Bouin, M.-N., Lebeaupin Brossier, C., Malardel, S., Voldoire, A., and Sauvage, C.: The wave-age-dependent stress parameterisation (WASP) for momentum and heat turbulent fluxes at sea in SURFEX v8.1, Geosci. Model Dev., 17, 117–141, https://doi.org/10.5194/gmd-17-117-2024, 2024.
Brown, J. M., Amoudry, L. O., Mercier, F. M., and Souza, A. J.: Intercomparison of the Charnock and COARE bulk wind stress formulations for coastal ocean modelling, Ocean Sci., 9, 721–729, https://doi.org/10.5194/os-9-721-2013, 2013.
Carbon Trust: Carbon Trust Offshore Wind Accelerator Roadmap for Commercial Acceptance of Floating LiDAR Technology, Version 2.0,
https://www.carbontrust.com/our-work-and-impact/guides-reports-and-tools/roadmap-for-commercial-acceptance-of-floating-lidar (last access: 11 August 2024), 2018.
DHI: MIKE 21 & MIKE 3 Flow Model FM, Hydrodynamic and Transport Module, Scientific Documentation,
https://manuals.mikepoweredbydhi.help/2017/Coast_and_Sea/MIKE_321_FM_Scientific_Doc.pdf (last access: 11 August 2024), 2017.
DHI: EUDP Global Atlas of Siting Parameters Offshore, ERA5 Wind: Validation and Comparison, Report,
https://www.metocean-on-demand.com/metadata/waterdata-dataset-Global_ERA5 (last access: 11 August 2024), 2023.
DHI: MetOcean Data Portal,
https://www.metocean-on-demand.com/, last access: 11 August 2024.
DNV GL: Assessment of EOLOS FLS-200 E05 Floating Lidar Pre-Deployment Validation at the Narec NOAH Offshore Met Tower, UK, Report No. 02, Rev. A, Document No. 10124962-R-2-A,
https://oswbuoysny.resourcepanorama.dnv.com/download/f67d14ad-07ab-4652-16d2-08d71f257da1 (last access: 11 August 2024), 2019.
DNV: NYSERDA Floating LiDAR Buoy Data,
https://oswbuoysny.resourcepanorama.dnv.com/, last access: 11 August 2024.
ENS: Preliminary site investigations for the Energy Islands,
https://ens.dk/en/our-responsibilities/offshore-wind-power/preliminary-site-investigations-energy-islands, last access: 15 August 2024.
ECMWF: IFS Documentation – Cy41r2, Operational implementation 8 March 2016, Part IV: Physical Processes, https://doi.org/10.21957/tr5rv27xu, 2016a.
ECMWF: IFS Documentation – Cy41r2, Operational implementation 8 March 2016, Part VII: ECMWF Wave Model, https://doi.org/10.21957/672v0alz, 2016b.
Edson, J. B., Jampana, V., Weller, R. A., Bigorre, S. P., Plueddemann, A. J., Fairall, C. W., Miller, S. D., Mahrt, L., Vickers, D., and Hersbach, H.: On the Exchange of Momentum over the Open Ocean, J. Phys. Oceanogr., 43, 1589–1610, https://doi.org/10.1175/JPO-D-12-0173.1, 2013.
ENTSO-E: TYNDP 2024, Offshore Network Development Plans European offshore network transmission infrastructure needs, Pan-European summary,
https://eepublicdownloads.blob.core.windows.net/public-cdn-container/tyndp-documents/ONDP2024/ONDP2024-pan-EU-summary.pdf (last access: 11 August 2024), 2024.
EOLOS: NYSERDA Measurement Plan, Code: EOL-NYS01, Revision 02,
https://oswbuoysny.resourcepanorama.dnv.com/download/f67d14ad-07ab-4652-16d2-08d71f257da (last access: 11 August 2024), 2020.
Fery, N., Tinz, B., Ganske, A., and Gates, L.: Reproduction of 10 m-wind and sea level pressure fields during extreme storms with regional and global atmospheric reanalyses in the North Sea and the Baltic, in: 2nd Baltic Earth Conference, Helsingør, 11–15 June 2018, https://doi.org/10.13140/RG.2.2.24884.35200, 2018.
