Rotational Raman scattering in the Earth's atmosphere ... - SRON
Rotational Raman scattering in the Earth's atmosphere ... - SRON
Rotational Raman scattering in the Earth's atmosphere ... - SRON
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A vector radiative transfer model us<strong>in</strong>g <strong>the</strong> perturbation <strong>the</strong>ory approach 65<br />
can be <strong>in</strong>terpreted as a measure of <strong>the</strong> conversion bias. Obviously, b mean depends on <strong>the</strong> selected<br />
spectral range of <strong>the</strong> measurement. In <strong>the</strong> follow<strong>in</strong>g we consider two examples: (a) <strong>the</strong> spectral range<br />
290–313 nm, which can be used for ozone profile retrieval (see e.g. Hasekamp and Landgraf [2001])<br />
and (b) two detector b<strong>in</strong>s related to <strong>the</strong> center of <strong>the</strong> Ca II K and H Fraunhofer l<strong>in</strong>es at 393.5 and<br />
396.8 nm, which conta<strong>in</strong> <strong>in</strong>formation on <strong>the</strong> cloud distribution of <strong>the</strong> observed ground scene [Jo<strong>in</strong>er<br />
and Bhartia, 1995]. In <strong>the</strong> case of ozone profile retrieval <strong>the</strong> mean relative bias b mean due to <strong>the</strong> neglect<br />
of <strong>Raman</strong> <strong>scatter<strong>in</strong>g</strong> <strong>in</strong> <strong>the</strong> polarization correction is 0.3 and 0.7 for <strong>the</strong> error scenarios e max and e m<strong>in</strong> ,<br />
respectively. This <strong>in</strong>dicates that <strong>the</strong> mean bias is below <strong>the</strong> <strong>in</strong>strument noise for this application.<br />
However, at <strong>the</strong> center of <strong>the</strong> Ca II Fraunhofer l<strong>in</strong>es b mean reaches values of 10.0 and 11.34 for both<br />
error scenarios. So <strong>in</strong> this case <strong>the</strong> bias is 10 times as large as <strong>the</strong> <strong>in</strong>strument noise, which can cause<br />
serious problems for <strong>the</strong> <strong>in</strong>terpretation of <strong>the</strong> fill<strong>in</strong>g-<strong>in</strong> of <strong>the</strong>se Fraunhofer l<strong>in</strong>es.<br />
For retrieval purposes <strong>the</strong> polarization correction can be avoided, if one attempts to reproduce <strong>the</strong><br />
polarization sensitive measurement I pol,i <strong>in</strong>stead of a polarization corrected radiance measurement.<br />
For GOME this requires <strong>the</strong> simulation of Stokes parameters I i and Q i of <strong>the</strong> backscattered sunlight.<br />
Hasekamp et al. [2002] have demonstrated that this approach provides a clear improvement for ozone<br />
profile retrieval from GOME reflectance measurements, compared to a retrieval approach us<strong>in</strong>g polarization<br />
corrected radiances. The retrieval approach utilizes measurement simulations, which are<br />
performed for a Rayleigh <strong>scatter<strong>in</strong>g</strong> <strong>atmosphere</strong>. To <strong>in</strong>clude R<strong>in</strong>g structures <strong>in</strong> <strong>the</strong> simulations one<br />
may <strong>in</strong>troduce R<strong>in</strong>g spectra <strong>in</strong> <strong>the</strong> different Stokes parameters of <strong>the</strong> polarization sensitive GOME<br />
measurement <strong>in</strong> Eq. (3.60), viz.<br />
I pol = (1 + R I,vec )I ray,vec + m 12 (1 + R Q,vec )Q ray,vec . (3.65)<br />
To simplify matters we omit <strong>the</strong> pixel <strong>in</strong>dex i on <strong>the</strong> spectra.<br />
For an efficient simulation of polarization sensitive GOME measurements one can try to approximate<br />
<strong>the</strong> R<strong>in</strong>g structures of I pol by a simplified calculation scheme. The results of <strong>the</strong> previous section<br />
suggest to neglect <strong>the</strong> R<strong>in</strong>g spectrum R Q,vec <strong>in</strong> Eq. (3.65) because of its small value. Thus we first<br />
consider <strong>the</strong> approximation<br />
I app1 = (1 + R I,vec )I ray,vec + m 12 Q ray,vec . (3.66)<br />
Subsequently, we replace <strong>the</strong> R<strong>in</strong>g spectrum R I,vec by <strong>the</strong> respective scalar and s<strong>in</strong>gle <strong>scatter<strong>in</strong>g</strong> spectra,<br />
which yields <strong>the</strong> approximations<br />
I app2 = (1 + R I,sca )I ray,vec + m 12 Q ray,vec , (3.67)<br />
I app3 = (1 + R I,ssc )I ray,vec + m 12 Q ray,vec . (3.68)<br />
In <strong>the</strong> context of GOME measurement simulations <strong>the</strong> goodness of <strong>the</strong>se approximations can be assessed<br />
us<strong>in</strong>g <strong>the</strong> mean relative bias b mean <strong>in</strong> Eq. (3.64) with b i = I app,i − I pol,i . Aga<strong>in</strong> we consider<br />
<strong>the</strong> mean bias for <strong>the</strong> spectral range 290-313 nm as well as at <strong>the</strong> center of <strong>the</strong> Ca II Fraunhofer l<strong>in</strong>es.<br />
Figure 3.12 shows b mean for <strong>the</strong> spectral w<strong>in</strong>dow of ozone profile retrieval as functions of <strong>the</strong> solar<br />
zenith angle, of <strong>the</strong> view<strong>in</strong>g zenith angle and of <strong>the</strong> relative azimuthal angle for a fixed model <strong>atmosphere</strong>.<br />
The dependence on atmospheric parameters is demonstrated <strong>in</strong> Fig. 3.13, which shows <strong>the</strong>