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New calibration noise suppression techniques for the GLORIA limb imager

Guggenmoser, T.; Blank, J.; Kleinert, A.; Latzko, T.; Ungermann, J.; Friedl-Vallon, F.; Höpfner, M.; Kaufmann, M.; Kretschmer, E.; Maucher, G.; Neubert, T.; Oelhaf, H.; Preusse, P.; Riese, M.; Rongen, H.; Sha, M.K.; Sumińska-Ebersoldt, O.; Tan, V.

The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) presents new opportunities for the retrieval of trace gases in the upper troposphere and lower stratosphere. The radiometric calibration of the measured signal is achieved using in-flight measurements of reference blackbody and upward-pointing “deep space” scenes. In this paper, we present techniques developed specifically to calibrate GLORIA data exploiting the instrument’s imaging capability. The algorithms discussed here make use of the spatial correlation of parameters across GLORIA’s detector pixels in order to mitigate the noise levels and artefacts in the calibration measurements. This is achieved by combining a priori and empirical knowledge about the instrument background radiation with noisemitigating compression methods, specifically low-pass filtering and principal component analysis (PCA). In addition, a new software package for the processing of GLORIA data is introduced which allows us to generate calibrated spectra from raw measurements in a semi-automated data processing chain.

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Volltext §
DOI: 10.5445/IR/1000058020
DOI: 10.5194/amt-8-3147-2015
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000058020
HGF-Programm 12.04.03 (POF III, LK 01) Stratospheric Ozone and Climate Change
Erschienen in Atmospheric measurement techniques
Verlag Copernicus Publications
Band 8
Heft 8
Seiten 3147-3161
Nachgewiesen in Dimensions
Web of Science
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