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Improving Cloud Information Over Deserts from Sciamachy O2 A-band : Volume 5, Issue 4 (16/08/2005)

By Fournier, N.

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Book Id: WPLBN0003980880
Format Type: PDF Article :
File Size: Pages 27
Reproduction Date: 2015

Title: Improving Cloud Information Over Deserts from Sciamachy O2 A-band : Volume 5, Issue 4 (16/08/2005)  
Author: Fournier, N.
Volume: Vol. 5, Issue 4
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2005
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Graaf, M. D., Koelemeijer, R., Stammes, P., Fournier, N., Piters, A., Kokhanovsky, A., & Der A, R. V. (2005). Improving Cloud Information Over Deserts from Sciamachy O2 A-band : Volume 5, Issue 4 (16/08/2005). Retrieved from http://www.ebooklibrary.org/


Description
Description: KNMI, Climate Research and Seismology Department, De Bilt, The Netherlands. 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 both the SCIAMACHY Level 2 operational cloud fraction of OCRA (Optical Cloud Recognition Algorithm) and cloud information deduced from the MODIS 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 a GOME Absorbing Aerosol Index. It is shown that this approach succeeds well in producing more accurate cloud information over the Sahara.


Summary
Improving cloud information over deserts from SCIAMACHY O2 A-band

 

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