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Title: Wave Classification Statistical Data for US Waters

Abstract

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.

Authors:

  1. Georgia Tech Research Corpration
Publication Date:
Other Number(s):
144
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); Georgia Tech Research Corporation
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Collaborations:
Georgia Tech Research Corporation
Subject:
16 TIDAL AND WAVE POWER; Hydrokinetic; MHK; Marine; Resource Assessment; US; United States; characterization; classification; density; depth; energy; model; ocean; power; resource; sea; selection; simulation; site; validation; waters; wave; wave data
OSTI Identifier:
1460407
DOI:
https://doi.org/10.15473/1460407

Citation Formats

Haas, Kevin. Wave Classification Statistical Data for US Waters. United States: N. p., 2016. Web. doi:10.15473/1460407.
Haas, Kevin. Wave Classification Statistical Data for US Waters. United States. doi:https://doi.org/10.15473/1460407
Haas, Kevin. 2016. "Wave Classification Statistical Data for US Waters". United States. doi:https://doi.org/10.15473/1460407. https://www.osti.gov/servlets/purl/1460407. Pub date:Wed Sep 21 00:00:00 EDT 2016
@article{osti_1460407,
title = {Wave Classification Statistical Data for US Waters},
author = {Haas, Kevin},
abstractNote = {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.},
doi = {10.15473/1460407},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 21 00:00:00 EDT 2016},
month = {Wed Sep 21 00:00:00 EDT 2016}
}