AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics

Letizia, Stefano; Bodini, Nicola

doi:10.21947/2375438

Title: AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics

Dataset
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Abstract

The 10-min wind statistics from ground-based Doppler lidar at site H were calculated using the Sathe et al., 2015, paper in the references.

Authors:

Letizia, Stefano; Bodini, Nicola

National Renewable Energy Laboratory; Pacific Northwest National Laboratory
NREL

Publication Date:: Mon Jul 08 00:00:00 EDT 2024

Research Org.:: Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL

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

Subject:: 17 WIND ENERGY

OSTI Identifier:: 2375438

DOI:: https://doi.org/10.21947/2375438

Citation Formats


                    Letizia, Stefano, and Bodini, Nicola. AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics.  United States: N. p., 2024. 
        Web.  doi:10.21947/2375438.

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                    Letizia, Stefano, & Bodini, Nicola. AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics.  United States.  doi:https://doi.org/10.21947/2375438

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                    Letizia, Stefano, and Bodini, Nicola. 2024.  
"AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics".  United States.  doi:https://doi.org/10.21947/2375438.  https://www.osti.gov/servlets/purl/2375438. Pub date:Mon Jul 08 00:00:00 EDT 2024

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@article{osti_2375438,

  title        = {AWAKEN Site H LiDAR (Cornell University) / Derived Data - Wind Statistics},

  author       = {Letizia, Stefano and Bodini, Nicola},

  abstractNote = {The 10-min wind statistics from ground-based Doppler lidar at site H were calculated using the Sathe et al., 2015, paper in the references.},

  doi          = {10.21947/2375438},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jul 08 00:00:00 EDT 2024},

  month        = {Mon Jul 08 00:00:00 EDT 2024}

}

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DOI: https://doi.org/10.21947/2375438

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