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University of Oregon: GPS-based Precipitable Water Vapor (PWV)

A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.

Andreas and VignolaNational Renewable Energy Laboratory

Jan 19, 2016
1 Resources
0 Stars
Publicly accessible

U.S. Wind Siting Regulation and Zoning Ordinances

A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...

Lopez, A. et al National Renewable Energy Laboratory

Jun 30, 2022
6 Resources
1 Stars
Publicly accessible

Microwave Radiometer CU Microwave Radiometer Raw Data

**Overview** Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) up to 10km. **Data Details** lv0 files contain raw, unprocessed data in engineering units. lv1 files contain real-time brightness temperatures for each ...

Bianco, L. Wind Energy Technologies Office (WETO)

Mar 08, 2015
1 Resources
0 Stars
Publicly accessible

Microwave Radiometer NOAA Microwave Radiometer Raw Data

Bianco, L. Wind Energy Technologies Office (WETO)

Mar 08, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON1 Raw 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 07, 2015
1 Resources
0 Stars
Publicly accessible

NREL Global Offshore Wind GIS Data

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Dec 06, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 27, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jul 06, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jan 12, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data

**Overview** The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...

Wharton, S. and , . Wind Energy Technologies Office (WETO)

Jul 07, 2019
1 Resources
0 Stars
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Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Lisell. . et al National Renewable Energy Laboratory

Mar 13, 2018
3 Resources
0 Stars
Publicly accessible

The measurement of depth of water in oceans, seas, or lakes GEBCO bathymetry gridded data for North Sea / Baltic Sea Derived Data

**Overview** This dataset contains global bathymetry, or water depth, measurements from the General Bathymetric Chart of the Oceans (GEBCO), converted into the format needed for WRF's Pre-processing System (WPS). The data are read in for the use of a depth-dependent water surface...

Hawbecker, P. Wind Energy Technologies Office (WETO)

Dec 31, 2019
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 10m Sonic, Physics site-10 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
1 Resources
0 Stars
Publicly accessible

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

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University of Oregon: GPS-based Precipitable Water Vapor (PWV)

U.S. Wind Siting Regulation and Zoning Ordinances

Microwave Radiometer CU Microwave Radiometer Raw Data

Microwave Radiometer NOAA Microwave Radiometer Raw Data

Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

NREL Global Offshore Wind GIS Data

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data

Quantifying and Monetizing Renewable Energy Resiliency

The measurement of depth of water in oceans, seas, or lakes GEBCO bathymetry gridded data for North Sea / Baltic Sea Derived Data

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

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

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

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