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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data

**Overview** Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data. **Data Details** T/RH events history is available in the attached Excel file: *PS01-TRH-3m *PS01-TRH-10m *PS02...

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Buoy California Wind Sentinel (130), Morro Bay Processed Data

**Overview** The purpose of the dataset is to provide preliminary filtered, averaged buoy data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted o...

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Jan 04, 1980
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

Buster, G. et al The National Renewable Energy Lab (NREL)

Apr 19, 2023
7 Resources
1 Stars
Curated

Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

Many weather years of high-quality wind data are widely accepted in the grid integration community to be important for studying wind energy technical potential, energy system operations, and grid resilience. NREL makes high-quality wind and solar resource data available. NREL's G...

Buster, G. et al The National Renewable Energy Lab (NREL)

Oct 15, 2024
6 Resources
0 Stars
Curated

Lidar Massachusetts Leosphere Windcube 866 (120) Raw Data

**Overview** This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below. **Data Deta...

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 01, 2019
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Lidar Massachusetts Leosphere Windcube 866 (130) Raw Data

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 10, 2019
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 4 Raw Data

**Overview** Sequence 4: Static Pressure Calibration (P) This test sequence used a downwind, teetered turbine with a 3.4Â° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of 0Â° to 30Â° were achieved. The blade tip pitch was 3Â°. The rotor rotated at 72 RPM. B...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 6 Raw Data

**Overview** Sequence 6: Shroud Wake Measure (P) This test sequence used a downwind, rigid turbine with a 3.4Â° cone angle. The wind speeds for this sequence corresponded to subcritical [7 m/s], transitional [15 m/s], and supercritical [20 m/s] Reynolds number regimes for the ci...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence F Raw Data

**Overview** Sequence F: Downwind High Cone (F) This test sequence used a downwind, rigid turbine with an 18Â° cone angle. The wind speed ranged from 10 m/s to 20 m/s. Excessive inertial loading due to the high cone angle prevented operation at lower wind speeds. Yaw angles of Â...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 27, 2018
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Sodar Cleburne, TX Processed Data

**Overview** This dataset was produced from the raw sodar .dat files from the Cleburne, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resour...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 17, 2011
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Sodar Ozona, TX Processed Data

**Overview** This dataset was produced from the raw sodar .dat files from the Ozona, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource ...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 17, 2011
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Sodar Reagan, TX Processed Data

**Overview** This dataset was produced from the raw sodar .dat files from the Reagan, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource...

Sheridan, L. Wind Energy Technologies Office (WETO)

Aug 03, 2011
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Lidar HilFlowS LLNL ZephIR300 MOP Processed Data

**Overview** The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...

Wharton, S. and , . Wind Energy Technologies Office (WETO)

Jul 07, 2019
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Lidar HilFlowS LLNL ZephIR300 WOP Processed Data

Wharton, S. and , . Wind Energy Technologies Office (WETO)

Jul 07, 2019
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Lidar ND Halo Scanning Doppler, Boardman Reviewed 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
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wfip2.model/retro.hrrr.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)