References Andersen, O.J. and J. Løvseth (2010) Stability modifications of the Frøya wind spectrum. Journ. Wind Engeneering Industrial Aerodynamics, 236-242 Bodyko, M.I. (1974) Climate and Life. International Geophysical Series, Vol. 18, Academic Press, New York 18:508 Bredmose, H., S.E.Larsen, D. Matha, A. Rettenmeier, E. Marino, L. Saettran (2012) D2.04: Collation of offshore Wind Wave Dynamics. MARINET Report, EU-FP7 Grant no. 262552, 50p Brutsaert, W.H. (1982) Exchange processes at the earth atmosphere interface Engineering Meteorology, Ed. E. Platte, Elsevier, 319-369 Charnock H. (1955) Wind stress over a water surface. Quart. J. Roy. Meteorol. Soc. 81:639–640 Design Standards, (2007-2011) IEC 61400-3: Wind turbines- Part 3: Design of offshore wind turbines, 2009 DNV-OJ-J101. OFF SHORE STANDARD: Design of offshore wind turbine structures. DNV, 2007. ABS(American Bureau of Shipping), Offshore Wind Turbine Installation, American Bureau of Shipping, 2010 ABS(American Bureau of Shipping), Design Standards for offshore wind farms, American Bureau of Shipping, 2011 IEC 61400-1, Design requirements, 2008. IEC 61400-1, Design requirements-amendment1, 2010 Garreaud, R. D. and R. Munoz, 2005. The low level jet off the subtropicalwest coast of South America, Structure and Variability. Monthly Weather Review 133:2246-2261 Gryning, S.E. and E. Batchvarova, (1990) Analytical model for the growth of the coastal internal boundary layer during onshore flow. Quart. J. Roy. Met. Soc. 116:187-203 Gryning S.-E., Batchvarova E., Brümmer B., Jørgensen H., and Larsen S. (2007) On the extension of the wind profile over homogeneous terrain beyond the surface layer. Bound.-Layer Meteorol. 124:251–268 Hahmann, A. N., J. Lange, A. Peña and C. Hasager The NORSEWInD numerical wind atlas for the South Baltic <strong>DTU</strong> Wind Energy-E-Report-0011(EN) Hasager, C.B.; Nielsen, N.,W.; Jensen, N.O.; Bøgh, E.; Christensen, J.H.; Dellwik, E.; Søgaard, G.. (2003) Effective roughness calculated from satellite-derived land cover maps and hedge-information used in a weather forecasting model Boundary-Layer Meteorology 109:227-254 Hunt, J.C.R. and J.E.Simpson, (1982) Atmospheric Boundary Layers over Non-Homogeneous terrain Engineering meteorology (E.: E. Plate) Elsevier, Amsterdam 269-318 H˚akanson, L. (1991) The Baltic Sea Environment Session 1: Physical Oceanography of the Baltics. The Baltic University Programme, Uppsala University, Swedem, 35 p Højstrup, J., (1982) Velocity spectra in the unstable planetary boundary layer J. Atmos. Sci. 39:2239-2248 Jackson, P.S. and J.R.C. Hunt, (1975) Turbulent wind flow over a low hill J. Roy. Met. Soc. 101:929–955 Jones, I S F, Y Volkov, Y Toba, S Larsen, N Huang, M Donelan (2001) Overview. Chapter 1 Wind stress over the ocean ( Ed. I.S.F.Jones and Y.Toba). Cambridge University Press, 1 - 31. Johnson, H K, H.J Vested, H. Hersbach, J Højstrup and S E Larsen (1999) The coupling between wind and waves in the WAM model Journ. Atmos. Ocean. Tech 16(11):1780 - 1790 Kaimal, J.C., J.C. Wyngaard, Y. Izumi, and O.R. Cote, (1972) Spectral characteristics of surface-layer turbulence Quart. J. Roy. Met. Soc., 563–589 Karagali, I,, A. Peña, M. Badger and C.B. Hasager (2012) Wind characteristics of the North Sea and the Baltic Seas from QuickScatt satellite Wind Energy Lange, B., S.E.Larsen, J. Højstrup and R. Barthelmie, (2004) The influence of thermal effects on the wind speed profile of the coastal marine boundary layer Boundary-Lay. Meteorol. 