Search OEDI Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Reviewed Data

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data

**Overview** This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models. **Data Details** Stations 1-22 are sonic anemometers at a h...

Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)

May 06, 2021
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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
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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
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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
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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
Publicly accessible

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
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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
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Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Derived Data

**Overview** This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging). **Data Details** Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Apr 01, 2016
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Derived Data

**Overview** This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging). **Data Details** Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Derived Data

**Overview** This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging). **Data Details** Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
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Surface Meteorological Station PNNL 3m Tower, Physics site-8 Raw Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by th...

Morris, V. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station PNNL 3m Tower, Physics site-7 Raw Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by th...

Morris, V. Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station PNNL 3m Tower, Physics site-7 Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Feb 17, 2016
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Surface Meteorological Station PNNL 3m Tower, Physics site-8 Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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
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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
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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
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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
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wfip2.model/refcstext.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)

Feb 09, 2016
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wfip2.model/refcstext.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)

Feb 09, 2016
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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
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wfip2.model/refcstext.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)

Feb 09, 2016
1 Resources
0 Stars
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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
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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
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