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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
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence N Raw Data
**Overview**
Sequence N: Sin AOA, Rotating (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
presence of rotational influences by varying blade pitch angle. Test sequence N used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
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Log Project Event Log & Common Case Study Set Raw Data
**Overview**
This is the WFIP2 event log covering all sites and instruments for the entire project duration.
Final Event Log and Common Case Study Set
Additional details may be added here.
Sharp, J. et al Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Radar 449MHz North Bend, OR (OTH) Reviewed 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)
Oct 14, 2015
1 Resources
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1 Resources
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Radar 449MHz Astoria, OR (AST) Reviewed 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) Reviewed 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 23, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Radar 449MHz North Bend, OR (OTH) 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)
Oct 14, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence X Raw Data
**Overview**
Sequence X: Elevated RPM (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 12 m/s, and yaw angles of ±30° were obtained. The blade pitch angle was 3°. The
rotor rotated at 90 RPM. Blade pressure measur...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 29, 2018
1 Resources
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1 Resources
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California Auxiliary Datasets for Buoy (120), Humboldt / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
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1 Resources
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California Auxiliary Datasets for Buoy (130), Morro Bay / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
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1 Resources
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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
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UAE6 Wind Tunnel Tests Data UAE6 Sequence E Raw Data
**Overview**
Sequence E: Yaw Releases (P)
This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds
ranged from 7 m/s to 17 m/s. Initial yaw angles of ±90° were achieved. The blade tip pitch was
3°. The rotor rotated at 72 RPM. Blade and probe...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 27, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence R Raw Data
**Overview**
Sequence R: Step AOA, No Probes (P)
This sequence was designed to quantify the effect of the five-hole probes on the 3-D blade static
angle-of-attack response in the presence of rotational influences by repeating Sequence K without
five-hole probes. This test sequen...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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Tower TTU (SWiFT) Tower, All levels Processed Data
**Overview**
This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running a...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data
**Overview**
Sequence O: Sin AOA, Parked (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
absence of rotational influences by varying blade pitch angle. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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
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1 Resources
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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
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1 Resources
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NREL GIS Data: Hawaii High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Hawaii at a 50 meter height.
_Purpose:_ Provide information on the wind resource development potential within the state of Hawaii.
_Supplemental Information:_ This data set has been validated by NREL and ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
NREL GIS Data: South Carolina High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of South Carolina at a 50 meter height.
_Purpose:_ Provide information on the wind resource development potential within the state of South Carolina.
_Supplemental Information:_ This data set has been valida...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
NREL GIS Data: Georgia High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Georgia at a 50 meter height.
_Purpose:_ Provide information on the wind resource development potential within the state of Georgia.
_Supplemental Information:_ This data set has been validated by NREL an...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 13, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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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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