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Title: 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:

  1. 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:
2228698
DOI:
https://doi.org/10.21947/2228698

Citation Formats

Newsom, Rob. AWAKEN Virtual Tower / Derived Data. United States: N. p., 2023. Web. doi:10.21947/2228698.
Newsom, Rob. AWAKEN Virtual Tower / Derived Data. United States. doi:https://doi.org/10.21947/2228698
Newsom, Rob. 2023. "AWAKEN Virtual Tower / Derived Data". United States. doi:https://doi.org/10.21947/2228698. https://www.osti.gov/servlets/purl/2228698. Pub date:Mon Dec 11 04:00:00 UTC 2023
@article{osti_2228698,
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 = {10.21947/2228698},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Dec 11 04:00:00 UTC 2023},
month = {Mon Dec 11 04:00:00 UTC 2023}
}