U.S. Department of EnergyOffice of Scientific and Technical Information
Lidar - California - Leosphere Windcube 866 (130), Morro Bay - Processed Data
Abstract
The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on the buoys, parameters measured by each instrument, and the frequency of data collection.
- Authors:
- 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:
- 1959720
- DOI:
- https://doi.org/10.21947/1959720
Citation Formats
Krishnamurthy, Raghavendra. Lidar - California - Leosphere Windcube 866 (130), Morro Bay - Processed Data. United States: N. p., 2023.
Web. doi:10.21947/1959720.
Krishnamurthy, Raghavendra. Lidar - California - Leosphere Windcube 866 (130), Morro Bay - Processed Data. United States. doi:https://doi.org/10.21947/1959720
Krishnamurthy, Raghavendra. 2023.
"Lidar - California - Leosphere Windcube 866 (130), Morro Bay - Processed Data". United States. doi:https://doi.org/10.21947/1959720. https://www.osti.gov/servlets/purl/1959720. Pub date:Tue Oct 10 00:00:00 EDT 2023
@article{osti_1959720,
title = {Lidar - California - Leosphere Windcube 866 (130), Morro Bay - Processed Data},
author = {Krishnamurthy, Raghavendra},
abstractNote = {The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on the buoys, parameters measured by each instrument, and the frequency of data collection.},
doi = {10.21947/1959720},
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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