Digital Object Identifier
Entry information for CFC_METEOSAT_V001

Title

CM SAF ClOud Fractional Cover dataset from METeosat First and Second Generation - Edition 1 (COMET Ed. 1)

Citation

Stöckli, Reto; Duguay–Tetzlaff, Anke; Bojanowski, Jedrzej; Hollmann, Rainer; Fuchs, Petra; Werscheck, Martin (2017): CM SAF ClOud Fractional Cover dataset from METeosat First and Second Generation - Edition 1 (COMET Ed. 1), Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/CFC_METEOSAT/V001, https://doi.org/10.5676/EUM_SAF_CM/CFC_METEOSAT/V001. [BibTeX entry]

Publisher

Satellite Application Facility on Climate Monitoring (CM SAF)

Publication year

2017

Author(s)

Stöckli, Reto; Duguay–Tetzlaff, Anke; Bojanowski, Jedrzej; Hollmann, Rainer; Fuchs, Petra; Werscheck, Martin

Description

This Thematic Climate Data Record (TCDR) provides cloud fractional cover (CFC) derived from the Meteosat Visible and InfraRed Imager (MVIRI) on board the Meteosat First Generation (MFG) and the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites. The covered time period ranges from January 1991 to December 2015, thus includes MFG 4 to 7 and MSG 1 to 3. Original thermal radiances were inter-calibrated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) using the High Resolution Infrared Radiation Sounder (HIRS) as a reference. The Meteosat CFC is presented as hourly, daily and monthly composites on a 0.05°x0.05° grid covering the entire Meteosat disk (Africa and Europe). The CFC data is derived from two Meteosat heritage channels by use of an advanced Bayesian retrieval algorithm. It employs continuous cloud scores, which are built on a contemporaneous clear sky background inversion. The Meteosat CFC is characterized by comparability to the SYNOP-based long-term CFC observations carried out at WMO ground stations. The Meteosat CFC is therefore useful to supplement the ground-based CFC estimates in areas with low station density or high spatio-temporal CFC variability. Along with the data, a comprehensive documentation including user guide, algorithm descriptions and extensive validation studies, is given.

Format

NetCDF v4

Version

1.0

Geographic coverage

Latitude: -65.00° S to 65.00° N
Longitude: -65.00° W to 65.00° E

Size

1.6 TiB

Documentation

• Product User Manual (PUM) Meteosat Cloud Fractional Cover
• Validation Report (VAL) Meteosat Cloud Fractional Cover
• Algorithm Theoretical Baseline Document (ATBD) Meteosat Cloud Fractional Cover

Related publications

• Stöckli, R., Bojanowski, J.S., John, V.O., Duguay-Tetzlaff, A., Bourgeois, Q., Schulz, J., Hollmann, R., 2019, Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications, Remote Sensing, Vol. 11 (9), 1052, doi:10.3390/rs11091052
• Bojanowski, J.S., Stöckli, R., Duguay-Tetzlaff, A., Finkensieper, S., Hollmann, R., 2018, Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations, Remote Sensing, Vol. 10 (5), 804, doi:10.3390/rs10050804

Related Data Records

• An updated version of this data record is available from here: DOI:10.5676/EUM_SAF_CM/CFC_METEOSAT/V002.

Data record details and ordering

This data record is superseded by a new version (see related data records). If you need access to products from this data record, please contact our User Help Desk (contact.cmsaf@dwd.de).

Products from Meteorological satellite (METEOSAT)

• Fractional cloud cover (CFC, Monthly mean)
• Fractional cloud cover (CFC, Monthly mean diurnal-cycle)
• Fractional cloud cover (CFC, Hourly mean)
• Fractional cloud cover (CFC, Daily mean)