The LOLland offshore Lidar EXperiment (LOLLEX): a novel observational approach for the study of wind farm flow and entrainment

Malekmohammadi, Shokoufeh; Cheynet, Etienne; Reuder, Joachim; Linnemann, Claus; Sjöholm, Mikael; Mann, Jakob; Giebel, Gregor

doi:10.5194/amt-19-6267-2026

Articles | Volume 19, issue 19

https://doi.org/10.5194/amt-19-6267-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-6267-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 19

Research article

|

02 Oct 2026

Research article |

| 02 Oct 2026

The LOLland offshore Lidar EXperiment (LOLLEX): a novel observational approach for the study of wind farm flow and entrainment

Shokoufeh Malekmohammadi, Etienne Cheynet, Joachim Reuder, Claus Linnemann, Mikael Sjöholm, Jakob Mann, and Gregor Giebel

Data sets

Dataset Open Vertical line-of-sight Doppler lidar dataset associated wit the LOLland offshore Lidar EXperiment (LOLLEX) S. Malekmohammadi et al. https://doi.org/10.5281/zenodo.20929085

Dataset Open Wind speed profile dataset associated wit the LOLland offshore Lidar EXperiment (LOLLEX) S. Malekmohammadi et al. https://doi.org/10.5281/zenodo.20811676

Ship-based vertical profiling wind lidar data in Lollex campaign 2022-2023 S. Malekmohammadi https://doi.org/10.11583/DTU.22739729.v1

Short summary

This study presents a lidar measurement strategy developed during a one-year offshore campaign. A ship-based scanning lidar provided high-resolution vertical wind measurements used to study turbulent mixing and atmospheric waves, complemented by wind speed profiles from a co-located wind profiler. A scanning lidar on a fixed platform observed turbine wakes, supported by the ship-based profiler. The results demonstrate the value of the strategy and dataset for wind energy and atmospheric science.