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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
6 Resources
1 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

Modeling the Integration of Marine Energy into Microgrids Wave Resource Assessment

This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; ...
Mankle, H. and Robertson, B. University of Alaska Fairbanks
Jan 19, 2023
9 Resources
0 Stars
Publicly accessible

ALFA Wave Resource Characterization in Extreme Conditions, Offshore of Newport, OR

Model hindcast and Surface Wave Instrument Float With Tracking (SWIFT) buoy observations during extreme conditions offshore of Newport, OR
Thomson, J. Northwest National Marine Renewable Energy Center
Dec 06, 2015
2 Resources
0 Stars
Publicly accessible

USWAN Model Hindcast East Coast Regional Model (ECoRM)

Summary tables and plots of six International Electrotechnical Commission (IEC) wave parameters, including time series, scatter plots, and tables summarizing model performance.
Neary, V. Sandia National Laboratories
Sep 29, 2017
2 Resources
0 Stars
Publicly accessible
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  • The MHKDR is the submission point for all data collected from research funded by the U.S. Department of Energy's Marine and Hydrokinetic Power Program.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

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