112:587-617 Larsen, S.E. and Jensen, N.O. (1983) Summary and Interpretation of Some Danish Climate Statistics Risø- R-399, 76 pp Larsen, S.E.,N.E.Tarp-Johansen, S.Frandsen andE.R.Jørgensen (1990) Södra Midsjöbanken Environmental Data-Initial analysis Risø-I-2505. FP6 Integrated project DOWNVInd Lettau H. H. (1962) Theoretical wind spirals in the boundary layer of a barotropic atmosphere. Beitr. Phys. Atmos. 35:195–212 Makin, V. K. (2005) A note on the drag of the sea surface at hurricane winds Boundary Layer Meteorology 115:169-175 50 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)
Mann, J. (1998) Wind field simulation Prob. Engng. Mech 14(4):269-282 Melas, D., (1998) The depth of the stably stratified internal boundary layer over the sea Geophysical Research Letters 25(13):2261-2264 Mortensen, N. G. and E.L. Petersen (1997) Influence of topographical input data on the accuracy of wind flow modeling in complex terrain European Wind Energy Conference, Dublin, Ireland Olesen, H.R., S.E. Larsen, and J. Højstrup, (1984) Modelling velocity spectra in the lower part of the planetary boundary layer Boundary-Layer Meteorol. 29:285–312 Peña A., Gryning S.-E., and Hasager C. B. (2008) Measurements and modelling of the wind speed profile in the marine atmospheric boundary layer. Bound.-Layer Meteorol. 129:479–495 Peña A. and Gryning S.-E. (2008) Charnock’s roughness length model and non-dimensional wind profiles over the sea. Bound.-Layer Meteorol. 128:191–203 Peña A., Mikkelsen T., Gryning S.-E., Hasager C. B., Hahmann A. N., Badger M., Karagali I., and Courtney M. (2012) Offshore vertical wind shear. Final report on NORSEWInD’s work task 3.1 <strong>DTU</strong> Wind Energy- E-Report-005(EN), <strong>DTU</strong> Wind Energy, Risø¸ Campus, Roskilde Smedman, A-S., H. Bergström and B. Grisogono, (1997) Evolution of stable internal boundary layers over a cold sea Journ. Geophys. Research 102:1091-1099 Stull R. B. (1988) An introduction to boundary layer meteorology, Kluwer Academic <strong>Publishers</strong>, 666 pp Tennekes, H. and J.L. Lumley (1972) A first course in turbulence MIT, Cambridge, Mass. 300p. Troen, I. and E.L. Petersen (1989) European Wind Atlas Risø National Laboratory, Roskilde, Denmark Wang, H., R. Barthelmie, S.G. pryor, and H-G. Kim (2012) A new Turbulence model for offshore wind standards Subm. Geophysical Researh Zilitinkevich, S.S. (1972) On the determination of the height of the Ekman boundary layer Boundary-Layer Meteorol. 3:141–145 Zilitinkevich, S.S. (1975) Resistance laws and prediction equations for the depth of the planetary boundary layer J. Atmos. Sci. 32:741–752 Zilitinkevich, S. , I. Mamarella, A. Baklanov and S. Joffre (2009) The effect of Stratefication on the aerodynamic roughness length Meteorological and Air quality models for urban areas. Springer Berlin <strong>DTU</strong> Wind Energy-E-Report-0029(EN) 51
- Page 1 and 2: Remote Sensing for Wind Energy DTU
- Page 3 and 4: Author: Alfredo Peña, Charlotte B.