Fugro: Supply of Meteorological and Oceanographic data at Hollandse Kust (west), 24-month summary campaign report: 5 February 2019–11 February 2021, Fugro Document No. C75432_24M_F,
https://offshorewind.rvo.nl/file/download/498241e9-bdb1-45ce-8343-303727e620a7/1639050959hkw_20211125_mc_fugro_24m report_f.pdf (last access: 11 August 2024), 2021.
Fugro: Supply of Meteorological and Oceanographic data at Ten noorden van de Waddeneilanden 24-month summary campaign report: 19 June 2019–20 June 2021, Fugro Document No. C75433_24M_F,
https://offshorewind.rvo.nl/file/download/3b2f655f-af72-4bf5-9754-a7d2d2e6dc6c/tnw_20220118_mc_fugro_report-f.pdf (last access: 11 August 2024), 2022.
Fugro: SWLB measurements at Energy Islands. Project Measurement Plan, All Lots, C75486_Project_Measurement_Plan_All_Lots 09, Final, ENS's FTP,
https://ens.dk/en/our-responsibilities/offshore-wind-power/preliminary-site-investigations-energy-islands-0 (last access: 11 August 2024), 2023.
Gandoin, R.: Supplementary material to the Wind Energy Science article “Underestimation of strong wind speeds offshore in ERA5: evidence, discussion, and correction”, Version v2, Zenodo [data set], https://doi.org/10.5281/zenodo.11100768, 2024.
GLGH: Assessment of the Fugro/Oceanor Seawatch Floating LiDAR Verification at RWE IJmuiden met mast, Technical Note No. GLGH-4257 13 10378-R-0003, Rev. B,
https://offshorewind.rvo.nl/file/download/ae688c2d-721f-416c-8902-51f0c0f5bf63/1502435907hkz_20150130_dnvgl_ijmuiden trial campaign validation-f.pdf (last access: 11 August 2024), 2015.
Gryning, S.-E., Batcharova, E., Brümmer, B., Jørgensen, H., and Larsen, S.: On the extension of the wind profile over homogeneous terrain beyond the surface boundary layer, Bound.-Lay. Meteorol., 124, 251–268, https://doi.org/10.1007/s10546-007-9166-9, 2007.
Hersbach, H., Bell, B., Berrisford, P., et al.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Kelberlau, F.: Floating Lidar Systems, Measurement accuracy under strong wind conditions, in: WRM Discussion group meeting, 30 March 2022,
https://oceanalysis-my.sharepoint.com/:f:/p/gus_jeans/Ep9M6eSQXPZLl9-fNpZ_7mMBDpRKZ8KEu_yXoMeN5e5ZdQ (last access: 11 August 2024), 2022.
Kelberlau, F. and Mann, J.: Quantification of motion-induced measurement error on floating lidar systems, Atmos. Meas. Tech., 15, 5323–5341, https://doi.org/10.5194/amt-15-5323-2022, 2022.
Knoop, S., Bosveld, F. C., de Haij, M. J., and Apituley, A.: A 2-year intercomparison of continuous-wave focusing wind lidar and tall mast wind measurements at Cabauw, Atmos. Meas. Tech., 14, 2219–2235, https://doi.org/10.5194/amt-14-2219-2021, 2021.
Larsén, X. G. and Ott, S.: Adjusted spectral correction method for calculating extreme winds in tropical-cyclone-affected water areas, Wind Energ. Sci., 7, 2457–2468, https://doi.org/10.5194/wes-7-2457-2022, 2022.
Meyer, E. M. I. and Gaslikova, L.: Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data, Nat. Hazards Earth Syst. Sci., 24, 481–499, https://doi.org/10.5194/nhess-24-481-2024, 2024.
