DNV: Best Practice Test and Verification Procedure for Wind Lidars on the Høvsøre Test Site, Tech. Rep. GL GH-D Report WT 6960/09 for EU-Project NORSEWInD, 2009.
a,
b
Durgesh, V., Thomson, J., Richmond, M. C., and Polagye, B. L.: Noise correction of turbulent spectra obtained from acoustic doppler velocimeters, Flow Meas. Instrum., 37, 29–41,
https://doi.org/10.1016/j.flowmeasinst.2014.03.001, 2014.
a,
b
Eberhard, W. L., Cupp, R. E., and Healy, K. R.: Doppler lidar measurement of profiles of turbulence and momentum flux, J. Atmos. Ocean. Tech., 6, 809–819,
https://doi.org/10.1175/1520-0426(1989)006<0809:dlmopo>2.0.co;2, 1989.
a
Frandsen, S. T.: Turbulence and turbulence-generated fatigue loading in wind turbine clusters, PhD dissertation, Wind Energy Dept., Tech. Univ. Denmark, Kgs. Lyngby, Denmark,
https://backend.orbit.dtu.dk/ws/portalfiles/portal/12674798/ris_r_1188.pdf (last access: 28 August 2025), 2007. a
Frehlich, R., Hannon, S. M., and Henderson, S. W.: Performance of a 2-
µm coherent Doppler lidar for wind measurements, J. Atmos. Ocean. Tech., 11, 1517–1528,
https://doi.org/10.1175/1520-0426(1994)011<1517:poacdl>2.0.co;2, 1994.
a
Gal-Chen, T., Xu, M., and Eberhard, W. L.: Estimations of atmospheric boundary layer fluxes and other turbulence parameters from Doppler lidar data, J. Geophys. Res.-Atmos., 97, 18409–18423,
https://doi.org/10.1029/91jd03174, 1992.
a
Gargett, A. E., Tejada-Martinez, A. E., and Grosch, C. E.: Measuring turbulent large-eddy structures with an ADCP. Part 2. Horizontal velocity variance, J. Mar. Res., 67, 569–595,
https://elischolar.library.yale.edu/journal_of_marine_research/243 (last access: 28 August 2025), 2009. a
Gottschall, J., Courtney, M. S., Wagner, R., Jørgensen, H. E., and Antoniou, I.: Lidar profilers in the context of wind energy – a verification procedure for traceable measurements, Wind Energy, 15, 147–159,
https://doi.org/10.1002/we.518, 2012.
a
Kristensen, L., Kirkegaard, P., and Mikkelsen, T.: Determining the velocity fine structure by a laser anemometer with fixed orientation, Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi,
https://backend.orbit.dtu.dk/ws/portalfiles/portal/5712483/ris-r-1762.pdf (last access: 28 August 2025), 2011. a
Lenschow, D. H., Mann, J., and Kristensen, L.: How long is long enough when measuring fluxes and other turbulence statistics?, J. Atmos. Ocean. Tech., 11, 661–673,
https://doi.org/10.1175/1520-0426(1994)011<0661:hlilew>2.0.co;2, 1994.
a
Lenschow, D. H., Wulfmeyer, V., and Senff, C.: Measuring second-through fourth-order moments in noisy data, J. Atmos. Ocean. Tech., 17, 1330–1347,
https://doi.org/10.1175/1520-0426(2000)017<1330:mstfom>2.0.co;2, 2000.
a,
b
Mann, J., Cariou, J.-P., Courtney, M. S., Parmentier, R., Mikkelsen, T., Wagner, R., Lindelow, P., Sjoholm, M., and Enevoldsen, K.: Comparison of 3D turbulence measurements using three staring wind lidars and a sonic anemometer, Meteorol. Z., 18, 135,
https://doi.org/10.1127/0941-2948/2009/0370, 2009.
a,
b
McMillan, J. M. and Hay, A. E.: Spectral and structure function estimates of turbulence dissipation rates in a high-flow tidal channel using broadband ADCPs, J. Atmos. Ocean. Tech., 34, 5–20,
https://doi.org/10.1175/jtech-d-16-0131.1, 2017.
a,
b
Mücke, T., Kleinhans, D., and Peinke, J.: Atmospheric turbulence and its influence on the alternating loads on wind turbines, Wind Energy, 14, 301–316,
https://doi.org/10.1002/we.422, 2011.
a
Newman, J. F., Klein, P. M., Wharton, S., Sathe, A., Bonin, T. A., Chilson, P. B., and Muschinski, A.: Evaluation of three lidar scanning strategies for turbulence measurements, Atmos. Meas. Tech., 9, 1993–2013,
https://doi.org/10.5194/amt-9-1993-2016, 2016.
a
O'Connor, E. J., Illingworth, A. J., Brooks, I. M., Westbrook, C. D., Hogan, R. J., Davies, F., and Brooks, B. J.: A method for estimating the turbulent kinetic energy dissipation rate from a vertically pointing Doppler lidar, and independent evaluation from balloon-borne in situ measurements, J. Atmos. Ocean. Tech. 27, 1652–1664,
https://doi.org/10.1175/2010jtecha1455.1, 2010.
a
Olesen, H. R., Larsen, S. E., and Højstrup, J.: Modelling velocity spectra in the lower part of the planetary boundary layer, Bound.-Lay. Meteorol., 29, 285–312,
https://doi.org/10.1007/bf00119794, 1984.
a
Pearson, G., Davies, F., and Collier, C.: An analysis of the performance of the UFAM pulsed Doppler lidar for observing the boundary layer, J. Atmos. Ocean. Tech., 26, 240–250,
https://doi.org/10.1175/2008jtecha1128.1, 2009.
