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Design and description of the MUSICA IASI full retrieval product

Schneider, Matthias 1; Ertl, Benjamin 1,2; Diekmann, Christopher J. 1; Khosrawi, Farahnaz 1; Weber, Andreas 2; Hase, Frank 1; Höpfner, Michael ORCID iD icon 1; García, Omaira E.; Sepúlveda, Eliezer; Kinnison, Douglas
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)
2 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop (Meteorological operational) satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The processor performs an optimal estimation of the vertical distributions of water vapour (H$_{2}$O), the ratio between two water vapour isotopologues (the HDO/H$_{2}$O ratio), nitrous oxide (N$_{2}$O), methane (CH$_{4}$), and nitric acid (HNO$_{3}$) and works with IASI radiances measured under cloud-free conditions in the spectral window between 1190 and 1400 cm$^{-1}$. The retrieval of the trace gas profiles is performed on a logarithmic scale, which allows the constraint and the analytic treatment of ln [HDO]−ln [H$_{2}$O] as a proxy for the HDO/H$_{2}$O ratio. Currently, the MUSICA IASI processing has been applied to all IASI measurements available between October 2014 and June 2021 and about two billion individual retrievals have been performed.


Verlagsausgabe §
DOI: 10.5445/IR/1000143839
Veröffentlicht am 17.03.2022
Originalveröffentlichung
DOI: 10.5194/essd-14-709-2022
Scopus
Zitationen: 9
Web of Science
Zitationen: 9
Dimensions
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000143839
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Earth System Science Data
Verlag Copernicus Publications
Band 14
Heft 2
Seiten 709–742
Vorab online veröffentlicht am 18.02.2022
Nachgewiesen in Dimensions
Web of Science
Scopus
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