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

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 Aditya Choukulkar (). 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:
DOE Contract Number:
67025F
Product Type:
Dataset
Research Org(s):
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

Choukulkar, Aditya. Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data. United States: N. p., Web. doi:10.21947/1418688.
Choukulkar, Aditya. Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data. United States. doi:10.21947/1418688.
Choukulkar, Aditya. 2018. "Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data". United States. doi:10.21947/1418688. https://www.osti.gov/servlets/purl/1418688.
@misc{osti_1418688,
title = {Lidar - ESRL WindCube 200s, Arlington Airport - Processed Data},
author = {Choukulkar, Aditya},
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 Aditya Choukulkar (). 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},
year = {2018},
month = {1} }
  1. A2e is a multi-year, multi-stakeholder DOE research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Focus areas include high fidelity modeling, verification, and validation; aeroacoustics; integrated wind plant control; integrated systems and analysis; reliability; and data archiving.
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