- Page 5 and 6: 4 Introduction to continuous-wave D
- Page 7 and 8: 8 Nacelle-based lidar systems 157 8
- Page 9 and 10: 12 Complex terrain and lidars 231 1
- Page 11 and 12: 1 Remote sensing of wind Torben Mik
- Page 13 and 14: Figure 2: Calibration, laboratory w
- Page 15 and 16: Figure 3: Example of scatter plots
- Page 17 and 18: 1.2.3 Summary of sodars Most of tod
- Page 19 and 20: 1.3.3 Wind lidars Measuring wind wi
- Page 21 and 22: Figure 6: CW wind lidars (ZephIRs)
- Page 23 and 24: Further developments Furthermore, n
- Page 25 and 26: 2 The atmospheric boundary layer S
- Page 27 and 28: Figure 9: Large spatial scale varia
- Page 29 and 30: Du3 Dt Du1 Dt Du2 Dt The three mome
- Page 31 and 32: Figure 13: Consensus relations betw
- Page 33 and 34: ψ z L ∼ − 5 L . For unstable c
- Page 35 and 36: Figure 15: Behavior of the turbulen
- Page 37 and 38: Figure 17: Newly developed models t
- Page 39 and 40: The value of q0 at the surface is d
- Page 41 and 42: the spray is the source of icing on
- Page 43 and 44: u∗2 u∗1 u1(h) = u∗1 k ln h
- Page 45 and 46: Figure 26:Land-seabreeze system,whe
- Page 47 and 48: Figure28:Three dimensionalpicture o
- Page 49: sufficient information. Finally, we
- Page 53 and 54: (2010) and comparison under differe
- Page 55 and 56: To get the velocity field from the
- Page 57 and 58: τ(k) [Arbitrary units] 10 3 10 2 1
- Page 59 and 60: (Koopmans, 1974; Bendat and Piersol
- Page 61 and 62: anemometer was installed at each en
- Page 63 and 64: and fSw(f) u 2 ∗ = 1.05n 1+5.3n 5
- Page 65 and 66: and n = 0.468. This spectrum implie
- Page 67 and 68: to be calculated. We do that on a m
- Page 69 and 70: Notation A Charnock constant neutra
- Page 71 and 72: Maxey M. R. (1982) Distortion of tu
- Page 73 and 74: 4.2 Basic principles of lidar opera
- Page 75 and 76: 4.2.5 Wind profiling in conical sca
- Page 77 and 78: 4.3.1 Behaviour of scattering parti
- Page 79 and 80: the beam radius at the output lens.
- Page 81 and 82: from which the value of VLOS is der
- Page 83 and 84: the atmosphere. The SNR 4 for a win
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- Page 87 and 88: A general approach to mitigating th
- Page 89 and 90: from ±VH sinδ (if the tilt is tow
- Page 91 and 92: as a down draught (of the same abso
- Page 93 and 94: Table 7: Combined results from 28 Z
- Page 95 and 96: in Eastern Jutland between January
- Page 97 and 98: Figure 56: Normalized power curves
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References x horizontal position in
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Wagner R., Mikkelsen T., and Courtn
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5.2 End-to-end description of pulse
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Scanner Coherent lidar measure the
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Figure 62: Radial wind velocity ret
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transform in order to use data obta
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This wavelength is also the most fa
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Eq.(132)isadaptedforcollimatedsyste
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5.3.6 Existing systems and actual p
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(Gottshall et al., 2010; Albers et
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References Albers A., Janssen A. W.
