Search OEDI Data
Showing results 51 - 75 of 286.
Show
results per page.
Order by:
Available Now:
Research Areas
Accessibility
Data Type
Organization
Source
ANL WRF-LES Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
ANL WRF-LES Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data
**Overview**
This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models.
**Data Details**
Stations 1-22 are sonic anemometers at a h...
Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)
May 06, 2021
1 Resources
0 Stars
Publicly accessible
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
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
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
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Goldendale Raw Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Yakima Raw Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 16, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Goldendale Reviewed Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Walla Walla Raw Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Walla Walla Reviewed Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ANL Wind Profiler, Yakima Reviewed Data
**Overview**
To provide lower-level wind speed and direction measurements.
**Data Quality**
Raw data are plotted, visually inspected on a daily basis, and uploaded to DAP every 15 minutes. Manual QA/QC procedures will be applied to the data for apparent outliers/physically impo...
Coulter, R. Wind Energy Technologies Office (WETO)
Mar 16, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
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.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.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.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
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
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
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
Publicly accessible
5 Resources
0 Stars
Publicly accessible
SNL SONIC Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Lubbock, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .mnd files from the Lubbock, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resourc...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jun 15, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL GIS Data: Global Offshore Wind
GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).
Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average = 10 months of data, no null...
Langle, N. National Renewable Energy Laboratory
Jul 30, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Radar ANL Wind Profiler with RASS, Goldendale 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 ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Yakima 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 ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Mar 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible