Weining Zhou and Bruno Sansó
12/31/2006 09:00 AM
Applied Mathematics & Statistics
A computer simulator for atmospheric concetrations of chemical species, or chemical transport model, is used to simulate global ozone concentrations. Two different wind forcings are considered, one a combination of a numerical weather prediction model and observational data, the other results from a climate model. The goal is to study the impact of meteorological variability on ozone. The statistical approach that we consider consists on learning the spatial structure of ozone concentrations by using process convolutions. Then we use several Bayesian model comparison methods to determine if the two simulations can be considered as realizations of the same random field. The methods provide a quantification of the differences for each of the computer model grid cells.