a,
b
Peña, A., Hasager, C. B., Gryning, S., Courtney, M., Antoniou, I., and Mikkelsen, T.: Offshore wind profiling using light detection and ranging measurements, Wind Energy, 12, 105–124,
https://doi.org/10.1002/we.283, 2009.
a
Richard, J.-B., Thomson, J., Polagye, B., and Bard, J.: Method for identification of doppler noise levels in turbulent flow measurements dedicated to tidal energy, Int. J. Mar. Energ., 3, 52–64,
https://doi.org/10.1016/j.ijome.2013.11.005, 2013.
a
Rippeth, T. P., Williams, E., and Simpson, J. H.: Reynolds stress and turbulent energy production in a tidal channel, J. Phys. Oceanogr., 32, 1242–1251,
https://doi.org/10.1175/1520-0485(2002)032<1242:rsatep>2.0.co;2, 2002.
a
Sjöholm, M., Mikkelsen, T., Mann, J., Enevoldsen, K., and Courtney, M.: Spatial averaging-effects on turbulence measured by a continuous-wave coherent lidar, Meteorol. Z., 18,
https://doi.org/10.1127/0941-2948/2009/0379, 2009.
a
Smalikho, I., Köpp, F., and Rahm, S.: Measurement of atmospheric turbulence by 2-
µm Doppler lidar, J. Atmos. Ocean. Tech., 22, 1733–1747,
https://doi.org/10.1175/jtech1815.1, 2005.
a
Stacey, M. T., Monismith, S. G., and Burau, J. R.: Measurements of Reynolds stress profiles in unstratified tidal flow, J. Geophys. Res., 104, 10935–10949,
https://doi.org/10.1029/1998jc900095, 1999a.
a
Stacey, M. T., Monismith, S. G., and Burau, J. R.: Observations of turbulence in a partially stratified estuary, J. Phys. Oceanogr., 29, 1950–1970,
https://doi.org/10.1175/1520-0485(1999)029<1950:ootiap>2.0.co;2, 1999b.
a
Strauch, R. G., Merritt, D. A., Moran, K. P., Earnshaw, K. B., and De Kamp, D. V.: The Colorado wind-profiling network, J. Atmos. Ocean. Tech., 1, 37–49,
https://doi.org/10.1175/1520-0426(1984)001<0037:tcwpn>2.0.co;2, 1984.
a
Stull, R. B.: Meteorology for scientists and engineers: a technical companion book with Ahrens' Meteorology Today, Brooks/Cole, ISBN: 0-534-37214-7, 2000. a
Teunissen, H. W.: Structure of mean winds and turbulence in the planetary boundary layer over rural terrain, Bound.-Lay. Meteorol., 19, 187–221,
https://doi.org/10.1007/bf00117220, 1980.
a
Thiébaut, M., Filipot, J.-F., Maisondieu, C., Damblans, G., Duarte, R., Droniou, E., Chaplain, N., and Guillou, S.: A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves, Energy, 191, 116550,
https://doi.org/10.1016/j.energy.2019.116550, 2020.
a
Thiébaut, M., Quillien, N., Maison, A., Gaborieau, H., Ruiz, N., MacKenzie, S., Connor, G., and Filipot, J.-F.: Investigating the flow dynamics and turbulence at a tidal-stream energy site in a highly energetic estuary, Renew. Energy, 195, 252–262,
https://doi.org/10.1016/j.renene.2022.06.020, 2022.
a
Thiébaut, M., Vonta, L., Benzo, C., and Guinot, F.: Characterization of the offshore wind dynamics for wind energy production in the Gulf of Lion, Western Mediterranean Sea, Wind Energ. Eng. Res., 1, 100002,
https://doi.org/10.1016/j.weer.2024.100002, 2024.
a
Thomson, J., Polagye, B., Durgesh, V., and Richmond, M. C.: Measurements of turbulence at two tidal energy sites in Puget Sound, WA, Oceanic Engineering, IEEE J. Ocean. Eng., 37, 363–374,
https://doi.org/10.1109/joe.2012.2191656, 2012.
a
Welch, P.: The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE T. Audio Electroacoust., 15, 70–73,
https://doi.org/10.1109/tau.1967.1161901, 1967.
a
Wildmann, N., Bodini, N., Lundquist, J. K., Bariteau, L., and Wagner, J.: Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign, Atmos. Meas. Tech., 12, 6401–6423,
https://doi.org/10.5194/amt-12-6401-2019, 2019.
a
Wilson, D. A.: Doppler radar studies of boundary layer wind profile and turbulence in snow conditions, in: Proceedings of the Radar Meterology Conference (14th), Tucson, Arizona, 17–20 November 1970, 191–196,
https://books.google.fr/books?hl=fr&lr=&id=hTJRAAAAMAAJ&oi=fnd&pg=PA281&dq=Doppler+Radar+Studies+of+Boundary+Layer+Wind+Profile+and+Turbulence+in+Snow+Conditions.&ots=E5kLpKW9gE&sig=bWHZCjer7bLyEKCONayhSv5M40A&redir_esc=y#v=onepage&q=Doppler%20Radar%20Studies%20of%20Boundary%20Layer%20Wind%20Profile%20and%20Turbulence%20in%20Snow%20Conditions.&f=false (last access: 28 August 2025), 1970. a
Yang, Q., Li, H., Li, T., and Zhou, X.: Wind farm layout optimization for levelized cost of energy minimization with combined analytical wake model and hybrid optimization strategy, Energ. Convers. Manage., 248, 114778,
https://doi.org/10.1016/j.enconman.2021.114778, 2021.
a
