  We explore the chaotic dynamics of Rayleigh-B\'enard convection using
large-scale, parallel numerical simulations for experimentally accessible
conditions. We quantify the connections between the spatiotemporal dynamics of
the leading-order Lyapunov vector and different measures of the flow field
pattern's topology and dynamics. We use a range of pattern diagnostics to
describe the spatiotemporal features of the flow field structures which
includes many of the traditional diagnostics used to describe convection as
well as some diagnostics tailored to capture the dynamics of the patterns.
Using precision-recall curves, we quantify the complex relationship between the
pattern diagnostics and the regions where the magnitude of the leading-order
Lyapunov vector is significant.

Fluid Dynamics