Anders Malmberg
	
A Stochastic Transport Model for Atmospheric Carbon Monoxide

Abstract:

Tropospheric Carbon Monoxide (CO) is an important trace gas and air
quality indicator and is one of the few atmospheric species that can
be remotely sensed from space. The Terra satellite provides
observations of global CO mixing ratios that can be used to better
understand the transport and transformation of CO. To sensibly
validate satellite data and for use in assimilation contexts, a
hierarchical Bayesian spatio-temporal model, which is based on an
advection/diffusion idea, is suggested. Based on a Observing System
Simulation Experiments, results and interpretations of the estimated
model parameters are presented and discussed.