Search OEDI Data

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

Apr 01, 2016
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 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-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 3m Tower, Physics site-8 Raw 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 th...

Morris, V. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station PNNL 3m Tower, Physics site-7 Raw 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 th...

Morris, V. Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station PNNL 3m Tower, Physics site-7 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)

Feb 17, 2016
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Surface Meteorological Station PNNL 3m Tower, Physics site-8 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)

Feb 14, 2016
1 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...

Folsom, M. et al Ormat Technologies, Inc.

Nov 09, 2016
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Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies

According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...

Harto, C. et al Argonne National Laboratory

Dec 16, 2014
13 Resources
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TigerRAY Moored Deployment Data

This respiratory contains TigerRAY moored deployment data for each day in which data was collected between January 10, 2024 and March 3, 2024. For sensors on and inside TigerRAY, there is one .mat file for each day in which TigerRAY operated and collected data. These files are lab...

Rusch, C. et al University of Washington Applied Physics Lab

Mar 05, 2024
16 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
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NWEI Azura January 2016 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawai'i (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing s...

Lettenmaier, T. Northwest Energy Innovations

Jan 01, 2016
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Fallon FORGE: Well Data, Geophysical Data, and Geologic Maps

The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric, earthquake seismicity, and temperature data from the Navy GPO and Ormat. Also included are geologic maps from the USGS a...

Blankenship, D. Sandia National Laboratories

Mar 31, 2016
54 Resources
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Utah FORGE: Seismic Velocity Models, February 2021

This dataset contains a map, showing the Utah FORGE seismic stations, and seismic velocity model data. There are 61 1-D velocity models which are in a compressed TAR file. A paper is referenced at the end of this description which discusses the use of these data in 3D modelling. T...

Pankow, K. Energy and Geoscience Institute at the University of Utah

Feb 28, 2021
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NWEI Azura March 2016 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing sp...

Lettenmaier, T. Northwest Energy Innovations

Mar 31, 2016
8 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...

Vesselinov, V. Los Alamos National Laboratory

Mar 29, 2021
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