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 of data, no nulls.
Units for the speed column are in meters per second (m/s) at a 90 meter height above surface level.
---
The NOAA Blended Sea Winds dataset **(1)** contains ocean surface vector winds and wind stresses gridded at 0.25°. Multiple time resolutions are available: 6-hour, daily, and monthly. Wind speeds were generated from satellite observations; directions, from a combination of National Centers for Environmental Prediction (NCEP) Reanalysis and European Center for Medium-Range Weather Forecasts (ECMWF) data assimilation products.
Hub height is an important determinant of wind resource at a given location. Due to drag close to
ground-level, wind speeds fall at lower altitudes. Over rough terrain, that drop can be precipitous, but there is substantial drag even over relatively smooth ocean surfaces. Wind speeds in the Blended Sea Winds database are at 10 m above ground level. To extrapolate them to 90m heights, a power-law wind-shear adjustment using a shear exponent of 0.11 was applied. The exponent value was chosen based on the guidance of Schwartz et al. (2010), who support its use for U.S. marine areas. The coarseness of the escalation assumption is regretful but necessary given this dataset.
There were some missing months in the dataset, especially at polar latitudes. For cells with at least 10 months of data, the 10-month average was considered as the annual average; for cells with fewer than 10 months of data, no resource was given. As those grid cells tended to be at extreme northern latitudes, and the missing months were generally in winter, it is assumed that the gaps are to be ice-caused and likely those sites are too icy for economic wind development.
**(1)** *Zhang, H.-M.; Reynolds, R.W.; Bates, J.J. (2006). ?Blended and Gridded High Resolution Global Sea Surface Wind Speed and Climatology from Multiple Satellites: 1987 - Present.? American Meteorological Society 2006 Annual Meeting, January 29 ? February 2, 2006, Atlanta, GA; Paper #P2.23.*
Citation Formats
TY - DATA
AB - 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 of data, no nulls.
Units for the speed column are in meters per second (m/s) at a 90 meter height above surface level.
---
The NOAA Blended Sea Winds dataset **(1)** contains ocean surface vector winds and wind stresses gridded at 0.25°. Multiple time resolutions are available: 6-hour, daily, and monthly. Wind speeds were generated from satellite observations; directions, from a combination of National Centers for Environmental Prediction (NCEP) Reanalysis and European Center for Medium-Range Weather Forecasts (ECMWF) data assimilation products.
Hub height is an important determinant of wind resource at a given location. Due to drag close to
ground-level, wind speeds fall at lower altitudes. Over rough terrain, that drop can be precipitous, but there is substantial drag even over relatively smooth ocean surfaces. Wind speeds in the Blended Sea Winds database are at 10 m above ground level. To extrapolate them to 90m heights, a power-law wind-shear adjustment using a shear exponent of 0.11 was applied. The exponent value was chosen based on the guidance of Schwartz et al. (2010), who support its use for U.S. marine areas. The coarseness of the escalation assumption is regretful but necessary given this dataset.
There were some missing months in the dataset, especially at polar latitudes. For cells with at least 10 months of data, the 10-month average was considered as the annual average; for cells with fewer than 10 months of data, no resource was given. As those grid cells tended to be at extreme northern latitudes, and the missing months were generally in winter, it is assumed that the gaps are to be ice-caused and likely those sites are too icy for economic wind development.
**(1)** *Zhang, H.-M.; Reynolds, R.W.; Bates, J.J. (2006). “Blended and Gridded High Resolution Global Sea Surface Wind Speed and Climatology from Multiple Satellites: 1987 - Present.” American Meteorological Society 2006 Annual Meeting, January 29 – February 2, 2006, Atlanta, GA; Paper #P2.23.*
AU - Langle, Nicholas
A2 - Laboratory, National Renewable Energy
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - GIS
KW - NOAA
KW - NREL
KW - global
KW - offshore
KW - wind
KW - wind speed
LA - English
DA - 2014/11/25
PY - 2014
PB - National Renewable Energy Laboratory
T1 - NREL Global Offshore Wind GIS Data
UR - https://data.openei.org/submissions/351
ER -
Langle, Nicholas, and National Renewable Energy Laboratory. NREL Global Offshore Wind GIS Data. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/351.
Langle, N., & Laboratory, N. (2014). NREL Global Offshore Wind GIS Data. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://data.openei.org/submissions/351
Langle, Nicholas and National Renewable Energy Laboratory. NREL Global Offshore Wind GIS Data. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/351
@misc{OEDI_Dataset_351,
title = {NREL Global Offshore Wind GIS Data},
author = {Langle, Nicholas and Laboratory, National Renewable Energy},
abstractNote = {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 of data, no nulls.
Units for the speed column are in meters per second (m/s) at a 90 meter height above surface level.
---
The NOAA Blended Sea Winds dataset **(1)** contains ocean surface vector winds and wind stresses gridded at 0.25°. Multiple time resolutions are available: 6-hour, daily, and monthly. Wind speeds were generated from satellite observations; directions, from a combination of National Centers for Environmental Prediction (NCEP) Reanalysis and European Center for Medium-Range Weather Forecasts (ECMWF) data assimilation products.
Hub height is an important determinant of wind resource at a given location. Due to drag close to
ground-level, wind speeds fall at lower altitudes. Over rough terrain, that drop can be precipitous, but there is substantial drag even over relatively smooth ocean surfaces. Wind speeds in the Blended Sea Winds database are at 10 m above ground level. To extrapolate them to 90m heights, a power-law wind-shear adjustment using a shear exponent of 0.11 was applied. The exponent value was chosen based on the guidance of Schwartz et al. (2010), who support its use for U.S. marine areas. The coarseness of the escalation assumption is regretful but necessary given this dataset.
There were some missing months in the dataset, especially at polar latitudes. For cells with at least 10 months of data, the 10-month average was considered as the annual average; for cells with fewer than 10 months of data, no resource was given. As those grid cells tended to be at extreme northern latitudes, and the missing months were generally in winter, it is assumed that the gaps are to be ice-caused and likely those sites are too icy for economic wind development.
**(1)** *Zhang, H.-M.; Reynolds, R.W.; Bates, J.J. (2006). ?Blended and Gridded High Resolution Global Sea Surface Wind Speed and Climatology from Multiple Satellites: 1987 - Present.? American Meteorological Society 2006 Annual Meeting, January 29 ? February 2, 2006, Atlanta, GA; Paper #P2.23.*},
url = {https://data.openei.org/submissions/351},
year = {2014},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://data.openei.org/submissions/351},
note = {Accessed: 2025-04-24}
}
Details
Data from Nov 25, 2014
Last updated Nov 25, 2014
Submitted Nov 25, 2014
Organization
National Renewable Energy Laboratory
Contact
Nicholas Langle
