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Radar ANL Wind Profiler, Walla Walla 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)
Apr 05, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ARL Wind Profilerwith RASS, Boardman 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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar DOE ARM StreamLine Doppler Lidar (Halo) Raw Data
**Overview**
Refer to attached documentation.
**Data Details**
**Product type should be "derived" not "observed."**
**Data Quality**
Refer to attached documentation.
**Uncertainty**
Refer to attached documentation.
Newsom, R. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
PNNL Parsivel2 Laser Disdrometer #2 pre-campaign / Raw Data
**Overview**
The Parsivel2 Laser Disdrometers provide accurate measurements of precipitation, hail and snow. They also provide droplet size distributions.
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Dec 26, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
PNNL MET #1 pre-campaign / Raw Data
**Overview**
This dataset tests the data transfer and processing for a surface flux station, which includes low-speed weather information and high-speed sonic anemometer data.
Goldberger, L. Wind Energy Technologies Office (WETO)
Sep 22, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
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
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
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
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
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Wind Turbine Transmission Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed, and these varied widely across the...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Railroad Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a railroad that an energy project may be developed, and these varied widely across the counties in which th...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Road Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they exis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
NWTC Ceilometer (1) Pre-campaign / Raw Data
**Overview**
This instrument will be testing the data transfer process pre-before deploying the campaign. The netCDF L1 data file contains level 1 (L1) data from the ceilometer.
**Data Quality**
Raw data from ceilometer
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible