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Title: Sodar - NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip - Reviewed Data

The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore., and are intended for validating WFIP2 model improvements.
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:
1418161

Scott, George. Sodar - NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip - Reviewed Data. United States: N. p., Web. doi:10.21947/1418161.
Scott, George. Sodar - NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip - Reviewed Data. United States. doi:10.21947/1418161.
Scott, George. 2018. "Sodar - NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip - Reviewed Data". United States. doi:10.21947/1418161. https://www.osti.gov/servlets/purl/1418161.
@misc{osti_1418161,
title = {Sodar - NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip - Reviewed Data},
author = {Scott, George},
abstractNote = {The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore., and are intended for validating WFIP2 model improvements.},
doi = {10.21947/1418161},
year = {2018},
month = {1} }
  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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