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Lidar ND Halo Scanning Doppler, Boardman Processed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
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1 Resources
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Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)
This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
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16 Resources
0 Stars
Publicly accessible
Lidar NOAA High Resolution Doppler Lidar (HRDL) Raw Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Raw Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 04, 2015
1 Resources
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1 Resources
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Radar TTU Ka-band, ka1 Raw Data
**Overview**
The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
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1 Resources
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Radar TTU Ka-band, ka2 Raw Data
**Overview**
The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Derived Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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Publicly accessible
1 Resources
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Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Derived Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
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1 Resources
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Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Processed Data
**Data Details**
Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 07, 2015
1 Resources
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1 Resources
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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
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1 Resources
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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
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1 Resources
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Lidar ESRL WindCube 200s, Arlington Airport Processed Data
**Overview**
The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Sep 24, 2015
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 8 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
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 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 9 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
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 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.graphics.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)
Dec 14, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.icbc.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)
Dec 01, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_wfip2.graphics.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)
Dec 16, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_wfip2.icbc.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)
Dec 01, 2015
1 Resources
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Publicly accessible
1 Resources
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wfip2.model/realtime.rap_esrl.icbc.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)
Nov 19, 2015
1 Resources
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1 Resources
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wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
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1 Resources
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