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Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events
Extreme events in chaotic systems are difficult to learn from short trajectories because they are controlled by transient finite-time instability rather than by frequently observed bulk dynamics. We propose a mechanism-aware conditioning plug-in framework that turns a nudged coarse ensemble into a n
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