This editorial celebrates the 10th anniversary of Wind Energy Science, reflecting on a decade of rapid scientific progress and the journal’s role in advancing fundamental, interdisciplinary research. It highlights key developments in wind energy, the importance of open science and academia–industry collaboration, and emerging challenges such as data sharing and artificial intelligence. Above all, it honors the research community that has shaped the journal and looks ahead to the next decade.

A 3-year meteorological dataset from an operational wind farm of six 2 MW (megawatt) turbines has been made available. This includes a meteorological mast equipped with sonic anemometers at four different heights and radiometer measurements for atmospheric stability analysis. Simultaneously, supervisory control and data acquisition (SCADA) and the scanned geometry of the turbine blades are provided. This database has been made accessible to the research community (https://awit.aeris-data.fr).

The paper aims to study the far wake of a wind turbine under realistic inflow conditions subjected to harmonic floating motions. The present work shows that phase averaging enables the observation of the coherent spatiotemporal wake behaviour in response to the harmonic motions, contrary to previous studies with time averaging, and that the resulting variations in the chosen metrics exhibit an intensity higher than those expected when using basic quasi-steady-state approaches.

This work sets out a novel methodology for the CFD simulation of an ABL wind tunnel flow. Initially, the scheme is well validated against experimental measurements, and then it is applied to the study of a floating offshore wind turbine model under surge motion with varying turbulence intensities and motion frequencies. New insights are gained related to wake recovery of a wind turbine under surge motion, as certain frequency cases exhibit a distinctive behaviour regarding coherence structures.

The paper describes an original field experiment using a scanning LiDAR set up to measure the wind profile above the sea surface up to an altitude of 500 m. Reaching this height with a good vertical resolution is key for the wind energy sector, especially for wind turbine design, load and fatigue predictions. Observations at the site include low-level jets and extreme wind shear that are observed 15 % and 30 % of the time, respectively.