Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9545-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-9545-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jun 2021
Research article |
| 24 Jun 2021
| 24 Jun 2021
Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation
Ilya Stanevich
CORRESPONDING AUTHOR
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Dylan B. A. Jones
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Martin Keller
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Daven K. Henze
Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, USA
California Institute of Technology, Pasadena, CA, USA
Robert J. Parker
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation (NCEO), University of Leicester, Leicester, UK
Hartmut Boesch
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation (NCEO), University of Leicester, Leicester, UK
Debra Wunch
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Christof Petri
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Ralf Sussmann
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
Matthias Schneider
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Frank Hase
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Rigel Kivi
Finnish Meteorological Institute, Sodankylä, Finland
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
Voltaire A. Velazco
Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
Kaley A. Walker
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Feng Deng
Department of Physics, University of Toronto, Toronto, Ontario, Canada
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Short summary
We explore the utility of a weak-constraint (WC) four-dimensional variational (4D-Var) data assimilation scheme for mitigating systematic errors in methane simulation in the GEOS-Chem model. We use data from the Greenhouse Gases Observing Satellite (GOSAT) and show that, compared to the traditional 4D-Var approach, the WC scheme improves the agreement between the model and independent observations. We find that the WC corrections to the model provide insight into the source of the errors.
We explore the utility of a weak-constraint (WC) four-dimensional variational (4D-Var) data...
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