Spatiotemporal reconstructions of global CO2-fluxes using Gaussian Markov random fields
Atmospheric inverse modeling is a method for reconstructing historical fluxes of green-house gas between land and atmosphere, using observed atmospheric concentrations and an atmospheric tracer transport model. The small number of observed atmospheric concentrations in relation to the number of unknown flux components makes the inverse problem ill-conditioned, and assumptions on the fluxes are nee