The KNW (KNMI North Sea Wind) atlas is based on the ERA-Interim reanalyses dataset which captures more than 40 years (January 1979 - August 2019) of meteorological measurements and generates 3D wind (temperature, etc) fields consistent with these measurements and the laws of physics. This dataset is downscaled using the state-of-the-art weather forecasting model, HARMONIE with a horizontal grid of 2.5 km. The vertical profile of wind speed was calibrated against the 200 m tall Cabauw measurement mast to obtain a single wind shear correction coefficient which was applied throughout the whole dataset. The result is a high resolution dataset of more than 40 years: the KNW dataset.

These data represent the average monthly wind speed and direction at the surface of the ocean. Source data includes values from January 1, 1979, to December 31, 2010, at hourly temporal resolution, with a spatial resolution of 0.313 degrees latitude x 0.312 degrees longitude. Values for wind speed are in meters per second and wind direction in degrees from True North.

This resource contains observations gathered from the Dutch North Sea Network, and ships in the North Sea taking measurements. Contents include mean temperature charts (averaged every 3 hours), mean sea surface charts, mean wind speed charts, mean wave height charts.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion scenario (S16) of offshore wind energy for ten consecutive meteorological years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological years 2013-2022. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions, assuming an expansion of offshore wind energy in continuous expansion years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The years in the file names refer to the respective year of expansion. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

Winds of the North Sea in 2050 (WINS50): wind speed, wind direction, temperature, pressure and relative humidity at 10-600 meter height from a reanalysis for 2019-2021 with the NWP model HARMONIE-AROME nested in the ECMWF reanalysis ERA5. Data are stored as daily files for a subdomain covering the Netherlands.

deutsche-awz deutsche-nordsee fraunhofer-institut-fu_r-windenergiesysteme-iwes-im-auftrag-des-bundesamts-fu_r-seeschifffahrt-und-h fraunhofer-institute-for-wind-energy-systems-iwes-assigned-by-the-federal-maritime-and-hydrographic- german-eez german-north-sea offhore-windenergie offshore-wind-energy

This dataset provides source data for the paper "Halving the North Sea’s offshore wind energy carbon footprint". It contains basic geographical factors, including wind speed, water depth, and distance from shore, and environmental impact intensities, including steel, Cu, and Al use, climate change, marine ecotoxicity, and marine eutrophication impacts. For more details, please refer to https://pubs.acs.org/doi/full/10.1021/acs.est.2c02183 and https://www.sciencedirect.com/science/article/pii/S1364032122004993.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the wind conditions in the North Sea in 2006. The calculations were carried out with the numerical weather model WRF. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m and the air density. A more detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions, assuming an expansion of offshore wind energy in continuous expansion years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The years in the file names refer to the respective year of expansion. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions, assuming an expansion of offshore wind energy in continuous expansion years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The years in the file names refer to the respective year of expansion. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the wind conditions in the North Sea in 2006. The calculations were carried out with the numerical weather model WRF. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m and the air density. A more detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion scenario (S16) of offshore wind energy for ten consecutive meteorological years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological years 2013-2022. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.

The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in different scenarios. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological year 2006. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.