Determination of Cloud Parameters from SCIAMACHY Data for the Correction of Tropospheric Trace Gases
Abstract
For the accurate retrieval of tropospheric trace gases from SCIAMACHY the availability of cloud parameters is crucial. In this paper we present a new algorithm for the retrieval of cloud fraction from SCIAMACHY data, the Heidelberg Iterative Cloud Retrieval Utilities (HICRU). The reliability of the results are proven through intercomparision with cloud fractions from the FRESCO algorithm and images from Meteosat. The new algorithm for SCIAMACHY is based on the already well validated HICRU algorithm developed for the retrieval of cloud fractions from GOME data. We use broad band spectrometers with high spatial resolution, the Polarization Monitoring Devices. The retrieval applies the widely used threshold method. Our sophisticated, iterative calculation of thresholds including image sequence analysis makes the algorithm also reliable in regions like deserts, which requires a very accurate set of thresholds.
Additional Information
© 2005 European Space Agency. We are grateful to EUMETSAT for providing us with Meteosat images (www.eumetsat.de) as well as to TEMIS project for providing us with FRESCO data (www.temis.nl).Attached Files
Published - 4A3_grzegorski_13.pdf
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Additional details
- Eprint ID
- 57427
- Resolver ID
- CaltechAUTHORS:20150512-072430133
- Created
-
2015-05-12Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Division of Geological and Planetary Sciences
- Series Name
- ESA Special Publication
- Series Volume or Issue Number
- SP-572