Articles | Volume 14, issue 2
Development and technical paper
02 Feb 2021
Development and technical paper |  | 02 Feb 2021

Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0)

Franziska Winterstein and Patrick Jöckel

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Cited articles

Austin, J., Wilson, J., Li, F., and Vömel, H.: Evolution of Water Vapor Concentrations and Stratospheric Age of Air in Coupled Chemistry-Climate Model Simulations, B. Am. Meteorol. Soc., 64, 905–921,, 2007. a
Bergamaschi, P., Brühl, C., Brenninkmeijer, C. A. M., Saueressig, G., Crowley, J. N., Grooß, J. U., Fischer, H., and Crutzen, P. J.: Implications of the large carbon kinetic isotope effect in the reaction CH4+ Cl for the 13C12C ratio of stratospheric CH4, Geophys. Res. Lett., 23, 2227–2230,, 1996. a
Bigeleisen, J.: Isotope Effects in Chemistry and Biology, chap. 01, Theoretical Basis of Isotope Effects from an Autobiographical Perspective, Taylor and Taylor and Francis Group, LLC, 1–40,, 2005. a
Boville, B. A., Kiehl, J. T., Rasch, P. J., and Bryan, F. O.: Improvements to the NCAR CSM-1 for Transient Climate Simulations, J. Climate, 14, 164–179,<0164:ITTNCF>2.0.CO;2, 2001. a
Bruhwiler, L. M. P., Michalak, A. M., Peters, W., Baker, D. F., and Tans, P.: An improved Kalman Smoother for atmospheric inversions, Atmos. Chem. Phys., 5, 2691–2702,, 2005. a
Short summary
Atmospheric methane is currently a hot topic in climate research. This is partly due to its chemically active nature. We introduce a simplified approach to simulate methane in climate models to enable large sensitivity studies by reducing computational cost but including the crucial feedback of methane on stratospheric water vapour. We further provide options to simulate the isotopic content of methane and to generate output for an inverse optimization technique for emission estimation.