Example script and for using R-INLA to estimate greenhouse gas emissions.
The example uses simulated data to estimate simulated emissions of methane from the UK.
The method is explained in the paper:
Western, L. M., Sha, Z., Rigby, M., Ganesan, A. L., Manning, A. J., Stanley, K. M., O'Doherty, S. J., Young, D., and Rougier, J.: Bayesian spatiotemporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-66, in review, 2019.
The inventory for methane emissions is from the EDGAR v4.3.2 database:
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Bergamaschi, P., Pagliari, V., Olivier, J.G., Peters, J.A. and Aardenne, J.A.V., 2019. EDGAR v4. 3.2 Global Atlas of the three major Greenhouse Gas Emissions for the period 1970–2012. Earth System Science Data, 11(3), pp.959-1002.
Atmospheric transport is simulated using the NAME model from the UK Met Office:
Jones, A., Thomson, D., Hort, M. and Devenish, B., 2007. The UK Met Office's next-generation atmospheric dispersion model, NAME III. In Air pollution modeling and its application XVII (pp. 580-589). Springer, Boston, MA.
