Freely available downloads of Wind Integration National Dataset Toolkit.
The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern Integration Data Set and Western Wind Integration Data Set. It supports the next generation of wind integration studies. The WIND Toolkit includes meteorological conditions and turbine power for more than 126,000 sites in the continental United States for the years 2007—2013. Read more at http://www.nrel.gov/grid/wind-toolkit.html
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2018 to 2020.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2014 to 2017.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2007 to 2014.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, and direction values at 80m, 100m, and 120m above the surface and air pressure at the surface, 100m, and 200m above the surface for the year 2015 produced using WRF v3.7. The model time resolution used was 15 minutes with a nominal spatial resolution of 3 km2 over Kazakhstan and 9 km2 over the surrounding region. For the U and V components used to derive the wind speed, a total of 41 pressure levels were used.
Tips and tricks for getting the most out of the API
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. The India Wind Dataset, developed in part through the India Renewable Integration Study, contains simulated windspeed, direction, temperate and pressure values at 40m, 80m, 100m and 120m heights above the ground where available. The spatial resolution of the data is 3 km and the temporal resolution is 5 minutes.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the year 2015.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2000 to 2020.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2007 to 2014.
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2000 to 2022.
The Offshore California Dataset is a 21-year wind resource dataset for offshore California. Produced in 2020, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for offshore California, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore Great Lakes Dataset is a 21-year wind resource dataset for the Great Lakes. Produced in 2021, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for the Great Lakes, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore Gulf of Mexico Dataset is a 21-year wind resource dataset for the Gulf of Mexico. Produced in 2022, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for the Gulf of Mexico, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore Hawaii Dataset is a 21-year wind resource dataset for offshore Hawaii. Produced in 2020, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for offshore Hawaii, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore Mid Atlantic Dataset is a 21-year wind resource dataset for the mid Atlantic. Produced in 2020, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for the mid Atlantic, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore NW Pacific Dataset is a 21-year wind resource dataset for offshore NW Pacific. Produced in 2020, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for offshore NW Pacific, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
The Offshore North Atlantic Dataset is a 21-year wind resource dataset for the North Atlantic. Produced in 2022, this data set replaces NREL's Wind Integration National Dataset (WIND) Toolkit for the North Atlantic, which was produced and released publicly in 2013 and is currently the principal data set used by stakeholders for wind resource assessment in the continental United States. Both the WIND Toolkit and this new data set are created using the Weather Research and Forecasting (WRF) numerical weather prediction model (NWP).
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2001 to 2020.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, and direction values at 80m, 100m, and 120m above the surface and air pressure at the surface, 100m, and 200m above the surface for the year 2015 produced using WRF v3.7. The model time resolution used was 15 minutes with a nominal spatial resolution of 3 km2 over Kazakhstan and 9 km2 over the surrounding region. For the U and V components used to derive the wind speed, a total of 41 pressure levels were used.
Determine the number of sites containing data for a given point, polygon, or multipoint as specified by a WKT. This is useful for calculating download request size. Details at the download guide.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2000 to 2020.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, and direction values at 10m, 40m, 80m, 100m, 120m, 160m, and 200m above the surface and air pressure at the surface, 100m, and 200m above the surface for the years 2017 to 2021. The model time resolution used was 15 minutes.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, and direction values at 10m, 40m, 80m, 100m, 120m, 160m, and 200m above the surface and air pressure at the surface, 100m, and 200m above the surface for the years 2007 to 2021. The model time resolution used was 15 minutes.
Collect and download, as CSV, a configurable set of data fields from gridded data over Ukraine, Moldova, and Eastern Romania. This data was created with the The Super Resolution for Renewable Resource Data (sup3r) software, which uses generative adversarial networks to create synthetic high-resolution data from coarse low-resolution inputs. This data includes wind-speed and direction at 2-km 5-minute resolution along with pressure, temperature and relative humidity at 2-km hourly resolution, for the years 2000 through 2023. Usage examples can be found here.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations. This data represents wind-speed, temperature, and direction values at 80m, 100m, and 120m above the surface and air pressure at the surface, 100m, and 200m above the surface for the year 2015 produced using WRF v3.7. The model time resolution used was 15 minutes with a nominal spatial resolution of 3 km2 over Kazakhstan and 9 km2 over the surrounding region. For the U and V components used to derive the wind speed, a total of 41 pressure levels were used.
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2018 to 2020.
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2019 and 2020.
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. This data represents wind-speed, temperature, direction, and air pressure values at multiple heights above the surface for the years 2018-2020.
Collect and download in SAM (System Advisor Model) format a configurable set of data fields from a national collection of wind stations. The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern and Western Wind Datasets, and is intended to support the next generation of integration studies. The WIND Toolkit includes meteorological conditions at multiple hub heights for more than 2,488,136 sites in the continental United States for the years 2007–2014.
Collect and download, as CSV, a configurable set of data fields from a national collection of wind stations. The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern and Western Wind Datasets, and is intended to support the next generation of integration studies. The WIND Toolkit includes meteorological conditions at multiple hub heights for more than 2,488,136 sites in the continental United States for the years 2007–2014.
This service has been replaced by V2. See Central Asia Download V2
This service has been replaced by V2. See India Wind V2.
Collect and download, as CSV, a configurable set of data fields from a multi-national collection of wind stations.
This service has been replaced by a V2 version of the API. See Site Count v2.
This service has been replaced by V2. See WIND toolkit Download V2
For questions about the API or the data models please contact WindToolkit@nrel.gov