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ADAlgorithm Document PSDProduct Specification Document AvData Availability CProduct Content
Cloud cover fraction ESA
Aug 2002 to April 2012 *)    v3.01
KNMI
Jan 2003 to April 2012 v5: demonst
IUP Heidelberg
Jan 2003 to Nov 2004    
Cloud pressure KNMI
Jan 2003 to April 2012 v5: demonst
Cloud top height IFE/IUP Bremen
Jul 2002 to April 2012    
ESA
Aug 2002 to April 2012 *)    v3.01
Cloud optical thickness IFE/IUP Bremen
Jul 2002 to April 2012    
ESA
Aug 2002 to April 2012 *)    v3.01
Liquid water path IFE/IUP Bremen
Jul 2002 to April 2012    
Phase index IFE/IUP Bremen
Jul 2002 to April 2012    
TOA reflectance (443nm) IFE/IUP Bremen
Jul 2002 to April 2012    
Droplet effective radius IFE/IUP Bremen
Jul 2002 to April 2012    
Polar Stratospheric Clouds IFE/IUP Bremen
Jan 2003 to April 2012      
*): some restrictions on data use, see product details (click on institute)
Cloud cover fraction by KNMI (last update: 6-5-2008)
validation summary The FRESCO+ sc-v5 effective cloud fraction is the cloud fraction of a Lambertian cloud with albedo 0.8 yielding the same TOA radiance as the real cloud in the scene. Generally the effective cloud fraction is smaller than the geometric cloud fraction. The FRESCO+ sc-v5 effective cloud fraction is consistent with that from other algorithms, like HICRU (from IUP Heidelberg) and OCRA (from DLR, used in level 2 v3.01), within 0.05 for all surfaces, excluding snow and ice (Van der A et al., 2006).
available data January 2003 to now. Data can be accessed via the TEMIS website.
point of contact Ping Wang
algorithm description The algorithm is described in the Algorithm Document.
product details All details can be found in the Product Specification Document.
validation results Validation results can be found on the TEMIS website and in the literature below.


SCIAMACHY Cloud cover fraction (KNMI) validation literature:
  • Improving cloud information over deserts from SCIAMACHY oxygen A-band measurements
    Fournier, N., P. Stammes, M. de Graaf, R. van der A, A. Piters, M. Grzegorski and A. Kokhanovsky
    Abstract/Article: Atmospheric Chemistry and Physics 6, 163–172, 2006
    Product: cloud
    Institute: "KNMI, Climate Research and Seismology Department, De Bilt, The Netherlands Institute of Environmental Physics, University of Heidelberg, Germany Institute of Remote Sensing, University of Bremen, Germany"
    Method: HICRU (Heidelberg Iterative Cloud Retrieval Utilities), SACURA (SemiAnalytical CloUd Retrieval Algorithm) and the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument (scene over Sahara)
  • FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals
    Wang, P., P. Stammes, R. van der A, G. Pinardi and M. van Roozendael
    Abstract/Article: Atmospheric Chemistry and Physics 8, 6565-6576, 2008
    Product: FRESCO and FRESCO+ effective cloud cover fraction and cloud pressure
    Institute: KNMI
    Method: Compare FRESCO+ with FRESCO effective cloud fraction and cloud pressures using simulated spectra and GOME measured spectra
  • Comparison of the SCIAMACHY operational L2 cloud product with other satellite data
    Wang, P., P. Stammes and R. van der A
    Abstract/Article: Proc. of ACVE-3, SP-642, February 2007, ESA, Noordwijk, The Netherlands
    Product: SCIAMACHY operational L2 cloud fraction and cloud top height
    Institute: KNMI
    Method: Compare SCIAMACHY operational L2 cloud fraction and cloud top height to FRESCO effective cloud fraction and cloud top height

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