{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T13:55:10Z","timestamp":1764251710295,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T00:00:00Z","timestamp":1627430400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"WEAMEC West Atlantic Marine Energy Community\/ Pays de la Loire Region","award":["No Grant number"],"award-info":[{"award-number":["No Grant number"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Floating LIDAR systems (FLS) are a cost-effective way of surveying the wind energy potential of an offshore area. However, as turbulence intensity estimates are strongly affected by wave-induced buoy motion, it is essential to correct them. In this study, we quantify the turbulence intensity measurement error of a WindCube v2\u00ae mounted on a 12-ton anchored buoy as a function of met-ocean conditions, and we construct a subsequently applied correction method suitable for 10-min wind LIDAR data storage. To this end, we build a model to simulate the effect of buoyancy movements on the LIDAR\u2019s wind measurements. We first apply the model to understand the mechanisms responsible for the wind LIDAR measurement error. The effect of the buoy\u2019s rotational and translational motions on the radial wind speed measurements of the individual beams is first studied. Second, the temporality induced by the LIDAR operation is taken into account; the effect of motion subsampling and the interaction between the different measurement beam positions. From this model, a correction method is developed and successfully applied to a 13-week experimental campaign conducted off the shores of F\u00e9camp (Normandie, France) involving the buoy-mounted WindCube v2\u00ae compared with cup anemometers from a met mast and a fixed WindCube v2\u00ae on a platform. The correction improves the linear regression against the fixed LIDAR turbulence intensity measurements, shifting the offset from ~0.03 to ~0.005 without post-processing the remaining peaks.<\/jats:p>","DOI":"10.3390\/rs13152973","type":"journal-article","created":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T21:21:04Z","timestamp":1627507264000},"page":"2973","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System"],"prefix":"10.3390","volume":"13","author":[{"given":"Thibault","family":"D\u00e9sert","sequence":"first","affiliation":[{"name":"Ecole Centrale, Hydrodynamics, Energetics and Atmospheric Environment Research Laboratory, 1 Rue de la No\u00eb, 44300 Nantes, France"}]},{"given":"Graham","family":"Knapp","sequence":"additional","affiliation":[{"name":"CSTB, Climatology, Aerodynamics, Pollution and Purification Department, 11 Rue Henri Picherit, 44300 Nantes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0440-3005","authenticated-orcid":false,"given":"Sandrine","family":"Aubrun","sequence":"additional","affiliation":[{"name":"Ecole Centrale, Hydrodynamics, Energetics and Atmospheric Environment Research Laboratory, 1 Rue de la No\u00eb, 44300 Nantes, France"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.solener.2004.08.030","article-title":"Feasibility study of off-shore wind farms: An application to Puglia region","volume":"79","author":"Pantaleo","year":"2005","journal-title":"Sol. 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