SCIAMACHY Cloud Product Validation

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Fresco, Ocra, Cloud Fraction, Cloud Top Pressure

Scientific paper

Radiative scattering by clouds leads to errors in the retrieval of column densities and concentration profiles of atmospheric trace gas species from satellites. The SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument on the Envisat satellite, principally designed to retrieve trace gases in the atmosphere, is also capable of detecting clouds. Cloud fraction is retrieved using the Optical Cloud Recognition Algorithm (OCRA). In this paper, this Level 2 operational cloud product is compared to the results from other cloud algorithms such as FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A-band). It is shown that the retrieved cloud fractions correlate well between OCRA and FRESCO since the 28t h April 2004. FRESCO provides a consistent set of cloud products by retrieving simultaneously cloud fraction and cloud top pressure. Moreover, FRESCO retrievals are corroborated with cloud top pressure from MODIS. Other algorithms such as HICRU (cloud fraction) and SACURA (cloud top pressure) are also available to validate independently these cloud products.

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