Monthly and annual summary of global sea surface height anomalies above mean sea surface, averaged from raw data. Raw data available from Oct. 2, 1992 to May 14, 2016, at 5 day intervals, with a spatial resolution of 0.17 degrees (Latitude) x 0.17 degrees (Longitude). Dataset contains the fully corrected heights, in meters.

These data depict a wave energy resource characterization for the US Exclusive Economic Zone. This climatology is based on a multi-resolution 32 year hindcast that used the WaveWatchIII and Simulating WAve Nearshore (SWAN) wave models. A collection of five variables are reported at the annual and monthly intervals. Statistics for each variable are provided as point and hexagon features.

Monthly and annual U and V vectors were summarized for 14 unique depth levels from daily means using the HYCOM and NCODA Global 1/12-degree Reanalysis. The U vector (m/s) is to the East and the V vector (m/s) is to the North. Current magnitude (m/s) was calculated using the daily U and V vectors. Descriptive statistics of mean, variance, standard deviations, minimum, and maximum were calculated for each month from the twenty years of data using the daily means (1992-2012). Mean, variance, and standard deviation was calculated for the annual summary period (1992-2012). The mean direction in degrees (with 0 = North) was calculated from the summarized U and V vector means, and represents the direction that the current is moving toward. The 1/12-degree global HYCOM+NCODA Ocean Reanalysis was funded by the U.S. Navy and the Modeling and Simulation Coordination Office. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at http://hycom.org.

Mean wave power density estimates represent naturally available US wave energy, derived from measurements observed during a 51-month study period. Measurements were taken from 42,000 grid points out to a distance of 50 nautical miles from shore. Values represent the average instantaneous power generated by a meter length of wave crest per grid point. In accordance with accepted global practice, wave power density is measured in kilowatts per meter of wave crest aggregated across a unit diameter circle. Data were classified using quantiles. Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than ~20m on the east coast and ~50m on the west coast. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. Results may not be accurate in the shallower waters of the inner continental shelf.

Includes extreme significant wave heights, in meters, computed using peaks over threshold method on NOAA 30-year WWIII hindcast data. Extreme values for 5, 10, 25, 50, and 100 year return periods were computed. Sites cover US coastlines. Column 1: Site identifier/name Column 2: Site latitude Column 3: Site longitude Column 4: 5-year extreme Hs, in meters Column 5: 10-year extreme Hs, in meters Column 6: 25-year extreme Hs, in meters Column 7: 50-year extreme Hs, in meters Column 8: 100-year extreme Hs, in meters

Includes extreme significant wave heights, in meters, computed using peaks over threshold method on NOAA 30-year WWIII hindcast data. Extreme values for 5, 10, 25, 50, and 100 year return periods were computed. Sites cover US coastlines. Column 1: Site identifier/name Column 2: Site latitude Column 3: Site longitude Column 4: 5-year extreme Hs, in meters Column 5: 10-year extreme Hs, in meters Column 6: 25-year extreme Hs, in meters Column 7: 50-year extreme Hs, in meters Column 8: 100-year extreme Hs, in meters

Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the annual average of the maximum anomaly of wave power (kW/m) from 2000-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016). Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Time series of anomalies were calculated by quantifying the number and magnitude of events from the maximum daily data set that exceeded the maximum climatological monthly mean. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. The average annual maximum wave power anomaly was calculated by taking the average of the annual maximum wave power values in exceedance of the maximum monthly climatological wave power from 2000-2013 for each 500-m grid cell.

Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the maximum monthly climatological mean of wave power (kW/m) from 1979-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016). Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster.

These data show the location of ocean observing assets within U.S. waters, and the physical parameters generally collected at each platform or gauge.

These data show bathymetric contours (isobaths) that help characterize the general physiographic patterns of the seafloor. Contour intervals are every 10 m from zero to -100 m, every 25 m from -100 m to -500 m, and every 100 m from -500 m to full depth. The DEM utilized was the Global Multi-Resolution Topography Synthesis which is a multi-resolution gridded global Digital Elevation Model that includes cleaned processed ship-based multibeam sonar data at their full spatial resolution (approximately 100m in the deep sea).