Preprint
Aug 2026
Extremes on Rewind: Generating 1,000-Member Ensembles Initialized at a Final Condition
Scenario planning for rare, high-impact events often requires massive ensembles to stochastically sample relevant trajectories. Although autoregressive weather emulators can efficiently generate such ensembles, isolating trajectories of interest requires sifting through petabytes of data, a challenge that grows exponen...
Jerry Lin, M. Chien, Mansi Sakarvadia et al.
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