WREF Field Profiling Lidar-773 / Raw Data

Wharton, Sonia

doi:10.21947/2588705

Title: WREF Field Profiling Lidar-773 / Raw Data

Dataset
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Abstract

The field profiling lidar #ZX300-773 was deployed on the ground in an open field 880 m south of the Wind River NEON tower in summer 2025. It was co-located with LLNL's Halo XR+ scanning lidar (z05) and Argonne's Waggle Node to capture mountain-valley flows during the warm summer season. The zip files contain high frequency data. The excel files are 10-min averages.

Authors:

Wharton, Sonia

LLNL

Publication Date:: Thu Oct 09 04:00:00 UTC 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Laboratory

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

Subject:: 17 WIND ENERGY

OSTI Identifier:: 2588705

DOI:: https://doi.org/10.21947/2588705

Citation Formats


                    Wharton, Sonia. WREF Field Profiling Lidar-773 / Raw Data.  United States: N. p., 2025. 
        Web.  doi:10.21947/2588705.

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                    Wharton, Sonia. WREF Field Profiling Lidar-773 / Raw Data.  United States.  doi:https://doi.org/10.21947/2588705

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                    Wharton, Sonia. 2025.  
"WREF Field Profiling Lidar-773 / Raw Data".  United States.  doi:https://doi.org/10.21947/2588705.  https://www.osti.gov/servlets/purl/2588705. Pub date:Thu Oct 09 04:00:00 UTC 2025

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@article{osti_2588705,

  title        = {WREF Field Profiling Lidar-773 / Raw Data},

  author       = {Wharton, Sonia},

  abstractNote = {The field profiling lidar #ZX300-773 was deployed on the ground in an open field 880 m south of the Wind River NEON tower in summer 2025. It was co-located with LLNL's Halo XR+ scanning lidar (z05) and Argonne's Waggle Node to capture mountain-valley flows during the warm summer season. The zip files contain high frequency data. The excel files are 10-min averages.},

  doi          = {10.21947/2588705},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Oct 09 04:00:00 UTC 2025},

  month        = {Thu Oct 09 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.21947/2588705

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