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Moreover,SSTpartlyadjuststhe atmosphericstratificationwhichalsoaffects the backscattered<br />

signal. Under very stable conditions, the surface winds tend to be lower due to decoupling<br />

from the higher atmospheric levels. In such a case the surface stress is lower, thus σ0<br />

is lower. But, the atmospheric stability also controls if there is any discrepancy between the<br />

scatterometer derived wind and the “surface truth”, due to the ENW convention.<br />

Scatterometers observe relative to the sea surface. Strong currents can contaminate the<br />

wind velocity retrieval. Dickinson et al. (2001) used measurements from the Tropical Atmosphere<br />

Ocean (TAO) buoy array stating that when the current and wind had the same<br />

direction, the scatterometer speed was expected to be lower than in situ wind speeds.<br />

As stated in Hoffman and Leidner (2005), light winds can pose a problem for the wind<br />

retrieval as in such cases the ocean surface is very smooth and acts more as a reflector rather<br />

than a scatterer. Very high winds can also be problematic as the buoy and modelled data<br />

used to calibrate the GMFs tend to under-represent very high winds.<br />

16.5 QuikSCAT<br />

The SeaWinds scatterometer on board NASA’s QuikSCAT platform was the first scatterometer<br />

to operate for many consecutive years. It provided valuable, consistent and frequent observations<br />

of the global ocean both in terms of speed and direction. QuikSCAT was launched<br />

in June 1999 with a design life-time of 3 years, as a quick recovery mission to fill the gap from<br />

the loss of NSCAT. The scatterometer’s antenna failed rotating on the 23rd of November<br />

2009, far exceeding the design life-time.<br />

At an altitude of 803 km, QuikSCAT completed each orbit in approximately 101 minutes,<br />

ascending in the morning and descending in the afternoon (see Figure 200 for an example).<br />

With a wide swath of 1800 km it covered 93% of the global ocean each day. SeaWinds was<br />

an active microwave radar operating at 13.4 GHz (Ku band), radiating microwave pulses<br />

through a 1 m diameter antenna, and measuring the power of the signal returning back to<br />

the instrument. The σ0 “footprint” cell had dimensions of 25·37 km and the averaging area,<br />

the Wind Vector Cell was a square box of 25·25 km.<br />

Figure 199: Graphical representationof the scanninggeometryof the SeaWinds scatterometer<br />

on the QuikSCAT platform. The darker areas are covered by four looks of the antenna beams,<br />

while the light areas by two looks. Note that there is no gap in the nadir track. Taken from<br />

Martin (2004).<br />

Each σ0 “footprint” cell, also called “the egg”, consisted of 12 slices. σ0 was calculated for<br />

both the full “egg” and for each of the 8 inner slices. This meant that SeaWinds measured σ0<br />

at a variety of dimensions, i.e. the “footprint”, the inner slices and a variety of “footprints”<br />

composed of combinations of slices. For more information, see Martin (2004). Backscattered<br />

signals were received from the sea, land and ice but the scattering processes over land and<br />

ice are different than those over open ocean. Therefore, the scattering from land and ice can<br />

contaminate the WVC and needs to be identified and removed. For this reason, a land and<br />

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

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