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Surface Meteorological Station PNNL Short Tower, Grass Valley Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Sep 22, 2015
1 Resources
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Surface Meteorological Station PNNL Short Tower, Rufus Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Sep 23, 2015
1 Resources
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Surface Meteorological Station PNNL Short Tower, Umatilla Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Dec 14, 2015
1 Resources
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Surface Meteorological Station PNNL Short Tower, Hood River Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...

Berg, L. Wind Energy Technologies Office (WETO)

Sep 21, 2015
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
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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
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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
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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
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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)

Feb 09, 2016
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

Lidar California Leosphere Windcube 866 (130), Morro Bay Raw Data

**Overview** Deployment off the coast of Morro Bay, California. **Data Details** Windcube Data Files: lidar.z06.00.20200929.000000.gyro.7z lidar.z06.00.20200929.000000.rtd.7z lidar.z06.00.20200929.000000.sta.7z lidar.z06.00.20200929.000000.stdrtd.7z lidar.z06.00....

Gorton, A. Wind Energy Technologies Office (WETO)

Sep 28, 2020
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Lidar California Leosphere Windcube 866 (120), Humboldt Raw Data

**Overview** Deployment off the coast of Humboldt, California **Data Details** Windcube Data Files: lidar.z05.00.20200929.000000.gyro.7z lidar.z05.00.20200929.000000.rtd.7z lidar.z05.00.20200929.000000.sta.7z lidar.z05.00.20200929.000000.stdrtd.7z lidar.z05.00.20...

Gorton, A. Wind Energy Technologies Office (WETO)

Oct 01, 2020
1 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Yakima Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
0 Stars
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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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NREL Global Offshore Wind GIS Data

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 from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...

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

Nov 25, 2014
4 Resources
0 Stars
In curation

Lidar Massachusetts Leosphere Windcube 866 (120) Raw Data

**Overview** This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below. **Data Deta...

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 01, 2019
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Lidar Massachusetts Leosphere Windcube 866 (130) Raw Data

**Overview** This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below. **Data Deta...

Newsom, R. et al Wind Energy Technologies Office (WETO)

Dec 10, 2019
1 Resources
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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
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PNNL 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
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Publicly accessible

PNNL Laser Disdrometer #1 pre-campaign / Raw Data

**Overview** The Parsivel2 Laser Disdrometers provide accurate measurements of precipitation, hail and snow. They also provide droplet size distributions.

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Dec 21, 2021
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