%0 Generic
%A Grzegorski, Michael
%D 2009
%F heidok:10423
%K SCIAMACHY , Wolken , GOME , Fernerkundung , WolkenhöheSCIAMACHY , cloud, GOME , remote sensing , cloud height
%R 10.11588/heidok.00010423
%T Cloud retrieval from UV/VIS satellite instruments : (SCIAMACHY and GOME)
%U https://archiv.ub.uni-heidelberg.de/volltextserver/10423/
%X The detection of cloud parameters like cloud fraction and cloud top height from satellite is an important issue: 1.) for meteorology and the investigation of climate change and 2.) for the space-based analysis of tropospheric trace gases relevant to environmental and climatological issues. The Heidelberg Iterative Cloud Retrieval Utilities (HICRU) algorithm retrieves effective cloud fraction, cloud height and surface albedo. Reflectances from broad-band spectrometers (617-705nm) and spectral analysis (DOAS) of the O2-gamma-band around 630nm are used. The radiative transfer is included using the Monte-Carlo models TRACY II and McArtim. The algorithm is applied to SCIAMACHY on ENVISAT and GOME on ERS-2. The results are validated using lidar/radar measurements from the surface, intercomparisons with cloud retrievals for satellite instruments like MERIS and MODIS, climatological values from ISCCP and other SCIAMACHY/GOME cloud retrievals. The new algorithm and data products form an improvement to the results of existing algorithms and gives reliable results in particular for problematic areas like deserts and regions with seasonal cloud coverage, which often lead to problems for cloud algorithms.