Articles | Volume 17, issue 7
https://doi.org/10.5194/acp-17-4781-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-4781-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
National Centre for Earth Observation, School of GeoSciences, University
of Edinburgh, Edinburgh, UK
Paul I. Palmer
National Centre for Earth Observation, School of GeoSciences, University
of Edinburgh, Edinburgh, UK
Hartmut Bösch
National Centre for Earth Observation, Department of Physics and
Astronomy, University of Leicester, Leicester, UK
Robert J. Parker
National Centre for Earth Observation, Department of Physics and
Astronomy, University of Leicester, Leicester, UK
Alex J. Webb
National Centre for Earth Observation, Department of Physics and
Astronomy, University of Leicester, Leicester, UK
Caio S. C. Correia
Instituto de Pesquisas Energéticas e Nucleares (IPEN) – Comissao
Nacional de Energia Nuclear (CNEN) – Atmospheric Chemistry Laboratory, Cidade
Universitaria, São Paulo, Brazil
Nicholas M. Deutscher
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Lucas G. Domingues
Instituto de Pesquisas Energéticas e Nucleares (IPEN) – Comissao
Nacional de Energia Nuclear (CNEN) – Atmospheric Chemistry Laboratory, Cidade
Universitaria, São Paulo, Brazil
Dietrich G. Feist
Max Planck Institute for Biogeochemistry, Jena, Germany
Luciana V. Gatti
Instituto de Pesquisas Energéticas e Nucleares (IPEN) – Comissao
Nacional de Energia Nuclear (CNEN) – Atmospheric Chemistry Laboratory, Cidade
Universitaria, São Paulo, Brazil
Emanuel Gloor
School of Geography, University of Leeds, Leeds, UK
Frank Hase
Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe,
Germany
Rigel Kivi
FMI-Arctic Research Center, Sodankylä, Finland
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
John B. Miller
Global Monitoring Division, Earth System Research Laboratory, National
Oceanic and Atmospheric Administration, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado, Boulder, CO, USA
Isamu Morino
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Ralf Sussmann
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and
Climate Research - Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen,
Germany
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Canada
Osamu Uchino
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Jing Wang
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Andreas Zahn
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and
Climate Research (IMK), Eggenstein-Leopoldshafen, Germany
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- The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
- A decade of GOSAT Proxy satellite CH4 observations R. Parker et al. 10.5194/essd-12-3383-2020
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- Application of Ensemble Kalman Smoothing in Inverse Modeling of Advection and Diffusion E. Klimova 10.1134/S1995423924030030
- The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
Latest update: 08 Jul 2025
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.
We use the GEOS-Chem global 3-D model of atmospheric chemistry and transport and an ensemble...
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