This
methodology is demonstrated for a basic Gaussian plume
dispersion model and verified in the context of an identical
twin numerical experiment, in which synthetic dispersion
data is created with the same dispersion model. Error
bounds are set using Monte Carlo techniques and
robustness assessed by adding white noise