A new framework integrates data assimilation and information-theoretic diagnostics to identify latent precursors, pathways, and mechanisms of extreme events in partially observed stochastic dynamical systems.
Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 115(44):11138–11143
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Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems
A new framework integrates data assimilation and information-theoretic diagnostics to identify latent precursors, pathways, and mechanisms of extreme events in partially observed stochastic dynamical systems.