OpenGHG Inversions Documentation#

OpenGHG Inversions is a Python package that is being developed as part of the [OpenGHG project](https://openghg.org) with the aim of merging the data-processing and simulation modelling capabilities of OpenGHG with the atmospheric Bayesian inverse models developed by the Atmospheric Chemistry Research Group (ACRG) at the University of Bristol, UK.

OpenGHG Inversions now uses RHIME as the modern runner for regional inversion workflows. The older fixedbasis/HBMCMC entry points remain only as compatibility context while existing scripts are migrated.

Currently, OpenGHG Inversions includes the following regional inversion models:

Hierarchical Bayesian Markov Chain Monte Carlo (HBMCMC) model (as described in Ganesan et al., 2014, _ACP_)

Releases are tagged with a DOI.

Contents:

Using OpenGHG Inversions
openghg_inversions
- openghg_inversions