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.
Physics constrained nonlinear regression models for time series.Nonlinearity, 26(1):201–217
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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.