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The MSG-SEVIRI-based cloud property data record CLAAS-2
- Source :
- Earth System Science Data, Vol 9, Pp 415-434 (2017)
- Publication Year :
- 2017
- Publisher :
- Copernicus GmbH, 2017.
-
Abstract
- Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for monitoring clouds and understanding their impact on the energy budget and water cycle. Within the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring (CM SAF), a new cloud property data record was derived from geostationary Meteosat Spinning Enhanced Visible and Infrared Imager (SEVIRI) measurements for the time frame 2004–2015. The resulting CLAAS-2 (CLoud property dAtAset using SEVIRI, Edition 2) data record is publicly available via the CM SAF website (https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V002). In this paper we present an extensive evaluation of the CLAAS-2 cloud products, which include cloud fractional coverage, thermodynamic phase, cloud top properties, liquid/ice cloud water path and corresponding optical thickness and particle effective radius. Data validation and comparisons were performed on both level 2 (native SEVIRI grid and repeat cycle) and level 3 (daily and monthly averages and histograms) with reference datasets derived from lidar, microwave and passive imager measurements. The evaluation results show very good overall agreement with matching spatial distributions and temporal variability and small biases attributed mainly to differences in sensor characteristics, retrieval approaches, spatial and temporal samplings and viewing geometries. No major discrepancies were found. Underpinned by the good evaluation results, CLAAS-2 demonstrates that it is fit for the envisaged applications, such as process studies of the diurnal cycle of clouds and the evaluation of regional climate models. The data record is planned to be extended and updated in the future.
- Subjects :
- lcsh:GE1-350
Ice cloud
010504 meteorology & atmospheric sciences
Meteorology
Cloud top
lcsh:QE1-996.5
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
lcsh:Geology
Lidar
Diurnal cycle
Geostationary orbit
International Satellite Cloud Climatology Project
General Earth and Planetary Sciences
Environmental science
Satellite
Climate model
lcsh:Environmental sciences
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 18663516
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Earth System Science Data
- Accession number :
- edsair.doi.dedup.....23cd5b40257431f12854f5cce626a907