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Surface Meteorological Station PNNL Short Tower, Hood River 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)

Sep 21, 2015
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Surface Meteorological Station PNNL Short Tower, Rufus 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)

Sep 23, 2015
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Surface Meteorological Station PNNL Short Tower, Umatilla 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)

Aug 31, 2015
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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
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Radar ANL Wind Profiler with RASS, Goldendale Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Jul 11, 2016
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Radar ANL Wind Profiler with RASS, Yakima Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Mar 17, 2016
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Radar ESRL Wind Profiler with RASS, Condon Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Sep 29, 2015
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Radar ESRL Wind Profiler with RASS, Prineville Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Aug 09, 2015
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Radar ESRL Wind Profiler with RASS, Troutdale Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Sep 21, 2015
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Radar ESRL Wind Profiler with RASS, Wasco Airport Reviewed Data

**Overview** Wind Profiler with Radio Acoustic Sounding System (RASS) data. **Data Quality** Automatic quality control (QC) followed by visual manual QC.

Wilczak, J. Wind Energy Technologies Office (WETO)

Sep 30, 2015
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Radar ESRL Wind Profiler with RASS, Wasco Airport Derived Data

**Overview** Profiles of turbulence dissipation rate for 15-minute intervals, time-stamped at the beginning of the 15-minute period, during the final 30 minutes of each hour. During that time, the 915-MHz wind profiling radar was in an optimized configuration with a vertically po...

McCaffrey, K. Wind Energy Technologies Office (WETO)

Oct 12, 2015
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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
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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-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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Sodar PNNL Scintec MFAS, Oregon Raceway Park Reviewed Data

**Overview** These data provide measurements of wind speed and direction up to 400 m above ground level (AGL) (max). The data are stored in two forms: ASCII and raw (binary). ASCII files contain averaged data (currently: 15 min time step and 10 m range gate). Raw files can be rep...

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

Oct 07, 2015
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Sounding System UMBC Soundings Raw Data

**Overview** Sounding data from Watertank (site of NOAA's High Resolution Doppler Lidar) for comparison with microwave profilers. **Data Quality** Data quality based on RS92 Vaisala quality controls. Data wasa collected with a MW31 Vaisala DigiCORA Sounding System.

St.Pe, A. Wind Energy Technologies Office (WETO)

Apr 14, 2015
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Radar NOAA 449 MHz Wind Profiler with RASS Raw Data

**Overview** Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level. **Data Details** Raw files contain radial velocity (ms-1), signal-to-noise ratio (dB), signal power (dB), spectral width (ms-1), and noise ampli...

Bianco, L. Wind Energy Technologies Office (WETO)

Feb 28, 2015
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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

**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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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)

Feb 09, 2016
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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
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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
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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
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wfip2.model/retro.rap.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)

Feb 09, 2016
1 Resources
0 Stars
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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
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