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Wave Classification Statistical Data for US Waters

Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.

Haas, K. Georgia Tech Research Corporation

Sep 21, 2016
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Extreme Significant Wave Heights for US Coastal Waters

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: S...

Bredin, S. Sandia National Laboratories

Sep 01, 2016
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Early Market Opportunity MHK Energy Site Identification Wave and Tidal Resources

This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--base...

Kilcher, L. National Renewable Energy Laboratory

Apr 01, 2016
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Most Likely Extreme Response Analysis of an Ellipsoid Float Wave Energy Converter

Input data and heave results (unsteady RANS-VOF overset simulations performed in Star-CCM+) for a float with an ellipsoid geometry. Five extreme sea states were considered, as detailed in the conference paper "Application of the Most Likely Extreme Response Method for Wave Energy ...

Quon, E. National Renewable Energy Laboratory

Jun 17, 2016
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Wave Energy Prize Wave Calibration Data for the 1:20 Scale Testing at MASK

Time series data, sensor layout, and wave calibration summaries for the wave height measurements for the 10 calibration sea states for the 1:20 scale testing of the Wave Energy Prize (WEP) at the US Navy's Maneuvering and Seakeeping (MASK) Basin at the Naval Surface Warfare Center...

Driscoll, R. National Renewable Energy Laboratory

May 08, 2017
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High Resolution Ocean Surface Wave Hindcast (US Wave) Data

The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project de...

Yang, Z. et al National Renewable Energy Laboratory

Jul 01, 2020
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