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Global CH$_4$ fluxes derived from JAXA/GOSAT lower-tropospheric partial column data and the CarbonTracker Europe-CH$_4$ atmospheric inverse model

Tsuruta, Aki ; Kuze, Akihiko; Shiomi, Kei; Kataoka, Fumie; Kikuchi, Nobuhiro; Aalto, Tuula; Backman, Leif; Kivimäki, Ella; Tenkanen, Maria K.; McKain, Kathryn; Garcia, Omaira; Hase, Frank 1,2; Kivi, Rigel; Murino, Isamu; Ohyama, Hirofumi; Pollard, David F.; Sha, Mahesh K.; Strong, Kimberly; Sussmann, Ralf 2,3; ... mehr

Abstract:

Satellite-driven inversions provide valuable information about methane (CH$_4$) fluxes, but the assimilation of total column-averaged dry-air mole fractions of CH$_4$ (XCH$_4$) has been challenging. This study explores, for the first time, the potential of the new lower-tropospheric partial column (pXCH$_4$_LT) GOSAT data, retrieved by the Japan Aerospace Exploration Agency (JAXA), to constrain global and regional CH$_4$ fluxes. Using the CarbonTracker Europe-CH$_4$ (CTE-CH4) atmospheric inverse model, we estimated CH$_4$ fluxes between 2016–2019 by assimilating the JAXA/GOSAT pXCH$_4$_LT and XCH$_4$ data and surface CH$_4$ observations independently of each other. The Northern Hemisphere CH$_4$ fluxes derived from the pXCH$_4$_LT data were similar to the estimates derived from the surface observations but were underestimated by about 35 Tg CH$_4$ yr$^{−1}$ (∼ 6 % of the global total) using the XCH$_4$ data. For the Southern Hemisphere, the estimates from both GOSAT inversions were about 15–30 Tg CH$_4$ yr$^{−1}$ higher than those derived from surface data. The evaluations against independent data from the Atmospheric Tomography Mission aircraft campaign showed good agreement in the lower-tropospheric CH$_4$ from the inversions using the pXCH$_4$_LT and surface data. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000186828
Veröffentlicht am 13.11.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000186828
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 25
Heft 14
Seiten 7829–7862
Vorab online veröffentlicht am 24.07.2025
Nachgewiesen in Web of Science
OpenAlex
Dimensions
Scopus
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