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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Derived Data

**Overview** This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging). **Data Details** Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Derived Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Derived Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Apr 01, 2016
1 Resources
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Federal Greenhouse Gas Inventories and Performance

The Federal Energy Management Program (FEMP) provides progress data tables illustrating Federal agency progress in meeting the greenhouse gas (GHG) reduction targets established under Executive Order (E.O.) 13514, as well as the comprehensive greenhouse gas inventories as reported...

Tremper, C. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
0 Stars
In curation

Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
0 Stars
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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Raw Data

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Reviewed Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Reviewed Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Raw Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Reviewed Data

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Mar 31, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data

**Overview** The data included features wind, temperature, and turbulence measurements. **Data Details** Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 13, 2016
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
0 Stars
Publicly accessible

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...

Zeng, Z. et al Argonne National Laboratory

Jul 14, 2024
5 Resources
0 Stars
Curated

Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Derived Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Derived Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Derived Data

Federal Greenhouse Gas Inventories and Performance

Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Raw Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Reviewed Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Reviewed Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Raw Data

Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Reviewed Data

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data

Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data

Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

Error-Level-Controlled Synthetic Forecasts for Renewable Generation