Articles | Volume 14, issue 9
Atmos. Meas. Tech., 14, 6137–6157, 2021
Atmos. Meas. Tech., 14, 6137–6157, 2021
Research article
21 Sep 2021
Research article | 21 Sep 2021

The COTUR project: remote sensing of offshore turbulence for wind energy application

Etienne Cheynet et al.

Related authors

Turbulence in a coastal environment: the case of Vindeby
Rieska Mawarni Putri, Etienne Cheynet, Charlotte Obhrai, and Jasna Bogunovic Jakobsen
Wind Energ. Sci., 7, 1693–1710,,, 2022
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
Complementarity of wind measurements from co-located X-band weather radar and Doppler lidar
Jenna Ritvanen, Ewan O'Connor, Dmitri Moisseev, Raisa Lehtinen, Jani Tyynelä, and Ludovic Thobois
Atmos. Meas. Tech., 15, 6507–6519,,, 2022
Short summary
Evaluation of the New York State Mesonet Profiler Network data
Bhupal Shrestha, Jerald A. Brotzge, and Junhong Wang
Atmos. Meas. Tech., 15, 6011–6033,,, 2022
Short summary
Quantification of motion-induced measurement error on floating lidar systems
Felix Kelberlau and Jakob Mann
Atmos. Meas. Tech., 15, 5323–5341,,, 2022
Short summary
Observation error analysis for the WInd VElocity Radar Nephoscope W-band Doppler conically scanning spaceborne radar via end-to-end simulations
Alessandro Battaglia, Paolo Martire, Eric Caubet, Laurent Phalippou, Fabrizio Stesina, Pavlos Kollias, and Anthony Illingworth
Atmos. Meas. Tech., 15, 3011–3030,,, 2022
Short summary
Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign
James B. Duncan Jr., Laura Bianco, Bianca Adler, Tyler Bell, Irina V. Djalalova, Laura Riihimaki, Joseph Sedlar, Elizabeth N. Smith, David D. Turner, Timothy J. Wagner, and James M. Wilczak
Atmos. Meas. Tech., 15, 2479–2502,,, 2022
Short summary

Cited articles

Aitken, M. L., Rhodes, M. E., and Lundquist, J. K.: Performance of a wind-profiling lidar in the region of wind turbine rotor disks, J. Atmos. Ocean. Tech., 29, 347–355, 2012. a
Alcayaga, L.: Filtering of pulsed lidar data using spatial information and a clustering algorithm, Atmos. Meas. Tech., 13, 6237–6254,, 2020. a
Andersen, O. J. and Løvseth, J.: The Frøya database and maritime boundary layer wind description, Mar. Struct., 19, 173–192, 2006. a, b, c
Bachynski, E. E. and Eliassen, L.: The effects of coherent structures on the global response of floating offshore wind turbines, Wind Energy, 22, 219–238,, 2019. a
Barthelmie, R., Courtney, M., Højstrup, J., and Larsen, S. E.: Meteorological aspects of offshore wind energy: Observations from the Vindeby wind farm, J. Wind Eng. Ind. Aerod., 62, 191–211, 1996. a
Short summary
The COTUR campaign explored the structure of wind turbulence above the ocean to improve the design of future multi-megawatt offshore wind turbines. Deploying scientific instruments offshore is both a financial and technological challenge. Therefore, lidar technology was used to remotely measure the wind above the ocean from instruments located on the seaside. The experimental setup is tailored to the study of the spatial correlation of wind gusts, which governs the wind loading on structures.