USWAN Model Hindcast East Coast Regional Model (ECoRM)

Neary, Vincent

doi:10.15473/1498797

Title: USWAN Model Hindcast East Coast Regional Model (ECoRM)

Dataset
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Abstract

Summary tables and plots of six IEC wave parameters, including time series, scatter plots, and tables summarizing model performance.

Authors:

Neary, Vincent

Sandia National Laboratories

Publication Date:: Fri Sep 29 04:00:00 UTC 2017

Other Number(s):: 232

Research Org.:: Marine and Hydrokinetic Data Repository (MHKDR); Sandia National Laboratories

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Collaborations:: Sandia National Laboratories

Subject:: 16 TIDAL AND WAVE POWER; ECoRM; Hydrokinetic; MHK; Marine; USWAN; classification; east coast; energy; model; ocean; parameters; performance; plot; power; regional; resource; scatter; spectral wave modeling; time series; wave; wave climate; wave resource characterization

OSTI Identifier:: 1498797

DOI:: https://doi.org/10.15473/1498797

Citation Formats


                    Neary, Vincent. USWAN Model Hindcast East Coast Regional Model (ECoRM).  United States: N. p., 2017. 
        Web.  doi:10.15473/1498797.

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                    Neary, Vincent. USWAN Model Hindcast East Coast Regional Model (ECoRM).  United States.  doi:https://doi.org/10.15473/1498797

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                    Neary, Vincent. 2017.  
"USWAN Model Hindcast East Coast Regional Model (ECoRM)".  United States.  doi:https://doi.org/10.15473/1498797.  https://www.osti.gov/servlets/purl/1498797. Pub date:Fri Sep 29 04:00:00 UTC 2017

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@article{osti_1498797,

  title        = {USWAN Model Hindcast East Coast Regional Model (ECoRM)},

  author       = {Neary, Vincent},

  abstractNote = {Summary tables and plots of six IEC wave parameters, including time series, scatter plots, and tables summarizing model performance.},

  doi          = {10.15473/1498797},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Sep 29 04:00:00 UTC 2017},

  month        = {Fri Sep 29 04:00:00 UTC 2017}

}

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DOI: https://doi.org/10.15473/1498797

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