Statistical modeling of high-dimensional, time-varying, non-stationary time
series enables the discovery of temporal, spatial, and multivariate statistical
dependencies in large-scale climate simulations. Using latent variable models
of tropical storm trajectories, we can infer the statistical relationships
between space-time-varying 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 global-scale, long-term climate
patterns on such short-term, local events.
|