Operational climate monitoring from space: The EUMETSAT satellite application facility on climate monitoring (CM-SAF)

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Abstract

The Satellite Application Facility on Climate Monitoring (CM-SAF) aims at the provision of satellitederived geophysical parameter data sets suitable for climate monitoring. CM-SAF provides climatologies for Essential Climate Variables (ECV), as required by the Global Climate Observing System implementation plan in support of the UNFCCC. Several cloud parameters, surface albedo, radiation fluxes at the top of the atmosphere and at the surface as well as atmospheric temperature and humidity products form a sound basis for climate monitoring of the atmosphere. The products are categorized in monitoring data sets obtained in near real time and data sets based on carefully intercalibrated radiances. The CM-SAF products are derived from several instruments on-board operational satellites in geostationary and polar orbit as the Meteosat and NOAA satellites, respectively. The existing data sets will be continued using data from the instruments on-board the new joint NOAA/EUMETSAT Meteorological Operational Polar satellite. The products have mostly been validated against several ground-based data sets both in situ and remotely sensed. The accomplished accuracy for products derived in near real time is sufficient to monitor variability on diurnal and seasonal scales. The demands on accuracy increase the longer the considered time scale is. Thus, interannual variability or trends can only be assessed if the sensor data are corrected for jumps created by instrument changes on successive satellites and more subtle effects like instrument and orbit drift and also changes to the spectral response function of an instrument. Thus, a central goal of the recently started Continuous Development and Operations Phase of the CM-SAF (2007-2012) is to further improve all CM-SAF data products to a quality level that allows for studies of interannual variability.

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  • Table 1. Overview on CM-SAF product properties. CDR classes belong to those introduced in Sect. 2. Spatial resolution is given in km2 for products on equal area grids, others are on latitude/longitude grids. Codes for temporal resolution are: M=monthly mean, D=daily mean, MDC=monthly diurnal cycle (hourly values averaged over the month).
  • Fig. 1. Monthly mean cloud-top temperature for September 2007 derived from AVHRR observations (top panel) and from Meteosat9/SEVIRI (lower panel).
  • Fig. 2. Monthly mean cloud liquid water path for September 2007 derived from Meteosat-9/SEVIRI observations.
  • Fig. 3. Monthly mean vertically integrated water vapor (upper panel), corresponding extra daily standard deviation (middle panel) and number of independent observations (lower panel) derived from ATOVS data for September 2006.
  • Fig. 4. Daily mean of vertically integrated water vapor (upper panel), daily error (middle panel) and number of independent observations (lower panel) derived from ATOVS data for 8 September 2006.
  • Fig. 5. Global comparison of daily averages of vertically integrated water vapor for October 2004: all data (top left), data north and south of 60◦ latitude (top right), data over ocean (bottom left) and data over land (bottom right).
  • Fig. 6. Global mean bias for the total column and layered water vapor contents.
  • Fig. 7. Top of atmosphere monthly mean data for June 2007 of thermal emitted (left panel) and reflected solar flux (right panel), respectively.

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CITATION STYLE

APA

Schulz, J., Albert, P., Behr, H. D., Caprion, D., Deneke, H., Dewitte, S., … Zelenka, A. (2009). Operational climate monitoring from space: The EUMETSAT satellite application facility on climate monitoring (CM-SAF). Atmospheric Chemistry and Physics, 9(5), 1687–1709. https://doi.org/10.5194/acp-9-1687-2009

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