Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/12823
Synergetic use of IASI and TROPOMI space borne sensors for generating a tropospheric methane profile product
Title: Synergetic use of IASI and TROPOMI space borne sensors for generating a tropospheric methane profile product
Authors: Schneider, Matthias RESEARCHERID Ertl, BenjaminDiekmann, ChristopherKhosrawi, FarahnazRöhling, Amelie N.Hase, FrankDubravica, DarkoGarcía Rodríguez, Omaira Elena ORCID RESEARCHERID Autor AEMETSepúlveda Hernández, EliezerBorsdorff, TobiasLandgraf, JochenLorente, AlbaChen, HuilinKivi, RigelLaemmel, ThomasRamonet, MichelCrevoisier, CyrilPernin, JéromeSteinbacher, MartinMeinhardt, FrankDeutscher, Nicholas MichaelGriffith, David W. T.Velazco, Voltaire A.Pollard, David F.
Keywords: IASI; Atmospheric trace gas; TROPOMI; Total column data; Atmospheric methane
Issue Date: 2021
Publisher: European Geosciences Union
Citation: Atmospheric Measurement Techniques Discussions. 2021
Publisher version: https://dx.doi.org/10.5194/amt-2021-31
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 and/or short wave infrared, for instance by TROPOMI (TROPOspheric Monitoring Instrument) offer higher sensitivity near 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 data. 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 is largely equivalent 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 largely benefit from funds of the Deutsche Forschungsgemeinschaft (provided for the two projects MOTIV and TEDDY with IDs/Geschäftszeichen 290612604/GZ:SCHN1126/2-1 and 416767181/GZ:SCHN1126/5-1, respectively) and from support by the European Space Agency in the context the "Sentinel-5p+Innovation (S5p+I) - Water Vapour Isotopologues (H2O-ISO)" activities. Furthermore, we acknowledge funds from the Ministerio de Economía y Competividad from Spain for the project INMENSE (CGL2016-80688-P).
URI: http://hdl.handle.net/20.500.11765/12823
ISSN: 1867-8610
Appears in Collections:Artículos científicos 2019-2022


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