Physics
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.582...85m&link_type=abstract
Proceedings of the Second MSG RAO Workshop (ESA SP-582). Salzburg, Austria, 9 - 10 September 2004. Organised by ESA, in cooperat
Physics
Scientific paper
Clouds and their interaction with radiation are still one of the main uncertainties in our understanding of present and the prediction of future climate. MSG/SEVIRI - with its unique combination of time and spatial resolution and spectral information - has the potential of contributing significantly to the reduction of this gap. We have devel- oped a new water and ice cloud detection and microphys- ical properties remote sensing algorithm. Cloud detection and classification is based on a prototype version of the EUMETSAT Scenes Analysis scheme, with a particular emphasis on the detection of thin ice clouds. Cloud mi- crophysical properties are retrieved using tabulated for- ward calculations by a detailed radiative transfer code, libRadtran, which takes into account cloud phase, micro- physical properties as well as a complete description of the background atmosphere and surface. Particular atten- tion is given to the treatment of inhomogeneous clouds where we aim at combining the spectral information of the low-resolution channels with the higher spatial reso- lution of the HRV channel, in order to directly consider sub-pixel cloud inhomogeneity in the retrieval to reduce potential biases. Key words: radiative transfer, cloud, cirrus.
Bugliaro Luca
Gesell Gerhard
Krebs Waldemar
Mannstein Hermann
Mayer Ben
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