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Rotational Raman scattering in the Earth's atmosphere ... - SRON

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114 Chapter 5<br />

for <strong>the</strong> comb<strong>in</strong>ation of <strong>the</strong> VIS and NIR w<strong>in</strong>dows. However, <strong>the</strong> retrieval of cloud optical thickness is<br />

more sensitive to <strong>the</strong> noise floor than for <strong>the</strong> NUV + NIR comb<strong>in</strong>ation. The third column of Fig. 5.7<br />

presents retrieval simulations of <strong>the</strong> comb<strong>in</strong>ed NUV and NIR w<strong>in</strong>dows when <strong>in</strong> addition to <strong>the</strong> cloud<br />

parameters also <strong>the</strong> power law scal<strong>in</strong>g factor is fitted to <strong>the</strong> spectra <strong>in</strong> each w<strong>in</strong>dow. In this case when<br />

<strong>the</strong> spectral cont<strong>in</strong>uum of <strong>the</strong> NUV w<strong>in</strong>dow is described by <strong>the</strong> wavelength dependent scal<strong>in</strong>g factor,<br />

<strong>the</strong> retrieval of <strong>the</strong> NIR w<strong>in</strong>dow is not improved by <strong>the</strong> extra measurements <strong>in</strong> <strong>the</strong> NUV. This can be<br />

expla<strong>in</strong>ed by our previous f<strong>in</strong>d<strong>in</strong>g that <strong>the</strong> extra <strong>in</strong>formation of <strong>the</strong> NUV with respect to <strong>the</strong> NIR retrieval<br />

orig<strong>in</strong>ates from <strong>the</strong> cont<strong>in</strong>uum signature of <strong>the</strong> NUV w<strong>in</strong>dow. However, <strong>the</strong> NIR retrieval can<br />

be improved by <strong>the</strong> synergistic use of both spectral w<strong>in</strong>dows when only a wavelength-<strong>in</strong>dependent<br />

scal<strong>in</strong>g factor is fitted to <strong>the</strong> spectrum. We can <strong>the</strong>n retrieve <strong>the</strong> cloud fraction f c with a maximum<br />

sensitivity C f ≈ 1 for nearly all cloud fractions.<br />

Fur<strong>the</strong>rmore, we found that for <strong>the</strong> NUV + NIR spectral comb<strong>in</strong>ation <strong>the</strong> R<strong>in</strong>g effect does not significantly<br />

contribute to <strong>the</strong> retrieval of cloud parameters. To demonstrate this we replaced <strong>the</strong> NUV<br />

reflectivity spectrum with a NUV reflectivity spectrum where we did not take <strong>in</strong>elastic <strong>Raman</strong> <strong>scatter<strong>in</strong>g</strong><br />

<strong>in</strong>to account. This modification of <strong>the</strong> measurement simulation hardly affected <strong>the</strong> retrieval<br />

sensitivity. The loss of sensitivity of <strong>the</strong> NUV measurement with respect to cloud top pressure is<br />

completely compensated by <strong>the</strong> sensitivity of <strong>the</strong> O 2 A absorption band <strong>in</strong> <strong>the</strong> NIR measurement. For<br />

<strong>the</strong> design of a future <strong>in</strong>strument this means that <strong>the</strong> spectral resolution requirement on <strong>the</strong> NUV measurements<br />

can be relaxed, because it is not needed to resolve <strong>the</strong> spectrally f<strong>in</strong>e R<strong>in</strong>g effect features<br />

<strong>in</strong> <strong>the</strong> spectrum. Fur<strong>the</strong>rmore, our results implicate that it allows one to simulate <strong>the</strong> R<strong>in</strong>g effect on<br />

<strong>the</strong> spectrum with a pre-calculated R<strong>in</strong>g spectrum and certa<strong>in</strong> fudge parameters, such as an amplitude<br />

of <strong>the</strong> R<strong>in</strong>g spectrum, to account for <strong>the</strong> different strength of <strong>the</strong> R<strong>in</strong>g effect depend<strong>in</strong>g on <strong>the</strong> atmospheric<br />

state. This commonly used approach (e.g. Chance [1998]) eases <strong>the</strong> time-consum<strong>in</strong>g radiative<br />

transfer calculations that <strong>in</strong>clude <strong>in</strong>elastic <strong>Raman</strong> <strong>scatter<strong>in</strong>g</strong> considerably.<br />

Overall, <strong>the</strong> comb<strong>in</strong>ation of <strong>the</strong> NUV and NIR w<strong>in</strong>dow is superior to <strong>the</strong> comb<strong>in</strong>ation of <strong>the</strong> VIS<br />

and NIR spectral range. It improves <strong>the</strong> NIR and NUV cloud retrieval significantly so that all three<br />

cloud parameters, i.e. cloud top pressure, cloud fraction and cloud optical thickness can be retrieved<br />

from <strong>the</strong> measurement with a high robustness to random-like measurement biases. This added value<br />

compared to a s<strong>in</strong>gle NIR w<strong>in</strong>dow approach orig<strong>in</strong>ates from <strong>the</strong> spectral shape of <strong>the</strong> cont<strong>in</strong>uum <strong>in</strong><br />

<strong>the</strong> NUV w<strong>in</strong>dow. The relative R<strong>in</strong>g structures do not provide significant extra <strong>in</strong>formation <strong>in</strong> this<br />

comb<strong>in</strong>ation. This means that <strong>the</strong> maximum benefit of <strong>the</strong> synergistic use of both spectral w<strong>in</strong>dows<br />

can only be achieved when <strong>the</strong> broadband spectral features are exploited <strong>in</strong> <strong>the</strong> spectrum. Therefore,<br />

<strong>the</strong> broadband radiometric calibration of <strong>the</strong> NUV requires special attention for <strong>the</strong> retrieval of cloud<br />

properties.<br />

5.7 Summary and conclusion<br />

The majority of satellite-based reflectivity measurements are affected by clouds. To enable trace gas<br />

retrievals for cloudy scenes it is essential to retrieve auxiliary parameters that adequately describe <strong>the</strong><br />

clouds. Our purpose was to f<strong>in</strong>d out which spectral w<strong>in</strong>dow or which comb<strong>in</strong>ation of w<strong>in</strong>dows is most

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