the west coast of Maui, Hawaii, USA. The data are available in NetCDF format, grouped together in zip files by instrument site location. These data support a modeling study on the effects of potential watershed restoration on decreasing sediment loads to adjacent reefs (Storlazzi and others, 2023).

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.