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
Georgia Tech Research Corporation. (2016). Wave Classification Statistical Data for US Waters [data set]. Retrieved from https://dx.doi.org/10.15473/1460407.
Haas, Kevin. Wave Classification Statistical Data for US Waters. United States: N.p., 21 Sep, 2016. Web. doi: 10.15473/1460407.
Haas, Kevin. Wave Classification Statistical Data for US Waters. United States. https://dx.doi.org/10.15473/1460407
Haas, Kevin. 2016. "Wave Classification Statistical Data for US Waters". United States. https://dx.doi.org/10.15473/1460407. https://mhkdr.openei.org/submissions/144.
@div{oedi_3944, 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}, url = {https://mhkdr.openei.org/submissions/144}, journal = {}, number = , volume = , place = {United States}, year = {2016}, month = {09}}
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
