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Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
2 Resources
0 Stars
In curation

Lidar California Leosphere Windcube 866 (130), Morro Bay Raw Data

**Overview** Deployment off the coast of Morro Bay, California. **Data Details** Windcube Data Files: lidar.z06.00.20200929.000000.gyro.7z lidar.z06.00.20200929.000000.rtd.7z lidar.z06.00.20200929.000000.sta.7z lidar.z06.00.20200929.000000.stdrtd.7z lidar.z06.00....
Gorton, A. Wind Energy Technologies Office (WETO)
Sep 28, 2020
1 Resources
0 Stars
Publicly accessible

U.S. Great Lakes Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

Site B PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site B
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
0 Stars
Publicly accessible

Site G PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site G
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
0 Stars
Publicly accessible

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

Site A2 PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A2
Goldberger, L. Wind Energy Technologies Office (WETO)
Dec 13, 2021
1 Resources
0 Stars
Publicly accessible

Site A4 PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A4
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
0 Stars
Publicly accessible

Site A5 PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A5
Goldberger, L. Wind Energy Technologies Office (WETO)
Jan 10, 2022
1 Resources
0 Stars
Publicly accessible

Site A7 PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A7.
Goldberger, L. Wind Energy Technologies Office (WETO)
Oct 29, 2021
1 Resources
0 Stars
Publicly accessible

Site C1 PNNL Surface Met Station / Raw Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at American WAKE experimeNt (AWAKEN) Site C1
Goldberger, L. Wind Energy Technologies Office (WETO)
Dec 13, 2021
1 Resources
0 Stars
Publicly accessible

Site A4 PNNL Surface Met Station / Reviewed Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A4
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
0 Stars
Publicly accessible

University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated

Combined Wind/Wave Hurricane Model

The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...
Phillips, C. and Laboratory, N. National Renewable Energy Laboratory
May 06, 2015
1 Resources
0 Stars
In curation

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

UAE6 Wind Tunnel Tests Data UAE6 Sequence H Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30 to 180° were achieved at low wind speeds,...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence I Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence J Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Raw Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible
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