Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 9
Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3213-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3213-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 9
Development and technical paper
 | 
19 Sep 2016
Development and technical paper |  | 19 Sep 2016

Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo

Mark F. Lunt, Matt Rigby, Anita L. Ganesan, and Alistair J. Manning

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Short summary
Bayesian inversions can be used to estimate emissions of gases from atmospheric data. We present an inversion framework that objectively defines the basis functions, which describe regions of emissions. The framework allows for the uncertainty in the choice of basis functions to be propagated through to the posterior emissions distribution in a single-step process, and provides an alternative to using a single set of basis functions.
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