U.S. Department of EnergyOffice of Scientific and Technical Information
Lidar - ESRL WindCube 200s, Wasco Airport - Derived 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 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:
-
- Pacific Northwest National Laboratory
- Publication Date:
- 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:
- 1328937
- DOI:
- https://doi.org/10.21947/1328937
Citation Formats
Choukulkar, Aditya. Lidar - ESRL WindCube 200s, Wasco Airport - Derived Data. United States: N. p., 2017.
Web. doi:10.21947/1328937.
Choukulkar, Aditya. Lidar - ESRL WindCube 200s, Wasco Airport - Derived Data. United States. doi:https://doi.org/10.21947/1328937
Choukulkar, Aditya. 2017.
"Lidar - ESRL WindCube 200s, Wasco Airport - Derived Data". United States. doi:https://doi.org/10.21947/1328937. https://www.osti.gov/servlets/purl/1328937. Pub date:Mon Oct 23 04:00:00 UTC 2017
@article{osti_1328937,
title = {Lidar - ESRL WindCube 200s, Wasco Airport - Derived 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 = {10.21947/1328937},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 23 04:00:00 UTC 2017},
month = {Mon Oct 23 04:00:00 UTC 2017}
}
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