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Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...

Langle, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
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NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
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Minnesota High Resolution Wind Resource

Annual average wind resource potential for Minnesota 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. ###Original data Data from [...

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

Nov 25, 2014
3 Resources
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Pakistan Wind Resources

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...

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

Nov 25, 2014
5 Resources
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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
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data

**Overview** The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...

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

Jul 07, 2019
1 Resources
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Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Curated

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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Wind Energy Resource Data

NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...

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

Nov 25, 2014
1 Resources
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In curation

Radar 449MHz Astoria, OR (AST) Raw Data

**Overview** **Winds.** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities...

Gottas, D. Wind Energy Technologies Office (WETO)

Sep 02, 2015
1 Resources
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Radar 449MHz Forks, WA (FKS) Raw Data

Gottas, D. Wind Energy Technologies Office (WETO)

Jul 22, 2015
1 Resources
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Radar 449MHz Astoria, OR (AST) Reviewed Data

Gottas, D. Wind Energy Technologies Office (WETO)

Sep 02, 2015
1 Resources
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Radar 449MHz Forks, WA (FKS) Reviewed Data

Gottas, D. Wind Energy Technologies Office (WETO)

Jul 23, 2015
1 Resources
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Radar 449MHz North Bend, OR (OTH) Raw Data

Gottas, D. Wind Energy Technologies Office (WETO)

Oct 14, 2015
1 Resources
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Radar 449MHz North Bend, OR (OTH) Reviewed Data

Gottas, D. Wind Energy Technologies Office (WETO)

Oct 14, 2015
1 Resources
0 Stars
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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)