Wave Classification Statistical Data for US Waters

Haas, Kevin

doi:10.15473/1460407

Title: Wave Classification Statistical Data for US Waters

Dataset
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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:

Haas, Kevin

Georgia Tech Research Corpration

Publication Date:: 2016-09-20

Other Number(s):: 144

DOE Contract Number:: ;

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; characterization; classification; density; depth; energy; Hydrokinetic; Marine; MHK; model; ocean; power; resource; Resource Assessment; sea; selection; simulation; site; United States; US; 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.

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                    Haas, Kevin. Wave Classification Statistical Data for US Waters.  United States.  doi:https://doi.org/10.15473/1460407

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                    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:Tue Sep 20 20:00:00 EDT 2016

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@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         = {2016},

  month        = {9}

}

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DOI: https://doi.org/10.15473/1460407

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