Search OEDI Data

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
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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 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
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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
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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 10m Sonic, Physics site-10 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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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Raw 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
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw 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
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 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
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Raw 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
1 Resources
0 Stars
Publicly accessible

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
1 Resources
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Publicly accessible

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
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
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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
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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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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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
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Develop and verify soil/structure interaction for pile/foundation interaction

**Overview** Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...

Robertson, A. Wind Energy Technologies Office (WETO)

Jun 02, 2022
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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
0 Stars
Publicly accessible

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
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
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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
1 Resources
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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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