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Utah High Resolution Wind Resource

Annual average wind resource potential for the state of Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefi...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

Annual average wind resource potential for the state of Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gener...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

United States Mid-Atlantic Regional High Resolution Wind Resource

Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated by NREL a...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

United States Pacific Northwest Regional High Resolution Wind Resource

Annual average wind resource potential of the northwestern United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

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
1 Resources
0 Stars
Publicly accessible

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

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
Publicly accessible

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

Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands at a 100 Meter Hub Height

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...

Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...

Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

UAE6 Wind Tunnel Tests Data UAE6 Sequence 6 Raw Data

**Overview** Sequence 6: Shroud Wake Measure (P) This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds for this sequence corresponded to subcritical [7 m/s], transitional [15 m/s], and supercritical [20 m/s] Reynolds number regimes for the ci...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

California Quality-Controlled Reanalysis and Observational Data for Buoy (130), Morro Bay / Derived Data

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...

Sheridan, L. Wind Energy Technologies Office (WETO)

Sep 30, 2020
1 Resources
0 Stars
Publicly accessible

California Quality-controlled Reanalysis and Observational Data for Buoy (120), Humboldt / Derived Data

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...

Sheridan, L. Wind Energy Technologies Office (WETO)

Sep 30, 2020
1 Resources
0 Stars
Publicly accessible

Lidar HilFlowS LLNL WindCube v2 EOP Processed Data

**Overview** The WindCube v2 is a pulsed LIDAR and uses four beams sent in succession in the four cardinal directions along a 28°scanning cone angle to measure horizontal velocity and wind direction. A fifth beam is sent in the vertical direction to measure vertical velocity. Me...

Wharton, S. and , . Wind Energy Technologies Office (WETO)

Jul 07, 2019
1 Resources
0 Stars
Publicly accessible

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Aug 18, 2022
3 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence 7 Raw Data

**Overview** Sequence 7: Shroud Operating (P) This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Turntable angles from 0° to 30° were achieved, but the yaw error angle was maintained at 0° by adjusting the na...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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

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

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

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