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Comparison of operational cloud properties derived from gome/ers-2 and msg/seviri data.
| Content Provider | CiteSeerX |
|---|---|
| Author | Loyola, Diego Thomas, Werner Albert, Peter Aberle, Bernd Livschitz, Yakov Hollmann, Rainer |
| Abstract | We focus on the retrieval of cloud properties appropriate for trace gas retrieval from sun-normalized UV/VIS backscatter spectra obtained from the Global Ozone Monitoring Experiment (GOME) on-board ERS-2. A data fusion technique is applied to calculate the fractional cloud cover of GOME footprints from GOME’s Polarization Measurement Devices (PMDs). Furthermore, cloudtop albedo and cloud-top height are retrieved simultaneously from GOME measurements around the oxygen A-band by a neural network approach. We compare the operationally derived GOME results with corresponding results from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer on-board the first EUMET-SAT METEOSAT Second Generation (MSG-1) geostationary spacecraft. Finally we present the latest development of the GOME cloud retrieval algorithms, including the initial results obtained with GOME-2/MetOp in the framework of EUMETSAT’s Satellite Application Facility |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Cloud Property Cloud-top Height Trace Gas Retrieval Gome Polarization Measurement Device Neural Network Approach Spinning Enhanced Visible Gome Measurement Initial Result Corresponding Result Infrared Imager Geostationary Spacecraft Cloudtop Albedo Sun-normalized Uv Vi Backscatter Spectrum Gome Result Gome-2 Metop Data Fusion Technique Fractional Cloud Cover Global Ozone Monitoring Experiment First Eumet-sat Meteosat Second Generation On-board Ers-2 Oxygen A-band Satellite Application Facility Gome Footprint Gome Cloud Retrieval Algorithm |
| Content Type | Text |