Remote Sensing of Water and Ice Clouds Frommsg/seviri

Physics

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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. Within the frame- work of the MSG RAO-project we have developed a new water and ice cloud detection and microphysical prop- erties remote sensing algorithm, APICS (Algorithm for the Physical Interpretation of Clouds with SEVIRI). An MSG cirrus detection algorithm (MeCiDA) was devel- oped with special emphasis on optically thin ice clouds. Finally, a fast method to derive top-of-atmosphere ra- diation fluxes from MSG was developed. With these tools we studied the impact of air traffic on cirrus cloud cover and on the Earth’s radiation budget. Our current work concentrates on the generation of artificial satel- lite images, combining our experience with remote sens- ing of inhomogeneous clouds and radiative transfer. This manuscript is an update of the paper produced for the 2nd RAO workshop and summarizes the final results. Key words: radiative transfer, cloud, cirrus.

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