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Description: MCMC inverse model that uses secondary gas observations and a variable emissions ratio for emissions source partitioning

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Bayesian inversion using observations of a secondary trace gas and a variable emissions ratio, to estimate greenhouse gas emissions. Example data files are provided and can be used with the code to estimate one month of UK fossil fuel methane emissions.

This method is described in the paper:

Ramsden, A.E., Ganesan, A.L., Western, L.M., Rigby, M., Manning, A.J., Foulds, A., France, J.L., Barker, P.…

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emissions estimatesgreenhouse gasinverse modellingmethanepython

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