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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 1
Atmos. Chem. Phys., 6, 163-172, 2006
https://doi.org/10.5194/acp-6-163-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: Geophysical validation of SCIAMACHY: 2002-2004

Atmos. Chem. Phys., 6, 163-172, 2006
https://doi.org/10.5194/acp-6-163-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  25 Jan 2006

25 Jan 2006

Improving cloud information over deserts from SCIAMACHY Oxygen A-band measurements

N. Fournier1, P. Stammes1, M. de Graaf1, R. van der A1, A. Piters1, M. Grzegorski2, and A. Kokhanovsky3 N. Fournier et al.
  • 1KNMI, Climate Research and Seismology Department, De Bilt, The Netherlands
  • 2Institute of Environmental Physics, University of Heidelberg, Germany
  • 3Institute of Remote Sensing, University of Bremen, Germany

Abstract. The retrieval of column densities and concentration profiles of atmospheric trace gas species from satellites is sensitive to light scattered by clouds. 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. FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A-band) is a fast and robust algorithm providing cloud information from the O2 A-band for cloud correction of ozone. FRESCO provides a consistent set of cloud products by retrieving simultaneously effective cloud fraction and cloud top pressure. The FRESCO retrieved values are compared with the SCIAMACHY Level 2 operational cloud fraction of OCRA (Optical Cloud Recognition Algorithm) but, also, with cloud information from HICRU (Heidelberg Iterative Cloud Retrieval Utilities), SACURA (SemiAnalytical CloUd Retrieval Algorithm) and the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument. The results correlate well, but FRESCO overestimates cloud fraction over deserts. Thus, to improve retrievals at these locations, the FRESCO surface albedo databases are decontaminated from the presence of desert dust aerosols. This is achieved by using the GOME Absorbing Aerosol Index. It is shown that this approach succeeds well in producing more accurate cloud information over the Sahara.

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