Peña, A. and Gryning, S. E.: Charnock's Roughness Length Model and Non-dimensional Wind Profiles Over the Sea, Bound.-Lay. Meteorol., 128, 191–203, https://doi.org/10.1007/s10546-008-9285-y, 2008.
Peña, A., Gryning, S.-E., and Hasager, C.: Measurements and Modelling of the Wind Speed Profile in the Marine Atmospheric Boundary Layer, Bound.-Lay. Meteorol., 129, 479–495, https://doi.org/10.1007/s10546-008-9323-9, 2008.
Pineau-Guillou, L., Ardhuin, F., Bouin, M.-N., Redelsperger, J.-L., Chapron, B., Bidlot, J.-R., and Quilfen, Y.: Strong winds in a coupled wave–atmosphere model during a North Atlantic storm event: evaluation against observations, Q. J. Roy. Meteorol. Soc., 144, 317–332, https://doi.org/10.1002/qj.3205, 2018.
Quaeghebeur, E. and Zaaijer, M. B.: How to improve the state of the art in metocean measurement datasets, Wind Energ. Sci., 5, 285–308, https://doi.org/10.5194/wes-5-285-2020, 2020.
Ramon, J., Lledó, L., Torralba, V., Soret, A., and Doblas-Reyes, F. J.: What global reanalysis best represents near-surface winds?, Q. J. Roy. Meteorol. Soc., 145, 3236–3251, https://doi.org/10.1002/qj.3616, 2019.
Renfrew, I. A., Moore, G. W. K., Guest, P. S., and Bumke, K.: A Comparison of Surface Layer and Surface Turbulent Flux Observations over the Labrador Sea with ECMWF Analyses and NCEP Reanalyses, J. Phys. Oceanogr., 32, 383–400, https://doi.org/10.1175/1520-0485(2002)032<0383:ACOSLA>2.0.CO;2, 2002.
RVO:
https://offshorewind.rvo.nl/, last access: 11 August 2024.
Saha, S., Moorthi, S., Pan, H.-L. et al.: The NCEP Climate Forecast System Reanalysis, B. Am. Meteorol. Soc., 91, 1015–1058, https://doi.org/10.1175/2010BAMS3001.1, 2010.
Saha, S., Moorthi, S., Wu, X. et al.: The NCEP Climate Forecast System Version 2, J. Climate, 27, 2185–2208, https://doi.org/10.1175/JCLI-D-12-00823.1, 2014.
Sathe, A., Gryning, S.-E., and Peña, A.: Comparison of the atmospheric stability and wind profiles at two wind farm sites over a long marine fetch in the North Sea, Wind Energy, 14, 767–780, https://doi.org/10.1002/we.456, 2011.
Shaw, W. J., Berg, L. K., Debnath, M., Deskos, G., Draxl, C., Ghate, V. P., Hasager, C. B., Kotamarthi, R., Mirocha, J. D., Muradyan, P., Pringle, W. J., Turner, D. D., and Wilczak, J. M.: Scientific challenges to characterizing the wind resource in the marin
e atmospheric boundary layer, Wind Energ. Sci., 7, 2307–2334, https://doi.org/10.5194/wes-7-2307-2022, 2022.
Solbrekke, I. M., Sorteberg, A., and Haakenstad, H.: The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea, Wind Energ. Sci., 6, 1501–1519, https://doi.org/10.5194/wes-6-1501-2021, 2021.
Spangehl, T., Borsche, M., Niermann, D., Kaspar, F., Schimanke, S., Brienen, S., Möller, T., and Brast, M.: Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea, Adv. Sci. Res., 20, 109–128, https://doi.org/10.5194/asr-20-109-2023, 2023.
Stull, R. B.: An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, Dordrecht, Boston, London, 666 pp., https://doi.org/10.1007/978-94-009-3027-8, 1988.
TNO: Validation of the TNO ZX300 LiDAR system unit 308 at the TNO RSD Verification Facility Period: July 2019 to September 2019, TNO 2021 R10132,
https://www.windopzee.net/wp-content/uploads/2021/03/mm6_zx308_2020.pdf (last access: 11 August 2024), 2021.
