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UAE6 Wind Tunnel Tests Data UAE6 Sequence P Raw Data
**Overview**
Sequence P: Wake Flow Visualization, Upwind (P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 15 m/s. Yaw angles of 0° to –60° were achieved. The blade tip pitch was 3°. The rotor rotated at 72 RPM. ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
0 Stars
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UAE6 Wind Tunnel Tests Data UAE6 Sequence Q Raw Data
**Overview**
Sequence Q: Dynamic Inflow (P)
This sequence was designed to characterize the dynamic inflow variation using the five-hole
probes that extend upwind of the leading edge of the blade. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 11, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lidar California Leosphere Windcube 866 (120), Humboldt Processed Data
**Overview**
The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF.
**Data Quality**
Standard filtering thresholds on the averaged data were applied and several data f...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Oct 07, 2020
1 Resources
0 Stars
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1 Resources
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Lidar ND Halo Scanning Doppler, Boardman Derived Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
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1 Resources
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Publicly accessible
Lidar ND Halo Scanning Doppler, Boardman Processed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Raw Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Publicly accessible
Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Raw Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 04, 2015
1 Resources
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1 Resources
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Radar TTU Ka-band, ka1 Raw Data
**Overview**
The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
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1 Resources
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Radar TTU Ka-band, ka2 Raw Data
**Overview**
The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Derived Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Derived Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
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1 Resources
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Publicly accessible
Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Processed Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 07, 2015
1 Resources
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1 Resources
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Site B PNNL Surface Met Station / Raw Data
**Overview**
Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site B
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
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1 Resources
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Site G PNNL Surface Met Station / Raw Data
**Overview**
Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site G
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
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1 Resources
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Lidar ESRL WindCube 200s, Arlington Airport Processed Data
**Overview**
The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Sep 24, 2015
1 Resources
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1 Resources
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Lidar LLNL ZephIR Profiler, Arlington Airport Reviewed Data
**Overview**
These are 10-min averaged data from a vertical-profiling ZephIR 300 lidar.
Data collected at the Arlington airport for the WFIP2 project.
March 10, 2016 April 1, 2017
**Data Details**
1 Hz data are available from:
wharton4@llnl.gov
**Data Quality**
Instrument ...
Wharton, S. Wind Energy Technologies Office (WETO)
Mar 09, 2016
1 Resources
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1 Resources
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Radar 449MHz Astoria, OR (AST) Raw Data
**Overview**
**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities...
Gottas, D. Wind Energy Technologies Office (WETO)
Sep 02, 2015
1 Resources
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1 Resources
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Radar 449MHz Forks, WA (FKS) Raw Data
**Overview**
**Winds.**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities...
Gottas, D. Wind Energy Technologies Office (WETO)
Jul 22, 2015
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 8 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence 9 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
wfip2.model/realtime.hrrr_esrl.graphics.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 14, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.icbc.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
wfip2.model/realtime.hrrr_wfip2.graphics.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 16, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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wfip2.model/realtime.hrrr_wfip2.icbc.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible