Related Datasets

WIND Toolkit Offshore Summary Dataset

Publicly accessible License

This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:

GDB - Compressed geodatabases containing statistical summaries aligned with lease blocks (aliquots) stored in a GIS format. These data are partitioned into Pacific, Atlantic, and Gulf resource regions.

HDF5 - Statistical summaries of all points in the offshore Pacific, Atlantic, and Gulf offshore regions. These data are located on the original WIND Toolkit grid and have not been reassigned or downsampled to lease blocks.

These data were developed under contract by NREL for the Bureau of Oceanic Energy Management (BOEM).

Compressed Geodatabase containing full monthly and hourly statistical data for all Atlantic offshore points, centered on actual lease blocks (aliquots). Format: The data is available in a zipped geodatabase (gdb) containing statistics for the entire 7 year duration at all WIND toolkit locations. It can be opened with GIS software (e.g., QGIS).

Compressed Geodatabase containing full monthly and hourly statistical data for all Atlantic offshore points, centered on actual lease blocks (aliquots). Format: T... more

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Compressed Geodatabase containing full monthly and hourly statistical data for all Gulf of Mexico offshore points, centered on actual lease blocks (aliquots). Format: The data is available in a zipped geodatabase (gdb) containing statistics for the entire 7 year duration at all WIND toolkit locations. It can be opened with GIS software (e.g., QGIS).

Compressed Geodatabase containing full monthly and hourly statistical data for all Gulf of Mexico offshore points, centered on actual lease blocks (aliquots). Format... more

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Compressed Geodatabase containing full monthly and hourly statistical data for all Pacific offshore points, centered on actual lease blocks (aliquots). Format: The data is available in a zipped geodatabase (gdb) containing statistics for the entire 7 year duration at all WIND toolkit locations. It can be opened with GIS software (e.g., QGIS).

Compressed Geodatabase containing full monthly and hourly statistical data for all Pacific offshore points, centered on actual lease blocks (aliquots). Format: Th... more

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Format: The all.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { DATATYPE H5T_STRING { STRSIZE 14; STRPAD H5T_STR_NULLPAD; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SIMPLE { ( 1, 61368 ) / ( 1, 61368 ) } } DATASET "latitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "longitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "mean" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 1 ) / ( 581777, 1 ) } } DATASET "n" { DATATYPE H5T_STD_I32LE DATASPACE SIMPLE { ( 581777, 1 ) / ( 581777, 1 ) } } DATASET "std" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 1 ) / ( 581777, 1 ) } } DATASET "wk" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 1 ) / ( 581777, 1 ) } } } The datetime dataset provides the set of hourly time slices (formatted as YYYYMMDDHHMMSS strings) used to construct this statistical summary. Each of the remaining datasets contains a vector of 581,777 elements. Each element corresponds to the data for a given grid location in the masked offshore area of the full WIND Toolkit: latitude and longitude - the location in the EPSG:4326 projection for that grid point mean - the mean windspeed at 100 meters in m/s std - the standard deviation of the windspeed at 100 meters in m/s wk - the Weibull k parameter of the windspeed at 100 meters in m/s n - the number of data points used to calculate the statistics

Format: The all.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { DATATYPE H5T_STRING { STRSIZE 14; S... more

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Hourly statistics for all locations across 7 years data. Format: The hour.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { DATATYPE H5T_STRING { STRSIZE 14; STRPAD H5T_STR_NULLPAD; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SIMPLE { ( 24, 2557 ) / ( 24, 2557 ) } } DATASET "latitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "longitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "mean" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 24 ) / ( 581777, 24 ) } } DATASET "n" { DATATYPE H5T_STD_I32LE DATASPACE SIMPLE { ( 581777, 24 ) / ( 581777, 24 ) } } DATASET "std" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 24 ) / ( 581777, 24 ) } } DATASET "wk" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 24 ) / ( 581777, 24 ) } } } The datetime dataset provides the set of hourly time slices (formatted as YYYYMMDDHHMMSS strings) used to construct this statistical summary for each of the 24 hours. Each of the remaining datasets contains a matrix of size 24 x 581,777 elements. Each of the 24 rows corresponds to the data for a given grid location for each of the 24 hours in the masked offshore area of the full WIND Toolkit: latitude and longitude - the location in the EPSG:4326 projection for that grid point mean - the mean windspeed at 100 meters in m/s std - the standard deviation of the windspeed at 100 meters in m/s wk - the Weibull k parameter of the windspeed at 100 meters in m/s n - the number of data points used to calculate the statistics

Hourly statistics for all locations across 7 years data. Format: The hour.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { ... more

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Monthly statistics for all locations across 7 years data. Format: The month.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { DATATYPE H5T_STRING { STRSIZE 14; STRPAD H5T_STR_NULLPAD; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SIMPLE { ( 12, 5208 ) / ( 12, 5208 ) } } DATASET "latitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "longitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "mean" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 12 ) / ( 581777, 12 ) } } DATASET "n" { DATATYPE H5T_STD_I32LE DATASPACE SIMPLE { ( 581777, 12 ) / ( 581777, 12 ) } } DATASET "std" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 12 ) / ( 581777, 12 ) } } DATASET "wk" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 12 ) / ( 581777, 12 ) } } } The datetime dataset provides the set of hourly time slices (formatted as YYYYMMDDHHMMSS strings) used to construct this statistical summary for each of the 12 months (January - December). Each of the remaining datasets contains a matrix of size 12 x 581,777 elements. Each of the 12 rows corresponds to the data for a given grid location for each of the 12 months in the masked offshore area of the full WIND Toolkit: latitude and longitude - the location in the EPSG:4326 projection for that grid point mean - the mean windspeed at 100 meters in m/s std - the standard deviation of the windspeed at 100 meters in m/s wk - the Weibull k parameter of the windspeed at 100 meters in m/s n - the number of data points used to calculate the statistics

Monthly statistics for all locations across 7 years data. Format: The month.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { ... more

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Monthly-Hourly statistics for all locations across 7 years data. Format: The mohr.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime" { DATATYPE H5T_STRING { STRSIZE 14; STRPAD H5T_STR_NULLPAD; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SIMPLE { ( 288, 217 ) / ( 288, 217 ) } } DATASET "latitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "longitude" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777 ) / ( 581777 ) } } DATASET "mean" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 288 ) / ( 581777, 288 ) } } DATASET "n" { DATATYPE H5T_STD_I32LE DATASPACE SIMPLE { ( 581777, 288 ) / ( 581777, 288 ) } } DATASET "std" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 288 ) / ( 581777, 288 ) } } DATASET "wk" { DATATYPE H5T_IEEE_F32LE DATASPACE SIMPLE { ( 581777, 288 ) / ( 581777, 288 ) } } } The datetime dataset provides the set of hourly time slices (formatted as YYYYMMDDHHMMSS strings) used to construct this statistical summary for each of the 12 months x 24 hours (hence, 1 to 288): index = (hour-1)*24 + month Each of the remaining datasets contains a matrix of size 288 x 581,777 elements. Each of the 288 rows corresponds to the data for a given grid location for each of the 288 month/hour combinations in the masked offshore area of the full WIND Toolkit: latitude and longitude - the location in the EPSG:4326 projection for that grid point mean - the mean windspeed at 100 meters in m/s std - the standard deviation of the windspeed at 100 meters in m/s wk - the Weibull k parameter of the windspeed at 100 meters in m/s n - the number of data points used to calculate the statistics

Monthly-Hourly statistics for all locations across 7 years data. Format: The mohr.h5 HDF5 file contains the following datasets: GROUP "/" { DATASET "datetime... more

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Citation Formats

TY  - DATA
AB  - This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:

GDB - Compressed geodatabases containing statistical summaries aligned with lease blocks (aliquots) stored in a GIS format. These data are partitioned into Pacific, Atlantic, and Gulf resource regions.

HDF5 - Statistical summaries of all points in the offshore Pacific, Atlantic, and Gulf offshore regions. These data are located on the original WIND Toolkit grid and have not been reassigned or downsampled to lease blocks.

These data were developed under contract by NREL for the Bureau of Oceanic Energy Management (BOEM).
AU  - Draxl
A2  - Musial
A3  - Scott
A4  - Phillips
DB  - Open Energy Data Initiative (OEDI)
DP  - Open EI | National Renewable Energy Laboratory
DO  - 
KW  - wind
KW  - Toolkit
KW  - offshore
KW  - United States
KW  - geodatabases
KW  - GIS
KW  - Pacific
KW  - Atlantic
KW  - Gulf
KW  - HD5F
KW  - renewable energy
KW  - RE
KW  - Bureau of Oceanic Energy Management
KW  - BOEM
KW  - energy system integration
KW  - wind integration
LA  - English
DA  - 2017/07/21
PY  - 2017
PB  - National Renewable Energy Laboratory
T1  - WIND Toolkit Offshore Summary Dataset
UR  - https://data.openei.org/submissions/8164
ER  -

Export Citation to RIS

Draxl, et al. WIND Toolkit Offshore Summary Dataset. National Renewable Energy Laboratory, 21 July, 2017, NREL. https://data.nrel.gov/submissions/70.

Draxl, Musial, Scott, & Phillips. (2017). WIND Toolkit Offshore Summary Dataset. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/70

Draxl, Musial, Scott, and Phillips. WIND Toolkit Offshore Summary Dataset. National Renewable Energy Laboratory, July, 21, 2017.  Distributed by NREL. https://data.nrel.gov/submissions/70

@misc{OEDI_Dataset_8164,
title = {WIND Toolkit Offshore Summary Dataset},
author = {Draxl and Musial and Scott and Phillips},
abstractNote = {This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:



GDB - Compressed geodatabases containing statistical summaries aligned with lease blocks (aliquots) stored in a GIS format. These data are partitioned into Pacific, Atlantic, and Gulf resource regions.



HDF5 - Statistical summaries of all points in the offshore Pacific, Atlantic, and Gulf offshore regions. These data are located on the original WIND Toolkit grid and have not been reassigned or downsampled to lease blocks.



These data were developed under contract by NREL for the Bureau of Oceanic Energy Management (BOEM).},
url = {https://data.nrel.gov/submissions/70},
year = {2017},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/70},
note = {Accessed: 2025-05-29}
}

Details

Data from Jul 21, 2017

Last updated Dec 18, 2024

Submitted Jul 21, 2017