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

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118 Chapter 5<br />

<strong>in</strong> <strong>the</strong> NUV considerably, and thus, eases <strong>the</strong> setup of an efficient retrieval approach.<br />

F<strong>in</strong>ally, for GOME(-2), SCIAMACHY and similar <strong>in</strong>struments <strong>in</strong> <strong>the</strong> future we propose to retrieve<br />

cloud parameters from <strong>the</strong> NUV and NIR w<strong>in</strong>dow comb<strong>in</strong>ed. For OMI-type <strong>in</strong>struments that<br />

lack <strong>the</strong> NIR spectral w<strong>in</strong>dow we propose to use <strong>the</strong> NUV w<strong>in</strong>dow <strong>in</strong>clud<strong>in</strong>g <strong>the</strong> R<strong>in</strong>g structures,<br />

which has <strong>the</strong> potential to retrieve all cloud parameters, i.e. cloud pressure, cloud fraction and cloud<br />

optical thickness for cloud fractions larger than 0.4. However, due to <strong>the</strong> sensitivity of <strong>the</strong> retrieval<br />

to an additional noise floor on <strong>the</strong> measurement, but also due to <strong>the</strong> importance to use <strong>the</strong> spectral<br />

cont<strong>in</strong>uum <strong>in</strong> <strong>the</strong> NUV w<strong>in</strong>dow, an accurate calibration of <strong>the</strong> measurement is crucial for this type of<br />

cloud parameter retrieval.

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