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http://hdl.handle.net/20.500.11765/14131
Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products
Title: | Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products |
Authors: | Schneider, Matthias
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Keywords: | IASI; Atmospheric trace gas; TROPOMI; Methane; Tropospheric Monitoring Instrument; Infrared Atmospheric Sounding Interferometer |
Issue Date: | 2022 |
Publisher: | European Geosciences Union; Copernicus Publications |
Citation: | Atmospheric Measurement Techniques. 2022, 15(14), 4339–4371 |
Publisher version: | https://doi.org/10.5194/amt-15-4339-2022 |
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. |
Sponsorship : | This research has been supported by the Deutsche Forschungsgemeinschaft (project MOTIV (grant no. 290612604), and project TEDDY (grant no. 416767181)), the Ministerio de Economía y Competitividad (grant no. CGL2016-80688-P), the European Space Agency (grant nos. 4000127561/19/I-NS and ESA-IPLPOE-LG-cl-LE-2015-1129), the Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg, and the Bundesministerium für Bildung und Forschung for funding in the context of the ForHLR and HoreKa supercomputing infrastructure. |
URI: | http://hdl.handle.net/20.500.11765/14131 |
ISSN: | 1867-1381 1867-8548 |
Appears in Collections: | Artículos científicos 2019-2022 |
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