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Lidar CU WindCube V1 Profiler, Troutdale Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Wasco Airport Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V2 Profiler, Gordons Ridge Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar PNNL Scintec MFAS, Oregon Raceway Park Reviewed Data
**Overview**
These data provide measurements of wind speed and direction up to 400 m above ground level (AGL) (max). The data are stored in two forms: ASCII and raw (binary). ASCII files contain averaged data (currently: 15 min time step and 10 m range gate). Raw files can be rep...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Oct 07, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Sodar Ainsworth, NE Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 21, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Brady, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Cleburne, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 17, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Jayton, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Leeds, ND Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 20, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Lubbock, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jun 05, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Ozona, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 17, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Reagan, TX Raw Data
**Data Details**
Datasets are provided as ZIP files that contain all data for the campaign.
Burk, K. Wind Energy Technologies Office (WETO)
Jul 28, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Thermal Tracker California Thermal Tracker (120), Humboldt Raw Data
**Overview**
ThermalTracker offshore validation
Matzner, S. Wind Energy Technologies Office (WETO)
May 11, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Sodar NREL Scintex SFAS Wind Profiler, Condon Raw Data
**Overview**
The dataset includes 15-minute average wind speed and direction records from 10 m to 250 m above ground level (AGL) in 5-m range gates. Data were collected by a Scintec SFAS wind profiler installed at the Condon State Airport in Oregon, about 1.8 km northeast of the ...
Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Sodar NREL Scintex SFAS Wind Profiler, Condon Reviewed Data
**Overview**
The dataset includes 15-minute average wind speed and direction records from 10 m to 250 m above ground level (AGL) in 5-m range gates. Data were collected by a Scintec SFAS wind profiler installed at the Condon State Airport in Oregon, about 1.8 km northeast of the ...
Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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U.S. Wind and Solar PV Supply Curves with Future Land-use Change
This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Jan 10, 2024
4 Resources
0 Stars
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4 Resources
0 Stars
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Validation of Innovative Exploration Technologies for Newberry Volcano: Drill Site Location Map
Newberry seeks to explore "blind" (no surface evidence) convective hydrothermal systems associated with a young silicic pluton on the flanks of Newberry Volcano. This project will employ a combination of innovative and conventional techniques to identify the location of subsurface...
Jaffe, T. Davenport Newberry Holdings, LLC
Jan 01, 2012
1 Resources
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1 Resources
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Baseline System Costs for a 50 MW Enhanced Geothermal System 2012
Substantial unexploited opportunity exists for the US, and the world, in Enhanced Geothermal Systems (EGS). This cost analysis study provides a baseline cost for a 50 MW Geothermal Power Plant in a challenging New England environment. The study then assesses how project costs wo...
Selman, N. Gas Equipment Engineering Corporation
Apr 30, 2012
1 Resources
0 Stars
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1 Resources
0 Stars
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
1 Resources
0 Stars
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1 Resources
0 Stars
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West Flank Coso FORGE: Refined Earthquake Focal Mechanism Catalog for Southern California (1981-2010)
A refined earthquake mechanism catalog for southern Califiornia using the HASH method and locations derived from waveform cross-correlation. Each focal mechanism is obtained from grid searching for the best-fitting double-couple focal mechanism solution to both the P-wave first mo...
Blankenship, D. Sandia National Laboratories
Dec 31, 2014
1 Resources
0 Stars
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1 Resources
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PoroTomo: BRAD, BRDY, and BRD1 GPS Station Webpages
This dataset provides links to the GPS station websites for the BRAD, BRDY, and BRD1 GPS stations at Brady's Hot Springs in Nevada. The website is hosted by the Nevada Geodetic Laboratory, and provides plots and time series data for each of the GPS station's locations.
Kreemer, C. University of Wisconsin
Jul 17, 2017
3 Resources
0 Stars
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3 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
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1 Resources
0 Stars
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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
0 Stars
Publicly accessible