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Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products
Título : Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products
Autor : Schneider, MatthiasErtl, BenjaminTu, QiansiDiekmann, ChristopherKhosrawi, FarahnazRöhling, Amelie N.Hase, FrankDubravica, DarkoGarcía Rodríguez, Omaira ElenaSepúlveda Hernández, EliezerBorsdorff, TobiasLandgraf, JochenLorente, AlbaButz, AndréChen, HuilinKivi, RigelLaemmel, ThomasRamonet, MichelCrevoisier, CyrilPernin, JéromeSteinbacher, MartinMeinhardt, FrankStrong, KimberlyWunch, DebraWarneke, ThorstenRoehl, Coleen M.Wennberg, Paul O.Morino, IsamuIraci, LauraShiomi, KeiDeutscher, Nicholas MichaelGriffith, David W. T.Velazco, Voltaire A.Pollard, David F.
Palabras clave : IASI; Atmospheric trace gas; TROPOMI; Methane; Tropospheric Monitoring Instrument; Infrared Atmospheric Sounding Interferometer
Fecha de publicación : 2022
Editor: European Geosciences Union; Copernicus Publications
Citación : Atmospheric Measurement Techniques. 2022, 15(14), 4339–4371
Versión del editor: https://doi.org/10.5194/amt-15-4339-2022
Resumen : 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.
Patrocinador: 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
Colecciones: Artículos científicos 2019-2022


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