AWAKEN Virtual Tower / Derived Data
Abstract
Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
- Authors:
-
- Pacific Northwest National Laboratory; 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:
- 2228701
- DOI:
- https://doi.org/10.21947/2228701
Citation Formats
Newsom, Rob. AWAKEN Virtual Tower / Derived Data. United States: N. p., 2023.
Web. doi:10.21947/2228701.
Newsom, Rob. AWAKEN Virtual Tower / Derived Data. United States. doi:https://doi.org/10.21947/2228701
Newsom, Rob. 2023.
"AWAKEN Virtual Tower / Derived Data". United States. doi:https://doi.org/10.21947/2228701. https://www.osti.gov/servlets/purl/2228701. Pub date:Thu Dec 07 23:00:00 EST 2023
@article{osti_2228701,
title = {AWAKEN Virtual Tower / Derived Data},
author = {Newsom, Rob},
abstractNote = {Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.},
doi = {10.21947/2228701},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 07 23:00:00 EST 2023},
month = {Thu Dec 07 23:00:00 EST 2023}
}
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