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GUIDE WAVE ANALYSIS AND FORECASTING - WMO

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94<br />

Figure 8.3 — Bragg diffraction of radio waves from a sinusoidal<br />

sea-wave. Conditions for constructively<br />

interfering backscatter from successive crests<br />

(after E. D. R. Shearman, 1983)<br />

receding from the radar and of the correct wavelength.<br />

For a microwave radar these would be ripples of a few<br />

centimetres. However, the mechanisms illustrated in<br />

Figure 8.4 ensure that the longer waves influence (modulate)<br />

the ripples, by:<br />

(a) “Straining” (stretching and compressing the ripples<br />

by the orbital motion of the long waves), accompanied<br />

by velocity modulation;<br />

(b) Tilting the surface on which the ripples move and<br />

so modifying the Bragg resonance condition<br />

through ∆ in Equation 8.2; and<br />

(c) Hydrodynamic interaction, which concentrates on<br />

the leading edge of long waves, or through the<br />

perturbed wind flow over the long-wave crests,<br />

both of which produce a roughness modulation.<br />

A radar observing backscatter from short waves by these<br />

mechanisms sees exhibited, in the spatial variation of<br />

backscatter intensity and in the Doppler spectrum, a<br />

representation of the long waves.<br />

Figure 8.4 — Mechanisms of spatial modulation by long<br />

gravity waves of radar scattering from capillary<br />

waves (a) Straining and velocity modulation of<br />

short wind waves by longer wind waves and<br />

swell; (b) Tilt modulation; and (c) Roughness<br />

modulation (after E. D. R. Shearman, 1983)<br />

(a)<br />

(b)<br />

(c)<br />

wind wave<br />

swell<br />

λ s<br />

λ r /2<br />

∆<br />

<strong>GUIDE</strong> TO <strong>WAVE</strong> <strong>ANALYSIS</strong> <strong>AND</strong> <strong>FORECASTING</strong><br />

8.5.2 Radar altimeter<br />

The higher the waves then, as indicated in Figure 8.2, the<br />

greater the time between the arrivals of returns from the<br />

crests and from the troughs of the waves, and the more<br />

spread out is the return pulse. From our knowledge of<br />

the statistics of the sea surface, this stretching of the<br />

shape of the return pulse can be related quantitatively to<br />

the variance of the sea surface, and hence to the significant<br />

wave height H m0 (using the spectral definition — see<br />

Section 1.3.8). Satellite altimeters usually have a pulse<br />

rate of 1 000 Hz; estimates of H m0 are derived on board<br />

and values averaged over one second are transmitted.<br />

Theoretically, there should be no need to calibrate these<br />

values, but in practice it has been found necessary to do<br />

so, comparing them with buoy measurements (Carter et<br />

al., 1992).<br />

Radar altimeters give near-global coverage and<br />

hence provide wave height data for almost anywhere on<br />

the world’s oceans, including areas where data were<br />

previously very scarce. Four long-term satellite altimeter<br />

missions have so far made global measurements. These<br />

are GEOSAT (1985–89), ERS-1 (1991–), ERS-2<br />

(launched April 1995) and Topex/Poseidon (1992–).<br />

Raw data from each of these missions can be obtained<br />

from the responsible space agencies. Fast delivery data<br />

from the ERS satellites are also available in near-real<br />

time (see also Section 6.4). Note that these data can be<br />

significantly biased compared to reference buoy data and<br />

should therefore be corrected before use. From these<br />

data world maps of significant wave height can be<br />

produced, see, for example, Chelton et al. (1981), and<br />

Challenor et al. (1990) and the example in Figure 8.5. In<br />

addition, specialized products are available from a<br />

number of commercial companies (e.g. Oceanor in<br />

Norway, Satellite Observing Systems in the UK).<br />

The strength of the return pulse is also dependent<br />

upon the statistics of the sea surface which are affected<br />

by the wind speed over the surface. So there is a relationship<br />

between the strength of the return pulse and the<br />

wind speed, but this relationship is complex and not<br />

fully understood. In general the stronger the wind, the<br />

lower the strength of the return. Various algorithms have<br />

been derived from observations which give estimates of<br />

wind speed at 10 m above the sea surface from the<br />

strength of the altimeter return, but further work needs to<br />

be done to determine which is the most accurate, see, for<br />

example, Witter and Chelton (1991) and the recent studies<br />

based on the Topex/Poseidon data (Freilich and<br />

Challenor, 1994; Lefevre et al., 1994).<br />

8.5.3 Oblique platform-mounted sensors<br />

An interesting sensor for measurements at fixed sites,<br />

using the phenomena shown in Figure 8.4 to measure<br />

wave characteristics, is the Norwegian MIROS<br />

microwave wave radar (Grønlie et al., 1984), which uses<br />

an oblique 6 GHz (5 cm wavelength) beam and a radar<br />

range resolution of 7.5 m. The velocity of ripples is

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