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A multi-year global methane data set obtained by merging observations from TROPOMI and IASI

Shahzadi, Kanwal ; Schneider, Matthias 1; Ying Lo, Nga; Hase, Frank; Meyer, Jörg; Cayoglu, Ugur 2; Borsdorff, Tobias; Martinez-Velarte, Mari C.
1 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)
2 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Data products of atmospheric methane (CH4) with improved vertical sensitivity in the lower tropo-
sphere are crucial for gaining a more comprehensive understanding of the impact of anthropogenic emissions.
This study presents a CH4 data product derived from the synergetic combination of level 2 (L2) data from
TROPOMI (Tropospheric Monitoring Instrument) and IASI (Infrared Atmospheric Sounding Interferometer),
specifically CH4 total column and CH4 profiles, respectively. IASI enables high-quality observation of CH4
mixing ratios in the upper troposphere and lower stratosphere, and TROPOMI observations excel in providing
sensitivity to the total column-averaged mixing ratio of CH4. By combining the IASI and TROPOMI L2 products
synergetically, we can detect tropospheric CH4 (mixing ratios averaged over a layer representing the lowermost
50 % of the atmosphere) that is not significantly affected by the strong CH4 variations around the tropopause.
This is not achievable by using IASI or TROPOMI data alone.
For the synergetic L2 data combination, we use the method as presented in detail in Schneider et al. (2022b),
and apply it to combine about 444 million individual and high-quality TROPOMI observations with about 805
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Verlagsausgabe §
DOI: 10.5445/IR/1000191924
Veröffentlicht am 01.04.2026
Originalveröffentlichung
DOI: 10.5194/essd-18-2153-2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000191924
Erschienen in Earth System Science Data
Verlag Copernicus Publications
Band 18
Heft 3
Seiten 2153–2177
Vorab online veröffentlicht am 25.03.2026
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