U.S. Department of EnergyOffice of Scientific and Technical Information
AWAKEN Site A5 - LLNL Scanning Lidar (Halo XR+ #190) / Reviewed data - with calibrated azimuth
Abstract
These data include scanning Doppler lidar measurements from the deployment of the LLNL HALO XR+ (s/n 190) at the A5 site. The measurements include calibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate. The data are provided in NetCDF.
- Authors:
-
- PNNL; 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:
- 2205483
- DOI:
- https://doi.org/10.21947/2205483
Citation Formats
Newsom, Rob. AWAKEN Site A5 - LLNL Scanning Lidar (Halo XR+ #190) / Reviewed data - with calibrated azimuth. United States: N. p., 2023.
Web. doi:10.21947/2205483.
Newsom, Rob. AWAKEN Site A5 - LLNL Scanning Lidar (Halo XR+ #190) / Reviewed data - with calibrated azimuth. United States. doi:https://doi.org/10.21947/2205483
Newsom, Rob. 2023.
"AWAKEN Site A5 - LLNL Scanning Lidar (Halo XR+ #190) / Reviewed data - with calibrated azimuth". United States. doi:https://doi.org/10.21947/2205483. https://www.osti.gov/servlets/purl/2205483. Pub date:Mon Nov 27 04:00:00 UTC 2023
@article{osti_2205483,
title = {AWAKEN Site A5 - LLNL Scanning Lidar (Halo XR+ #190) / Reviewed data - with calibrated azimuth},
author = {Newsom, Rob},
abstractNote = {These data include scanning Doppler lidar measurements from the deployment of the LLNL HALO XR+ (s/n 190) at the A5 site. The measurements include calibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate. The data are provided in NetCDF.},
doi = {10.21947/2205483},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 27 04:00:00 UTC 2023},
month = {Mon Nov 27 04:00:00 UTC 2023}
}
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