NREL GIS Data: Connecticut Wind High Resolution
Abstract: Annual average wind resource potential for the state of Connecticut at a 50 meter height.
Purpose: Provide information on the wind resource development potential within the state of Connecticut.
Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system.
Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.
Citation Formats
TY - DATA
AB - Abstract: Annual average wind resource potential for the state of Connecticut at a 50 meter height.
Purpose: Provide information on the wind resource development potential within the state of Connecticut.
Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system.
Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.
AU - Aabakken, Jørn
A2 - Laboratory, National Renewable Energy
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - Connecticut
KW - GIS
KW - NREL
KW - Resource
KW - wind
LA - English
DA - 2014/11/25
PY - 2014
PB - National Renewable Energy Laboratory
T1 - NREL GIS Data: Connecticut Wind High Resolution
UR - https://data.openei.org/submissions/323
ER -
Aabakken, Jørn, and National Renewable Energy Laboratory. NREL GIS Data: Connecticut Wind High Resolution. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/323.
Aabakken, J., & Laboratory, N. (2014). NREL GIS Data: Connecticut Wind High Resolution. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://data.openei.org/submissions/323
Aabakken, Jørn and National Renewable Energy Laboratory. NREL GIS Data: Connecticut Wind High Resolution. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/323
@misc{OEDI_Dataset_323,
title = {NREL GIS Data: Connecticut Wind High Resolution},
author = {Aabakken, Jørn and Laboratory, National Renewable Energy},
abstractNote = {Abstract: Annual average wind resource potential for the state of Connecticut at a 50 meter height.
Purpose: Provide information on the wind resource development potential within the state of Connecticut.
Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system.
Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.},
url = {https://data.openei.org/submissions/323},
year = {2014},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://data.openei.org/submissions/323},
note = {Accessed: 2025-05-11}
}
Details
Data from Nov 25, 2014
Last updated Nov 25, 2014
Submitted Nov 25, 2014
Organization
National Renewable Energy Laboratory
Contact
Jørn Aabakken
