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Buoy California Wind Sentinel (130), Morro Bay Raw Data

**Overview** Deployment off the coast of Morro Bay, California **Data Details** Buoy Data Files name like: buoy.z06.00.20200929.000000.currents.csv buoy.z06.00.20200929.000000.gill.csv buoy.z06.00.20200929.000000.gps.csv buoy.z06.00.20200929.000000.pressure.csv b...

Gorton, A. Wind Energy Technologies Office (WETO)

Sep 28, 2020
1 Resources
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Lidar California Leosphere Windcube 866 (120), Humboldt Raw Data

**Overview** Deployment off the coast of Humboldt, California **Data Details** Windcube Data Files: lidar.z05.00.20200929.000000.gyro.7z lidar.z05.00.20200929.000000.rtd.7z lidar.z05.00.20200929.000000.sta.7z lidar.z05.00.20200929.000000.stdrtd.7z lidar.z05.00.20...

Gorton, A. Wind Energy Technologies Office (WETO)

Oct 01, 2020
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Surface Meteorological Station ANL 10m tower, Goldendale Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Yakima Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
0 Stars
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Lidar CU WindCube V1 Profiler, Troutdale Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
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Lidar CU WindCube V1 Profiler, Wasco Airport Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Feb 22, 2016
1 Resources
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Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 15, 2015
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence B Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 14, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence C Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 14, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence D Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 14, 2018
1 Resources
0 Stars
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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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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

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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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

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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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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wfip2.model/refcst.01.fcst.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)

Jan 31, 2016
1 Resources
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wfip2.model/refcst.02.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
0 Stars
Publicly accessible

wfip2.model/refcst.02.fcst.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)

Jan 31, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcst.coldstart.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)

Jan 31, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcstext.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
0 Stars
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