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derived from fluctuations of the wi
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Acoustic received echo (ARE) method
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Figure 71: Sample time-height cross
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A gradient minimum is characterized
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Figure73:Bragg-relatedacoustic(belo
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stability (inversion strength) can
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Figure 76: Combined soundingwith a
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Figure 79: Favorite regions (shaded
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Direct detection of MLH from acoust
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Engelbart D.A.M.and Bange J. (2002)
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7 What can remote sensing contribut
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uyms 9.0 8.5 8.0 7.5 7.0 120 140 16
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Bottom of rotor Φ rotation r w u
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Height Height Hub 1.6 1.4 1.2 1.0 0
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PP rated PP rated 1.0 0.8 0.6 0.4 0
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KEprofileKEhub 1.2 1.1 1.0 0.9 0.8
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PP rated WS Lidarms 1.0 0.8 0.6 0.4
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8 Nacelle-based lidar systems Andre
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• Flexibletrajectories.Dependingo
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Figure 104: Sketch of simultaneous
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The normal wind direction vector nw
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Figure 109: Test site at DTU Wind E
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Figure 112: Power curve met mast an
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Notation C number of sent photons C
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9 Lidars and wind turbine control -
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for three unknowns, it is impossibl
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model of the blade pitch actuator,
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|GRL| [-] 1 0.8 0.6 0.4 0.2 10 k [r
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PSD(Ωg) [(rpm) 2 /Hz] PSD(Ωg) [
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0.04 0.03 ˆk [ rad m ] 0.02 0.63 0
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[%] 10 0 −10 −20 −30 MyT Moop
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PSD(θ1) [rad 2 /Hz] PSD(Moop1) [Nm
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Pel/Pel,max [-] 1 0.98 0.96 0.94 0.
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fL weighting function GRL transfer
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E. Hau, Windkraftanlagen, 4th ed. S
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¨¦¦§©¡§ ¥§¨¦¦§£ ¡¥
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vertical (m) 150 100 50 R d 0
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With feedback only, on the other ha
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Figure 136: Estimated preview requi
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Normalized C r = C r P Q 2 W (r) b
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Normalized C r = C r P Q 2 W (r) b
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Coherence 1 0.8 0.6 0.4 0.2 0 10
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Coherence 1 0.8 0.6 0.4 0.2 0 10
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Magnitude Squared 10 8 10 7 10 6 10
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Figure 148: During simulation, FAST
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Figure 149: Collective flap respons
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Magnitude (abs) blade pitch gen spe
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• Measurement coherence, which ca
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Jonkman, B. (2009) TurbSim user’s
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11 Lidars and wind profiles Alfredo
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z [m] 160 100 80 60 40 20 10 15 20
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z [−] zo 1 κ ln 40 38 36 34 32 3
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z [m] z [m] 1000 900 800 700 600 50
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the growth of the length scale, agr
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12 Complex terrain and lidars Ferha
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Figure 158: The ZephIR models which
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Uconst wΑx l h Φ h.tanΦ Figure 1
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Figure 162: Lavrio: The scatter plo
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Figure 163: Panahaiko: The scatter
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References Albers A. and Janssen A.
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Wexler (1968), where the limitation
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13.2.1 Systematic turbulence errors
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where x is the center of the scanni
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The theoretical systematic errors a
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Height (m) 160 140 120 100 80 60 40
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Height (m) Height (m) 160 140 120 1
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RMSPE (%) 70 60 50 40 30 20 10 0 vu
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involves interaction of all compone
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Lindelöw P. (2007) Fibre Based Coh
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plications, including meteorologica
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Figure 173: Rayleigh-Jeans’ appro
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Figure 176: Brightness temperature
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with rain are shown in Fig. 179. A
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This method gives a good accuracy (
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Figure 183: A recent maintenance in
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Figure 185: Temperature profiles in
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References s point in space Sν(s)
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Also the Doppler Centroid anomaly c
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Christiansen et al., 2006). The res
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educe speckle noise, a random noise
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Figure 188: Envisat ASAR wind field
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Figure 190: Envisat ASAR wind field
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Satellites in sun-synchronous polar
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500 overlapping scenes for wind res
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(with the fewest samples). The unce
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Badger M., Hasager C. B., Thompson
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Ren Y. Z., Lehner S., Brusch S., Li
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tracking, climate studies, air-sea
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The modified logarithmic wind profi
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sea ice mask was applied and σ0 me
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QuikSCAT 25 20 15 10 5 Horns Rev Fi
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Figure 203:Example of an ASCAT coas
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References Bourassa M.A., Legler D.
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DTU Wind Energy Technical Universit