Space-Time Modeling of Vertical Ozone Profiles

Jaeyong Lee and James O. Berger

Ozonesondes collect data relevant to ozone level at various altitudes. Modeling this data involves a combination of spatial and temporal modeling. The spatial component can be conveniently modeled as a four component mixture of normal distributions. The (relatively few) parameters of this mixture can then be modeled in a time-dependent fashion, via a dynamic linear model. Computations are carried out via Markov Chain Monte Carlo methods.

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