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Title: Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data

Abstract

The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with NOAA-CSD scientists. For more information, refer to the attached readme.

Creator(s)/Author(s):
;
Publication Date:
DOE Contract Number:  
67025F
Product Type:
Dataset
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:
1418688
DOI:
10.21947/1418688

Citation Formats

Brewer, Alan, and Baidar, Sunil. Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data. United States: N. p., 2019. Web. doi:10.21947/1418688.
Brewer, Alan, & Baidar, Sunil. Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data. United States. doi:10.21947/1418688.
Brewer, Alan, and Baidar, Sunil. 2019. "Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data". United States. doi:10.21947/1418688. https://www.osti.gov/servlets/purl/1418688. Pub date:Wed Dec 11 00:00:00 EST 2019
@article{osti_1418688,
title = {Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data},
author = {Brewer, Alan and Baidar, Sunil},
abstractNote = {The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with NOAA-CSD scientists. For more information, refer to the attached readme.},
doi = {10.21947/1418688},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}

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