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Title: Surface Meteorological Station - ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 - Reviewed Data

Sonic anemometers from Physics Site-3 and Site-9 provide wind components and virtual temperature. The energy balance Bowen ratio (EBBR) station at Physics site-3 provides measurements of the surface fluxes of latent and sensible heat, net radiation, and surface soil heat flux.
Authors:
Publication Date:
DOE Contract Number:
67025F
Product Type:
Dataset
Research Org(s):
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:
1425895

Muradyan, Paytsar. Surface Meteorological Station - ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 - Reviewed Data. United States: N. p., Web. doi:10.21947/1425895.
Muradyan, Paytsar. Surface Meteorological Station - ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 - Reviewed Data. United States. doi:10.21947/1425895.
Muradyan, Paytsar. 2018. "Surface Meteorological Station - ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 - Reviewed Data". United States. doi:10.21947/1425895. https://www.osti.gov/servlets/purl/1425895.
@misc{osti_1425895,
title = {Surface Meteorological Station - ANL 10m, (1) Sonics, (1) EBBR, Physics site-3 - Reviewed Data},
author = {Muradyan, Paytsar},
abstractNote = {Sonic anemometers from Physics Site-3 and Site-9 provide wind components and virtual temperature. The energy balance Bowen ratio (EBBR) station at Physics site-3 provides measurements of the surface fluxes of latent and sensible heat, net radiation, and surface soil heat flux.},
doi = {10.21947/1425895},
year = {2018},
month = {3} }
  1. A2e is a multi-year, multi-stakeholder DOE research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Focus areas include high fidelity modeling, verification, and validation; aeroacoustics; integrated wind plant control; integrated systems and analysis; reliability; and data archiving.
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