DocumentCode
576457
Title
Ice contamination of Meteosat/SEVIRI IR13.4 channel implied by Inter-Calibration against Metop/IASI
Author
Hewison, Tim ; Müller, Johannes
Author_Institution
EUMETSAT, Darmstadt, Germany
fYear
2012
fDate
22-27 July 2012
Firstpage
7197
Lastpage
7199
Abstract
The inter-calibration of the infrared channels of the geostationary Meteosat/SEVIRI satellite instruments shows most channels are radiometrically consistent with Metop-A/IASI, which is used as a reference instrument. However, the 13.4 μm channel shows a cold bias of ~1 K in warm scenes, which changes with time. This is shown to be consistent with the contamination of SEVIRI by a layer of ice ~1 μm thick building up on the optics, which is believed to have condensed from water outgassed from the spacecraft. This modifies the spectral response functions and hence the weighting functions of channels in stronger atmospheric absorption bands, thus introducing an apparent calibration error. Analysis of the radiometer´s gain using views of the on board black body source and cold space confirm a loss consistent with transmission through a layer of comparable thickness, which also increases the radiometric noise - especially for channels near the 12 μm libration band of water ice. Inter-calibration, such as the Global Space-based Inter-Calibration System (GSICS) Correction, offers an empirical method to correct this bias.
Keywords
aerospace instrumentation; artificial satellites; calibration; ice; remote sensing; GSICS correction; Global Space based Intercalibration System; Meteosat-SEVIRI IR13.4 channel; Metop-A-IASI; black body source; calibration error; channel weighting functions; geostationary satellite instruments; ice contamination; infrared channel intercalibration; radiometer gain; spacecraft outgassed water; spectral response functions; wavelength 13.4 mum; Calibration; Contamination; Decontamination; Ice thickness; Instruments; Optics; Calibration; Decontamination; Earth Observing System; Infrared image sensors; Radiometers; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352002
Filename
6352002
Link To Document