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.
Citation Formats
TY - DATA
AB - 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.
AU - Haas, Kevin
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/1460407
KW - MHK
KW - Marine
KW - Hydrokinetic
KW - energy
KW - power
KW - wave data
KW - Resource Assessment
KW - wave
KW - resource
KW - model
KW - validation
KW - site
KW - characterization
KW - selection
KW - classification
KW - simulation
KW - US
KW - United States
KW - waters
KW - ocean
KW - sea
KW - density
KW - depth
KW - hindcast
KW - WWIII
KW - NOAA
KW - frequency-directional
KW - variance density spectra
KW - 1951
LA - English
DA - 2016/09/21
PY - 2016
PB - Georgia Tech Research Corporation
T1 - Wave Classification Statistical Data for US Waters
UR - https://doi.org/10.15473/1460407
ER -
Haas, Kevin. Wave Classification Statistical Data for US Waters. Georgia Tech Research Corporation, 21 September, 2016, MHKDR. https://doi.org/10.15473/1460407.
Haas, K. (2016). Wave Classification Statistical Data for US Waters. [Data set]. MHKDR. Georgia Tech Research Corporation. https://doi.org/10.15473/1460407
Haas, Kevin. Wave Classification Statistical Data for US Waters. Georgia Tech Research Corporation, September, 21, 2016. Distributed by MHKDR. https://doi.org/10.15473/1460407
@misc{OEDI_Dataset_7833,
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. },
url = {https://mhkdr.openei.org/submissions/144},
year = {2016},
howpublished = {MHKDR, Georgia Tech Research Corporation, https://doi.org/10.15473/1460407},
note = {Accessed: 2025-05-02},
doi = {10.15473/1460407}
}
https://dx.doi.org/10.15473/1460407
Details
Data from Sep 21, 2016
Last updated Dec 21, 2020
Submitted Sep 21, 2016
Organization
Georgia Tech Research Corporation
Contact
Kevin Haas
404.385.1812
Authors
Original Source
https://mhkdr.openei.org/submissions/144Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, power, wave data, Resource Assessment, wave, resource, model, validation, site, characterization, selection, classification, simulation, US, United States, waters, ocean, sea, density, depth, hindcast, WWIII, NOAA, frequency-directional, variance density spectra, 1951DOE Project Details
Project Name Model Validation and Site Characterization for Early Deployment MHK Sites and Establishment of Wave Classification Scheme.
Project Lead Joel Cline
Project Number FY16 AOP 141701
