Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 3213–3229, 2016
https://doi.org/10.5194/gmd-9-3213-2016
Geosci. Model Dev., 9, 3213–3229, 2016
https://doi.org/10.5194/gmd-9-3213-2016

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 et al.

Viewed

Total article views: 2,200 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,116 869 215 2,200 354 145 138
  • HTML: 1,116
  • PDF: 869
  • XML: 215
  • Total: 2,200
  • Supplement: 354
  • BibTeX: 145
  • EndNote: 138
Views and downloads (calculated since 27 Apr 2016)
Cumulative views and downloads (calculated since 27 Apr 2016)

Cited

Saved (preprint)

Latest update: 19 Jan 2022
Download
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.