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Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014

Feng, Liang; Palmer, Paul I.; Bösch, Hartmut; Parker, Robert J .; Webb, Alex J.; Correia, Caio S. C.; Deutscher, Nicholas M.; Domingues, Lucas G.; Feist, Dietrich G.; Gatti, Luciana V.; Gloor, Emanuel; Hase, Frank; Kivi, Rigel; Liu, Yi; Miller, John B.; Morino, Isamu; Sussmann, Ralf; Strong, Kimberly; Uchino, Osamu; ... mehr

Abstract:

We use the GEOS-Chem global 3-D model of atmospheric chemistry and transport and an ensemble Kalman filter to simultaneously infer regional fluxes of methane (CH$_{4}$) and carbon dioxide (CO$_{2}$) directly from GOSAT retrievals of XCH$_{4}$ :XCO$_{2}$, using sparse ground-based CH$_{4}$ and CO$_{2}$ mole fraction data to anchor the ratio. This work builds on the previously reported theory that takes into account that (1) these ratios are less prone to systematic error than either the full-physics data products or the proxy CH$_{4}$ data products; and (2) the resulting CH$_{4}$ and CO$_{2}$ fluxes are self-consistent. We show that a posteriori fluxes inferred from the GOSAT data generally outperform the fluxes inferred only from in situ data, as expected. GOSAT CH$_{4}$ and CO$_{2}$ fluxes are consistent with global growth rates for CO$_{2}$ and CH$_{4}$ reported by NOAA and have a range of independent data including new profile measurements (0–7 km) over the Amazon Basin that were collected specifically to help validate GOSAT over this geographical region. We find that large-scale multi-year annual a posteriori CO$_{2}$ fluxes inferred from GOSAT data are similar to those inferred from the in situ surface data but with smaller uncertainties, particularly over the tropics. ... mehr


Volltext §
DOI: 10.5445/IR/1000066082
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 1680-7367, 1680-7375
urn:nbn:de:swb:90-660822
KITopen-ID: 1000066082
HGF-Programm 12.03.01 (POF III, LK 01) Long term observations of tropospheric
Erschienen in Atmospheric chemistry and physics / Discussions
Verlag European Geosciences Union (EGU)
Seiten 1–33
Nachgewiesen in Dimensions
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