U.S. Department of EnergyOffice of Scientific and Technical Information
Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data
Abstract
These are the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.
- Authors:
-
- Pacific Northwest National Laboratory
- Publication Date:
- DOE Contract Number:
- 67025F
- Research Org.:
- Pacific Northwest National Laboratory (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)
- Subject:
- 17 Wind Energy
- OSTI Identifier:
- 1593125
- DOI:
- https://doi.org/10.21947/1593125
Citation Formats
Krishnamurthy, Raghu, PNNL, Mikhail Pekour -, and PNNL, Rob Newsom -. Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data. United States: N. p., 2023.
Web. doi:10.21947/1593125.
Krishnamurthy, Raghu, PNNL, Mikhail Pekour -, & PNNL, Rob Newsom -. Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data. United States. doi:https://doi.org/10.21947/1593125
Krishnamurthy, Raghu, PNNL, Mikhail Pekour -, and PNNL, Rob Newsom -. 2023.
"Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data". United States. doi:https://doi.org/10.21947/1593125. https://www.osti.gov/servlets/purl/1593125. Pub date:Tue Oct 10 00:00:00 EDT 2023
@article{osti_1593125,
title = {Lidar - Massachusetts - Leosphere Windcube 866 (120) - Raw Data},
author = {Krishnamurthy, Raghu and PNNL, Mikhail Pekour - and PNNL, Rob Newsom -},
abstractNote = {These are the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.},
doi = {10.21947/1593125},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 10 00:00:00 EDT 2023},
month = {Tue Oct 10 00:00:00 EDT 2023}
}
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