AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data

Wharton, Sonia

doi:10.21947/1915018

Title: AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data

Dataset
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Abstract

This dataset contains vertical profiling lidar data from AWAKEN site A1. This is the ZX300 unit #1381 lidar system. The .csv files are monthly data files with 10-min average data. The .zip files are daily high frequency data and zipped by month.

Authors:

Wharton, Sonia

LLNL; Pacific Northwest National Laboratory

Publication Date:: Thu Dec 21 04:00:00 UTC 2023

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:: 1915018

DOI:: https://doi.org/10.21947/1915018

Citation Formats


                    Wharton, Sonia. AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data.  United States: N. p., 2023. 
        Web.  doi:10.21947/1915018.

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                    Wharton, Sonia. AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data.  United States.  doi:https://doi.org/10.21947/1915018

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                    Wharton, Sonia. 2023.  
"AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data".  United States.  doi:https://doi.org/10.21947/1915018.  https://www.osti.gov/servlets/purl/1915018. Pub date:Thu Dec 21 04:00:00 UTC 2023

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@article{osti_1915018,

  title        = {AWAKEN Site A1 - LLNL Profiling Lidar (ZX300 #1381) / Raw Data},

  author       = {Wharton, Sonia},

  abstractNote = {This dataset contains vertical profiling lidar data from AWAKEN site A1. This is the ZX300 unit #1381 lidar system. The .csv files are monthly data files with 10-min average data. The .zip files are daily high frequency data and zipped by month.},

  doi          = {10.21947/1915018},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Dec 21 04:00:00 UTC 2023},

  month        = {Thu Dec 21 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.21947/1915018

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