Martin Thomas Brolly

Stochasticity and probabilistic trajectory scoring are essential for data-driven closures of chaotic systems

Coarse-grained models of chaotic systems neglect unresolved degrees of freedom, inducing structured model error that limits predictability and distorts long-term statistics. Typical data-driven closures are trained to minimize prediction error over a single time step, implicitly...