Articles | Volume 17, issue 7
Research article
12 Apr 2017
Research article |  | 12 Apr 2017

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

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

Data sets

Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set (data available at: M. Buchwitz, M. Reuter, O. Schneising, W. Hewson, R. G. Detmers, H. Boesch, O. P. Hasekamp, I. Aben, H. Bovensmann, J. P. Burrows, A. Butz, F. Chevallier, B. Dils, C. Frankenberg, J. Heymann, G. Lichtenberg, M. De Mazière, J. Notholt, R. Parker, T. Warneke, C. Zehner, D. W. T. Griffith, N. M. Deutscher, A. Kuze, H. Suto, and D. Wunch

Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements (data available at: L. V. Gatti, M. Gloor, J. B. Miller, C. E. Doughty, Y. Malhi, L. G. Domingues, L. S. Basso, A. Martinewski, C. S. C. Correia, V. F. Borges, S. Freitas, R. Braz, L. O. Anderson, H. Rocha, J. Grace, O. L. Phillips, and J. Lloyd

TCCON Data Archive. hosted by the Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) T. Blumenstock, N. M. Deutscher, M. K. Dubey, D. G. Feist, T.-Y. Goo, D. W. T. Griffith, F. Hase, L. T. Iraci,, K. Shiomi, R. Kivi, M. De Mazière, I. Morino, J. Notholt, D. F. Pollard, K. Strong, R. Sussmann, Y. Té, T. Warneke, and P. O. Wennberg


Short summary
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 (CH4) and carbon dioxide (CO2) directly from GOSAT retrievals of XCH4:XCO2, using sparse ground-based CH4 and CO2 mole fraction data to anchor the ratio. Our results show that assimilation of GOSAT data significantly reduced the posterior uncertainty and changed the a priori spatial distribution of CH4 emissions.
Final-revised paper