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


Total article views: 3,407 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,090 1,061 256 3,407 429 168 162
  • HTML: 2,090
  • PDF: 1,061
  • XML: 256
  • Total: 3,407
  • Supplement: 429
  • BibTeX: 168
  • EndNote: 162
Views and downloads (calculated since 27 Apr 2016)
Cumulative views and downloads (calculated since 27 Apr 2016)


Saved (preprint)

Latest update: 22 Sep 2023
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.