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Surface Meteorological Station BAO West of Tower, Surface Processed Data

**Overview** Proving basic surface meteorology, soil hydrology and temperature, and fluxes of energy (radiation and turbulent fluxes) and water (precipitation, evaporation, and soil moisture). **Data Details** Contact **David Noone**. **Data Quality** This dataset is prelimi...

Noone, D. Wind Energy Technologies Office (WETO)

Feb 28, 2015
1 Resources
0 Stars
Publicly accessible

Irradiation Data from NREL'S MDIC Stations

The Measurement and Instrumentation Data Center (MIDC) provides Irradiance and Meteorological Data from these stations: NREL Solar Radiation Research Lab, BSRN Prototype Station, Atmospheric Optical Calibration System, TSR-1, RSR Version 2, RSR Version 1, National Wind Technology...

Afshin, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

United States Mid-Atlantic Regional High Resolution Wind Resource

Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated by NREL a...

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

Nov 25, 2014
3 Resources
0 Stars
In curation

U.S. Wind Siting Regulation and Zoning Ordinances

A collection of documented wind siting ordinances at the state, county, township, and local level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (https://windexchange.energy.gov/policies-incentives), Nati...

Lopez, A. et al National Renewable Energy Laboratory (NREL)

Sep 25, 2019
1 Resources
0 Stars
Publicly accessible

U.S. State Wind Resource Potential

Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the “available” windy land area after exc...

Wood, J. and America, W. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)

This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained electricity (LDE) resource in the Uni...

Ruth. . et al National Renewable Energy Laboratory

Feb 20, 2023
5 Resources
0 Stars
Publicly accessible

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

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

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Publicly accessible

Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data

**Overview** Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature. **Data Details** * X (column 1) is a component of wind cm/s plus toward north. * Y (column 2) is a component of wind cm/s plus toward east. * Z (column 3) is...