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Figure 48: Cloud removal for a vertical scan CW lidar. The left plot shows the lidar conical<br />

scan focused at a typical height above ground level. The Lorentzian sensitivity curve is also<br />

shown; a spurious return is generated when the far wing of this curve intersects a strongly<br />

scattering low cloud layer. The right plot shows the aerosol (red) and cloud (purple) returns<br />

as the lidar is focused at various heights - the level of cloud contamination increases with<br />

focus height. The cloud signal is easily identified from the 800 m focus, and these data are<br />

then used to eliminate the cloud return at the measurement heights.<br />

Table 5: Results of correlation analysis of 10-minute averaged horizontal wind speed for a<br />

ZephIR 300 trial at Høvsøre, Denmark in March 2011. Gradients, m, (forced through the<br />

origin) and coefficients of determination, R2, of unity would imply perfect agreement between<br />

the lidar and the mast-mounted cup anemometers. (It should be noted that the slopes<br />

very close to unity are slightly fortuitous, since the cup anemometer measurements have<br />

uncertainties at least of order ±1%, due to calibration and mounting/shadowing effects).<br />

4.6.3 System positioning accuracy<br />

Height AGL [m] Slope m R 2<br />

116 0.993 0.977<br />

100 0.987 0.988<br />

80 0.984 0.992<br />

60 0.990 0.992<br />

40 1.007 0.992<br />

Correct alignment ensures the risks are low, but errors in aligning the lidar during set-up will<br />

have an impact on the measurement of wind bearing (if the lidar is rotated from its correct<br />

orientation) and vertical wind speed (if the lidar is tilted, so that the axis of its conical scan<br />

is not precisely vertical). For a small tilt angle δ, the error in vertical wind speed w will vary<br />

88 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)

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