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| Titel |
11 Years of Cloud Characteristics from SEVIRI: 2nd Edition of the CLAAS Dataset by CMSAF |
| VerfasserIn |
Stephan Finkensieper, Martin Stengel, Jan Fokke Meirink, Gerd-Jan van Zadelhoff, Anke Kniffka |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250126174
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| Publikation (Nr.) |
 EGU/EGU2016-5864.pdf |
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| Zusammenfassung |
| Spatiotemporal variability of clouds is an important aspect of the climate system. Therefore
climate data records of cloud properties are valuable to many researchers in the climate
community. The passive SEVIRI imager onboard the geostationary Meteosat Second
Generation satellites is well suited for the needs of cloud retrievals as it provides
measurements in 12 spectral channels every 15 minutes and thus allows for capturing both the
spatial and the temporal variability of clouds. However, requirements on climate data
records are high in terms of record length and homogeneity, so that intercalibration
and homogenization among the available SEVIRI instruments becomes a crucial
factor.
We present the 2nd edition of the CLoud Property DAtAset using SEVIRI (CLAAS-2)
generated within the EUMETSAT Satellite Application Facility on Climate Monitoring
(CMSAF), that is temporally extended and qualitatively improved compared to the 1st
edition. CLAAS-2 covers the time period 2004-2014 and features cloud mask, cloud top
properties, cloud phase, cloud type, and microphysical cloud properties on the complete
SEVIRI disc in 15-minute temporal resolution. Temporally and spatially averaged quantities,
mean diurnal cycles and monthly histograms are included as well. CLAAS-2 was derived
from a homogenized data basis, obtained by intercalibrating visible and infrared SEVIRI
radiances (of Meteosat 8, 9 and 10) with MODIS, using state-of-the-art retrieval
schemes.
In addition to the dataset characteristics, we will present validation results using
CALIPSO as reference observations. The CLAAS-2 dataset will allow for a large variety of
applications of which some will be indicated in our presentation, with focus on determining
diurnal to seasonal cycles, spatially resolved frequencies of cloud properties as
well as showing the potential for using CLAAS-2 data for model process studies. |
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