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Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...

Bershaw, J. et al Portland State University

Jun 29, 2020
2 Resources
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Lidar LLNL ZephIR Profiler, Arlington Airport Reviewed Data

**Overview** These are 10-min averaged data from a vertical-profiling ZephIR 300 lidar. Data collected at the Arlington airport for the WFIP2 project. March 10, 2016 April 1, 2017 **Data Details** 1 Hz data are available from: wharton4@llnl.gov **Data Quality** Instrument ...

Wharton, S. Wind Energy Technologies Office (WETO)

Mar 09, 2016
1 Resources
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Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data

**Overview** The Geostationary Operational Environmental Satellite (GOES) records sky brightness temperatures and irradiances at several wavelengths. From these the cloud microphysical and optical properties can be routinely retrieved. These properties are derived using the techn...

Surleta, T. Wind Energy Technologies Office (WETO)

Apr 13, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Prineville 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)

Aug 09, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Condon 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)

Sep 29, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Troutdale 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)

Sep 21, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Wasco Airport 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)

Sep 30, 2015
1 Resources
0 Stars
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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
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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
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Radar ARL Wind Profilerwith RASS, Boardman 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)

Sep 29, 2015
1 Resources
0 Stars
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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
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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...

Davalos Elizondo, E. et al National Renewable Energy Laboratory

Feb 06, 2023
6 Resources
0 Stars
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Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...

Mordensky, S. et al United States Geological Survey

Feb 07, 2023
7 Resources
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Maps, Models and Data from Southeastern Great Basin PFA

This submission includes composite risk segment models in raster format for permeability, heat of the earth, and MT, as well as the final PFA model of geothermal exploration risk in Southwestern Utah, USA. Additionally, this submission has data regarding hydrothermally altered are...

Nash, G. Energy and Geoscience Institute at the University of Utah

Jun 30, 2017
7 Resources
0 Stars
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EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test

This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from...

Zhang, Y. et al Stanford University

Jan 01, 2022
4 Resources
0 Stars
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EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...

Guglielmi, Y. Lawrence Berkeley National Laboratory

Sep 24, 2020
9 Resources
0 Stars
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Lidar CU WindCube V1 Profiler, Troutdale Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
0 Stars
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Lidar CU WindCube V1 Profiler, Wasco Airport Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Feb 22, 2016
1 Resources
0 Stars
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Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 15, 2015
1 Resources
0 Stars
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WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities ...

Miara, A. et al National Renewable Energy Laboratory

Feb 01, 2022
16 Resources
0 Stars
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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
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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
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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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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
0 Stars
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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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