The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

The data covers the calculated yields of offshore wind farms in the terretorities of the North Sea countries and the relevant wind conditions under the assumption of an expansion of offshore wind energy defined in five scenario years (2025, 2030, 2035, 2040 and 2050). The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch with a modification by Vollmer et al. 2024 (doi:10.5194/wes-9-1689-2024). The data are available in hourly 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. Report: https://www.bsh.de/DE/THEMEN/Offshore/Meeresfachplanung/_Anlagen/Downloads/IWES_Bericht.pdf?__blob=publicationFile&v=1

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.