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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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
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
1 Resources
0 Stars
Publicly accessible
County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible
Wind Resources in Alaska
Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
AEDI, A. National Renewable Energy Laboratory
Dec 31, 2006
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data
**Overview**
Sequence O: Sin AOA, Parked (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
absence of rotational influences by varying blade pitch angle. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Log Project Event Log & Common Case Study Set Raw Data
**Overview**
This is the WFIP2 event log covering all sites and instruments for the entire project duration.
Final Event Log and Common Case Study Set
Additional details may be added here.
Sharp, J. et al Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Kinetics of Chlorite Dissolution at Elevated Temperatures and CO2 Conditions
Chlorite dissolution kinetics were measured under far from equilibrium conditions using a mixed-flow reactor over temperatures of 100-275 degrees C at pH values of 3.0-5.7 in a background solution matrix of 0.05 m NaCl. Over this temperature range, magnesium was released congruent...
Carroll, S. et al Lawrence Livermore National Laboratory
Jul 01, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Ocean Thermal Energy Conversion (OTEC) Datasets
The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources.
This project explored the feasibili...
Langle, N. et al National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
0 Stars
In curation
10 Resources
0 Stars
In curation
Lidar ND Halo Scanning Doppler, Boardman Reviewed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Cape EGS: Frisco Pad Wells Flow Test Microseismic Data
This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...
Dadi, S. and Kanu, O. Fervo Energy
Nov 06, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Imperial Valley Dark Fiber Project Continuous DAS Data
The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecomm...
Ajo-Franklin, J. et al Lawrence Berkeley National Laboratory
Nov 10, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Provider University of Washington Raw Data
**Overview**
GOES satellite, WSR-88D radar, sounding balloon, surface weather observation and mesoscale model data from the area within, up, and downstream of the study area for use in event logging procedures and case study investigations.
Wade, K. Wind Energy Technologies Office (WETO)
Oct 24, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Utah FORGE: Laboratory Experiments Examining the Effect of Thermal and Mechanical Processes on Hydraulic Transmissivity Evolution
Using laboratory slide-hold-slide experiments, at temperatures from 22 to 200 degrees C, to examine effects of fracture reactivation and quasi-static loading on the evolution of fluid transport properties of simulated fractures in Westerly granite. At all temperatures, the in-plan...
Lockner, D. et al United States Geological Survey
Apr 03, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible