Statistical modeling of highdimensional, timevarying, nonstationary time
series enables the discovery of temporal, spatial, and multivariate statistical
dependencies in largescale climate simulations. Using latent variable models
of tropical storm trajectories, we can infer the statistical relationships
between spacetimevarying atmospheric variables along a storm trajectory and
the likelihood of the storm evolving into an intense hurricane. Hierarchical,
stochastic models can predict the influence of globalscale, longterm climate
patterns on such shortterm, local events.
