Spatially averaged metocean data at Utsira Nord (UN) and Sørlige Nordsjø II (SN2) with NORA3 (1982-2022)

Overview
This dataset provides spatially averaged metocean data at Utsira Nord (UN) and Sørlige Nordsjø II (SN2) offshore site. The data span from 1982 to 2022 with a temporal resolution of 1 h and are formatted in NetCDF4. The data are valuable for a range of applications including, but not limited to, offshore engineering, marine renewable energy, climate studies, and environmental monitoring. The mean wind speed and mean direction data are provided at eight altitudes from 10 m to 750 m above sea level.
Data Description
The dataset is organised into NetCDF files with the following variables:
Dataset Variables and Dimensions
Time-Dependent Variables
Wind Direction Variables (Dir_median, Dir_q1, Dir_q99, Dir_q25, Dir_q75): Represent the mean wind direction at different percentiles, and are measured in degrees.
Wind Speed Variables (U_median, U_q1, U_q99, U_q25, U_q75): Indicate the mean wind speed at different percentiles, and are measured in metres per second (m/s).
Wave Height Variables (hs_median, hs_q1, hs_q99, hs_q25, hs_q75): Denote the significant wave height at different percentiles, and are measured in metres (m).
Wave Period Variables (tp_median, tp_q1, tp_q99, tp_q25, tp_q75): Capture the peak wave period at various percentiles, and are measured in seconds (s).
Friction Velocity Variables (u_star_median, u_star_q1, u_star_q99, u_star_q25, u_star_q75): Represent the friction velocity at different percentiles, and are measured in metres per second (m/s).
Wave Heading Variables (wd_median, wd_q1, wd_q99, wd_q25, wd_q75): Indicate the wave heading at different percentiles, and are measured in degrees.
Static Variables

Height Variable (z): Specifies the height above the surface, measured in metres (m). The dataset includes 8 levels: [10, 20, 50, 100, 150, 250, 500, 750].
Time Variable

Time Variable (time): Represents time in hours since 1970-01-01 00:00:00.
Data Dimensions

Dimensions:

time: 359400
z: 8
Data Types

The primary data type for these variables is double.
Usage
The NetCDF files can be accessed and manipulated using various programming languages that have NetCDF libraries, such as Python, MATLAB, R, and others. The dataset is suitable for both academic research and industrial applications.