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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 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
0 Stars
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1 Resources
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Owner Reports Airfoil Performance Degradation due to Roughness and Leading-edge Erosion, data and plots Raw Data
**Overview**
Airfoil Performance Degradation due to Roughness and Leading-edge Erosion. The zip file contains analysis, charts, and photos.
Maniaci, D. and White, E. Wind Energy Technologies Office (WETO)
Jul 27, 2017
1 Resources
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1 Resources
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Surface Meteorological Station BAO West of Tower, Surface Processed Data
**Overview**
Proving basic surface meteorology, soil hydrology and temperature, and fluxes of energy (radiation and turbulent fluxes) and water (precipitation, evaporation, and soil moisture).
**Data Details**
Contact **David Noone**.
**Data Quality**
This dataset is prelimi...
Noone, D. Wind Energy Technologies Office (WETO)
Feb 28, 2015
1 Resources
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1 Resources
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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Reviewed Data
**Overview**
These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate).
**Data Details**
Data averaged over an interval of 30 minutes.
Wind Direction is from Geographic North.
Time stamp is included in each data file.
Location: Jo...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
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1 Resources
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Lidar LMCT WTX WindTracer, Gordon Ridge Raw Data
**Overview**
Long-range scanning Doppler lidar located on Gordon Ridge. The WindTracer provides high-resolution, long-range lidar data for use in the WFIP2 program.
**Data Details**
The system is configured to take data in three different modes. All three modes take 15 minutes ...
Barr, K. Wind Energy Technologies Office (WETO)
Nov 19, 2015
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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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data
**Overview**
The data provide vertical mean profiles of wind and temperature.
**Data Details**
* Data averaged over an interval of 30 minutes.
* Time stamp is included in each data file.
* Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751).
* Site Elevat...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation
**Overview**
A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...
Robertson, A. Wind Energy Technologies Office (WETO)
Apr 08, 2021
1 Resources
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Microwave Radiometer CU Radiometrics MWR, Condon Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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Publicly accessible
1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Microwave Radiometer UND Radiometrics MWR, Rufus Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence K Raw Data
**Overview**
Sequence K: Step AOA, Probes (P)
This sequence was designed to quantify the 3-D blade static angle-of-attack response in the
presence of rotational influences by varying the blade pitch angle. Sequence K used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 27, 2018
1 Resources
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Publicly accessible
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence L Raw Data
**Overview**
Sequence L: Step AOA, Parked (P)
This sequence was designed to quantify the 3-D blade static angle-of-attack response in the
absence of rotational influences by varying the blade pitch angle. This test sequence used an
upwind, rigid turbine with a 0° cone angle. Wi...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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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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
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1 Resources
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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
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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
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1 Resources
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wfip2.model/realtime.rap_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)
Nov 19, 2015
1 Resources
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1 Resources
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wfip2.model/refcst.01.fcst.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)
Jan 31, 2016
1 Resources
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1 Resources
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