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Radar 915MHz Leeds, ND Raw Data
**Overview**
Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)
Burk, K. Wind Energy Technologies Office (WETO)
Jun 15, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar 915MHz Mobridge, SD Raw Data
**Overview**
Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)
Burk, K. Wind Energy Technologies Office (WETO)
Jun 14, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar 915MHz Souix City, IA Raw Data
**Overview**
Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)
Burk, K. Wind Energy Technologies Office (WETO)
Dec 08, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar 915MHz Saint James, MN Raw Data
**Overview**
Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)
Burk, K. Wind Energy Technologies Office (WETO)
Jun 22, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar Colorado City, TX Raw Data
**Overview**
Raw data captured from the NOAA ESRL website:
https://www.esrl.noaa.gov/psd/data/obs/data/
Hourly Radar Winds (WwWind) and Temperature (WwTemp)
Burk, K. Wind Energy Technologies Office (WETO)
Oct 19, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands
This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...
Geospatial, N. National Renewable Energy Laboratory
Jan 01, 2025
28 Resources
0 Stars
Publicly accessible
28 Resources
0 Stars
Publicly accessible
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
1 Resources
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Publicly accessible
WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This data was prepared by 3TIER ...
Draxl and Mathias-HodgeNational Renewable Energy Laboratory
Oct 17, 2016
1 Resources
0 Stars
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence V Raw Data
**Overview**
Sequence V: Tip Plate (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, and the yaw angle was held at 0°. The blade pitch angle was 3°. The rotor
rotated at 72 RPM. Blade pressure measurements w...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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Publicly accessible
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence F Raw Data
**Overview**
Sequence F: Downwind High Cone (F)
This test sequence used a downwind, rigid turbine with an 18° cone angle. The wind speed
ranged from 10 m/s to 20 m/s. Excessive inertial loading due to the high cone angle prevented
operation at lower wind speeds. Yaw angles of �...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 27, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
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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
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
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
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
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
1 Resources
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Iowa High Resolution Wind Resource
Annual average wind resource potential for the state of Iowa 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 generate...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
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
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1 Resources
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Nevada High Resolution Wind Resource
Annual average wind resource potential for the state of Nevada, United States at a 50 meter height.
The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This m...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
New Mexico High Resolution Wind Resource
Annual average wind resource potential for the state of New Mexico at a 50 meter height.
The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
United States Offshore Wind Supply Curves 2024
This data packet contains supply curves, hourly generation profiles, and composite siting exclusion TIFFs for offshore wind (OSW) in the waters of the EEZ off the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), level...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
15 Resources
0 Stars
Publicly accessible
15 Resources
0 Stars
Publicly accessible
Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
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In curation
2 Resources
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In curation
Ridgelines: Department of Interior Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
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Publicly accessible
3 Resources
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Quantifying and Monetizing Renewable Energy Resiliency
As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.
Lisell. . et al National Renewable Energy Laboratory
Mar 13, 2018
3 Resources
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3 Resources
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