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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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wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
0 Stars
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1 Resources
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wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
0 Stars
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1 Resources
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wfip2.model/refcstext.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
0 Stars
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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/refcst.coldstart.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)
Jan 31, 2016
1 Resources
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1 Resources
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Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber
The core objectives of this project is to improve the power capture of three different wave energy
conversion (WEC) devices by more than 50% using an advanced control system and validate the
attained improvements using wave tank and full scale testing. In parallel, we will bring a...
Previsic, M. et al Re Vision Consulting
Aug 26, 2020
3 Resources
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3 Resources
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OC6 Phase Ia Nonlinear hydrodynamic loading validation dataset
**Overview**
Two validation campaigns were examined within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) Phase 1 project to examine the modeling tools' underprediction of loads and motion of a floating wind semisubmersible (semi) at...
Robertson, A. Wind Energy Technologies Office (WETO)
Aug 08, 2021
1 Resources
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1 Resources
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Utah FORGE: Microseismic Events
This archive contains Excel spreadsheets containing microseismic events detected in the study area during Utah FORGE Phase 2C. The Readme file included that describes the meaning of the abbreviations used as field headers in the spreadsheets. Additionally, there is a .dat (text) f...
Rutledge, J. Energy and Geoscience Institute at the University of Utah
Jul 08, 2019
2 Resources
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2 Resources
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations
This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area:
An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...
Abraham, S. et al Energy and Geoscience Institute at the University of Utah
Mar 26, 2019
6 Resources
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6 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Stimulation Data (April, 2022)
This is a set of data related to the stimulation program at Utah FORGE well 16A(78)-32 during April, 2022. This includes daily reports, 1 second Pason data, tracer data, and shear stimulation data and information including a report of an evolving prognosis for the stimulation oper...
McLennan, J. Energy and Geoscience Institute at the University of Utah
May 18, 2022
11 Resources
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11 Resources
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Washington Geothermal Play Fairway Analysis Data From Potential Field Studies
A recent study which adapts play fairway analysis (PFA) methodology to assess geothermal potential was conducted at three locations (Mount Baker, Mount St. Helens seismic zone, and Wind River valley) along the Washington Cascade Range (Forson et al. 2017). Potential field (gravity...
Anderson, M. et al Washington Geological Survey
Dec 20, 2017
1 Resources
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1 Resources
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Utah FORGE: Phase 3 Microgravity Data
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Hardwick, C. Utah Geological Survey
Oct 07, 2020
1 Resources
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1 Resources
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Utah FORGE: Phase 3 InSAR Study Results
Ground movement is evaluated through analysis of Interferometric Synthetic Aperture Radar (InSAR) interferograms. Results indicate there has been no detectable ground movement at millimeter scale. The zipped file in this submission contains a report, maps, and results from the InS...
Feigl, K. and Batzli, S. Department of Geoscience University of Wisconsin-Madison
Sep 24, 2020
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INGENIOUS Great Basin Regional Dataset Compilation
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Ayling, B. et al GBCGE, NBMG, UNR
Jun 30, 2022
16 Resources
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16 Resources
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Utah FORGE: Earthquake Catalog
This is the set of earthquake catalogs developed for the Utah FORGE project covering December of 2016 through March of 2018. These are discussed in the "Utah FORGE Phase 2B Final Topical Report," which can be found on GDR under id: 1038 (See link 'Final Topical Report' in resource...
Pankow, K. Energy and Geoscience Institute at the University of Utah
Mar 21, 2018
2 Resources
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Innovative Play Fairway Modelling Applied to the Tularosa Basin Project Report
This report describes all of the work done in Phase I of a geothermal exploration project in the Tularosa Basin, as well as an outline for Phase II work, and more.
Bennett, C. et al University of Utah
Oct 16, 2015
1 Resources
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Utah FORGE: Phase 3 Native State Model 2022 Update
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Podgorney, R. and Liu, R. Idaho National Laboratory
Jul 29, 2022
1 Resources
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1 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
Oct 20, 2019
5 Resources
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5 Resources
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Washington Play Fairway Analysis Poly 3D Matlab Fault Modeling Scripts with Input Data to Create Permeability Potential Models
Matlab scripts and functions and data used to build Poly3D models and create permeability potential layers for 1) St. Helens Shear Zone, 2) Wind River Valley, and 3) Mount Baker geothermal prospect areas located in Washington state.
Swyer, M. et al AltaRock Energy Inc
May 01, 2017
3 Resources
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3 Resources
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Spooling control design for flight optimization of tethered tidal kites
This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting different control-based techniques to maximize the efficiency and robustness of a tethered energy-harvesting kite. Below are the abstracts of each ...
Daniels, J. et al North Carolina State University
Sep 16, 2019
3 Resources
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3 Resources
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Experimental Testing of a Floating Oscillating Surge Wave Energy Converter at Hinsdale Wave Research Laboratory
In order to generate a public data set that can be used to validate Wave Energy Converter (WEC) numerical codes, such as WEC-Sim, Sandia National Laboratories led an experimental testing campaign of a 1:33 scale Floating Oscillating Surge Wave Energy Converter (FOSWEC) in the Dire...
Ruehl, K. et al Sandia National Laboratories
Jun 15, 2016
3 Resources
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3 Resources
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