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relationship between emissions and species are non-linear e.g. isotope data
in this case, some of the observed data are ratios of quantities calculated via (sensitivity) x (flux)
Alice wrote code to do this Adding multi gas model #24, but it uses a custom MCMC algorithm. Ideally we would use PyMC
Regardless of how we sample, Adding multi gas model #24 contains a lot of useful code for dealing with ratios of isotopes
there is a non-linearity introduced since the observed "delta" values are related to the fluxes via ratios.
A potential issue will be specifying these models in a configuration file. We should allow for any number of species and any number of sectors. When using tracers and isotopes, parts of the forward model are "relative" to other parts of the forward model, and we need to be able to specify what species are measured as ratios of another species. We also need to be able to specify when the non-linearity for delta quantities need to be used.
The text was updated successfully, but these errors were encountered:
In order of complexity, we would like to extend RHIME to include:
A potential issue will be specifying these models in a configuration file. We should allow for any number of species and any number of sectors. When using tracers and isotopes, parts of the forward model are "relative" to other parts of the forward model, and we need to be able to specify what species are measured as ratios of another species. We also need to be able to specify when the non-linearity for delta quantities need to be used.
The text was updated successfully, but these errors were encountered: