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Title: Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed 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.

Authors:
;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmosphere to Electrons (A2e) Data Archive and Portal
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1418024
DOE Contract Number:  
67025F
Resource Type:
Data
Country of Publication:
United States
Language:
English
Subject:
17 Wind Energy

Citation Formats

Brewer, Alan, and Baidar, Sunil. Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed Data. United States: N. p., 2020. Web. doi:10.21947/1418024.
Brewer, Alan, & Baidar, Sunil. Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed Data. United States. doi:10.21947/1418024.
Brewer, Alan, and Baidar, Sunil. Fri . "Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed Data". United States. doi:10.21947/1418024. https://www.osti.gov/servlets/purl/1418024.
@article{osti_1418024,
title = {Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed 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 = {10.21947/1418024},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {3}
}

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