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Sodar Jayton, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .txt files from the Jayton, 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 14, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Sodar Lubbock, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .mnd files from the Lubbock, 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 resourc...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jun 15, 2011
1 Resources
0 Stars
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1 Resources
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Publicly accessible
Sodar Colorado City, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .txt files from the Colorado City, 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 r...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
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Sodar St. James, MN Processed Data
**Overview**
This dataset was produced from the raw sodar .wtb files from the St. James, MN 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 reso...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 27, 2011
1 Resources
0 Stars
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1 Resources
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Microwave Radiometer UMBC Microwave Radiometer Raw Data
**Overview**
Kipp & Zonen Microwave Temperature Profiler (MTP-5) with a 5 min temporal and 50 m vertical resolution.
Delgado, R. Wind Energy Technologies Office (WETO)
Apr 10, 2015
1 Resources
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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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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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1 Resources
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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
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
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
1 Resources
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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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Radar TTU radar Raw Data
**Overview**
This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data.
**Data Details**
These data have been provided by Texas Tech University, from their boundary layer radar profiler.
**Data Quality**
These data have been acquired in ...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
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1 Resources
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Tower TTU (SWiFT) Tower, All levels Raw Data
**Overview**
This dataset includes a diurnal cycle with a consistent Convective-Neutral-Stable overnight transition after a frontal passage.
**Data Details**
These data have been provided by Texas Tech University from their 200-m meteorological tower.
**Data Quality**
See rep...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
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1 Resources
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Ceilometer ND Ceilometer, Wasco Airport Raw Data
**Overview**
Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously.
**Data Details**
Measurements taken in the standard measuring mode, where the C...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Jan 14, 2015
1 Resources
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1 Resources
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Lidar DTU SpinnerLidar Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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Wind Turbine SWiFT southeast WTGa1 Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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Surface Meteorological Station SWiFT southwest METa1 Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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Sonic Anemometer BAO Tower, All levels Raw Data
**Overview**
This dataset is used to monitor different atmospheric variables over many levels of the 300-m Boulder Atmospheric Observatory (BAO) tower.
**Data Details**
* Level 00 files contain the high rate non-tilt-corrected measurements.
* Level 01 files contain the high r...
Bianco, L. Wind Energy Technologies Office (WETO)
Feb 28, 2015
1 Resources
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1 Resources
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NWTC Ceilometer (1) Pre-campaign / Reviewed Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign. The netCDF L2 data file from the ceilometer contains level 2 (L2) data that has gone through the precalculation service and averaging.
The profile is set to 4500 m (14 764 ft).
...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
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1 Resources
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Tower TTU (SWiFT) Tower, All levels Processed Data
**Overview**
This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running a...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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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
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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wfip2.model/retro.hrrr.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
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.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
1 Resources
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1 Resources
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wfip2.model/retro.rap.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
1 Resources
0 Stars
Publicly accessible
1 Resources
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wfip2.model/retro.hrrr.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
Publicly accessible
1 Resources
0 Stars
Publicly accessible