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Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products

Schneider, Matthias 1; Ertl, Benjamin 1,2; Tu, Qiansi 1; Diekmann, Christopher J. 1; Khosrawi, Farahnaz 1; Röhling, Amelie N. 1; Hase, Frank 1; Dubravica, Darko 1; García, Omaira E.; Sepúlveda, Eliezer 1; Borsdorff, Tobias 3; Landgraf, Jochen 3; Lorente, Alba; Butz, André; Chen, Huilin; Kivi, Rigel; Laemmel, Thomas; Ramonet, Michel; Crevoisier, Cyril; ... mehr

Abstract:

The thermal infrared nadir spectra of IASI (Infrared Atmospheric Sounding Interferometer) are successfully used for retrievals of different atmospheric trace gas profiles. However, these retrievals offer generally reduced information about the lowermost tropospheric layer due to the lack of thermal contrast close to the surface. Spectra of scattered solar radiation observed in the near-infrared and/or shortwave infrared, for instance by TROPOMI (TROPOspheric Monitoring Instrument), offer higher sensitivity near the ground and are used for the retrieval of total-column-averaged mixing ratios of a variety of atmospheric trace gases. Here we present a method for the synergetic use of IASI profile and TROPOMI total-column level 2 retrieval products. Our method uses the output of the individual retrievals and consists of linear algebra a posteriori calculations (i.e. calculation after the individual retrievals). We show that this approach has strong theoretical similarities to applying the spectra of the different sensors together in a single retrieval procedure but with the substantial advantage of being applicable to data generated with different individual retrieval processors, of being very time efficient, and of directly benefiting from the high quality and most recent improvements of the individual retrieval processors.
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Verlagsausgabe §
DOI: 10.5445/IR/1000150025
Veröffentlicht am 17.08.2022
Originalveröffentlichung
DOI: 10.5194/amt-15-4339-2022
Scopus
Zitationen: 4
Dimensions
Zitationen: 6
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: 1867-1381, 1867-8548
KITopen-ID: 1000150025
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 Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 15
Heft 14
Seiten 4339–4371
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 29.07.2022
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